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He obtained his bachelor's degree in BS-Statistics at Eastern Visayas State University Tacloban City in 2017 and graduated as Magna Cum Laude. He graduated with a Master's degree in Mathematics Education from Leyte Normal University in 2023. Currently, the university has designated me as the coordinator for the BSEd Mathematics program and the campus Intellectual Property Coordinator since 2022.<br /><b>Address: </b>Tacloban City, 6500, Philippines<br /><div class="js-profile-less-about u-linkUnstyled u-tcGrayDarker u-textDecorationUnderline u-displayNone">less</div></div></div><div class="ri-section"><div class="ri-section-header"><span>Interests</span><a class="ri-more-link js-profile-ri-list-card" data-click-track="profile-user-info-primary-research-interest" data-has-card-for-ri-list="45408445">View All (9)</a></div><div class="ri-tags-container"><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="45408445" href="https://www.academia.edu/Documents/in/Student_Satisfaction"><div id="js-react-on-rails-context" style="display:none" 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data-trace="false" data-dom-id="Pill-react-component-f19c1b21-a5ff-4635-947d-bbb8bec687e2"></div> <div id="Pill-react-component-f19c1b21-a5ff-4635-947d-bbb8bec687e2"></div> </a><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="45408445" href="https://www.academia.edu/Documents/in/Quality_of_teaching_and_learning"><div class="js-react-on-rails-component" style="display:none" data-component-name="Pill" data-props="{"color":"gray","children":["Quality of teaching and learning"]}" data-trace="false" data-dom-id="Pill-react-component-c38a5611-938f-43c8-a9c9-a52bc788b7aa"></div> <div id="Pill-react-component-c38a5611-938f-43c8-a9c9-a52bc788b7aa"></div> </a></div></div><div class="external-links-container"><ul class="profile-links new-profile js-UserInfo-social"><li class="profile-profiles js-social-profiles-container"><i class="fa fa-spin fa-spinner"></i></li></ul></div></div></div><div class="right-panel-container"><div class="user-content-wrapper"><div class="uploads-container" id="social-redesign-work-container"><div class="upload-header"><h2 class="ds2-5-heading-sans-serif-xs">Uploads</h2></div><div class="documents-container backbone-social-profile-documents" style="width: 100%;"><div class="u-taCenter"></div><div class="profile--tab_content_container js-tab-pane tab-pane active" id="all"><div class="profile--tab_heading_container js-section-heading" data-section="Papers" id="Papers"><h3 class="profile--tab_heading_container">Papers by Eduardo Edu Jr. C Cornillez</h3></div><div class="js-work-strip profile--work_container" data-work-id="122038939"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/122038939/Modeling_the_Relationship_among_Digital_Demographic_Characteristics_Digital_Literacy_and_Academic_Performance_of_Mathematics_Major_Students_in_an_online_Learning_Environment"><img alt="Research paper thumbnail of Modeling the Relationship among Digital Demographic Characteristics, Digital Literacy, and Academic Performance of Mathematics Major Students in an online Learning Environment" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/122038939/Modeling_the_Relationship_among_Digital_Demographic_Characteristics_Digital_Literacy_and_Academic_Performance_of_Mathematics_Major_Students_in_an_online_Learning_Environment">Modeling the Relationship among Digital Demographic Characteristics, Digital Literacy, and Academic Performance of Mathematics Major Students in an online Learning Environment</a></div><div class="wp-workCard_item"><span> International Journal of Educational Research and Innovation</span><span>, 2024</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The purpose of the study was to determine the digital demographic characteristics, digital litera...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The purpose of the study was to determine the digital demographic characteristics, digital literacy, and academic performance of students majoring in mathematics in an online learning environment, as well as to model the relationships between these variables. To measure and obtain the necessary data, the study employed a predictive-correlation research design and an adapted research questionnaire. A survey was conducted with a random sample of 322 students from the main and external campuses of the state university of interest. A series of regressions and path analyses were conducted to explore any significant variables that could possibly describe the relationships among the studied variables. Principally, the study found that the levels of information research, retrieval, and management completely and significantly mediated the relationships among the availability of technological devices, use of an electronic learning platform, and students’ academic mathematics performance. In the model validation, the second model demonstrated the<br />consistency of variables such as information research and retrieval and information management literacy in indirectly influencing the relationships between technology device availability and academic performance. A study may be conducted in conjunction with this study, to use the model devised in this study in other locales to further validate the model’s overall consistency.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="122038939"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="122038939"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 122038939; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=122038939]").text(description); $(".js-view-count[data-work-id=122038939]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 122038939; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='122038939']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 122038939, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=122038939]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":122038939,"title":"Modeling the Relationship among Digital Demographic Characteristics, Digital Literacy, and Academic Performance of Mathematics Major Students in an online Learning Environment","translated_title":"","metadata":{"doi":"10.46661/ijeri.9575","abstract":"The purpose of the study was to determine the digital demographic characteristics, digital literacy, and academic performance of students majoring in mathematics in an online learning environment, as well as to model the relationships between these variables. To measure and obtain the necessary data, the study employed a predictive-correlation research design and an adapted research questionnaire. A survey was conducted with a random sample of 322 students from the main and external campuses of the state university of interest. A series of regressions and path analyses were conducted to explore any significant variables that could possibly describe the relationships among the studied variables. Principally, the study found that the levels of information research, retrieval, and management completely and significantly mediated the relationships among the availability of technological devices, use of an electronic learning platform, and students’ academic mathematics performance. In the model validation, the second model demonstrated the\nconsistency of variables such as information research and retrieval and information management literacy in indirectly influencing the relationships between technology device availability and academic performance. A study may be conducted in conjunction with this study, to use the model devised in this study in other locales to further validate the model’s overall consistency.","publication_date":{"day":null,"month":null,"year":2024,"errors":{}},"publication_name":" International Journal of Educational Research and Innovation"},"translated_abstract":"The purpose of the study was to determine the digital demographic characteristics, digital literacy, and academic performance of students majoring in mathematics in an online learning environment, as well as to model the relationships between these variables. To measure and obtain the necessary data, the study employed a predictive-correlation research design and an adapted research questionnaire. A survey was conducted with a random sample of 322 students from the main and external campuses of the state university of interest. A series of regressions and path analyses were conducted to explore any significant variables that could possibly describe the relationships among the studied variables. Principally, the study found that the levels of information research, retrieval, and management completely and significantly mediated the relationships among the availability of technological devices, use of an electronic learning platform, and students’ academic mathematics performance. In the model validation, the second model demonstrated the\nconsistency of variables such as information research and retrieval and information management literacy in indirectly influencing the relationships between technology device availability and academic performance. A study may be conducted in conjunction with this study, to use the model devised in this study in other locales to further validate the model’s overall consistency.","internal_url":"https://www.academia.edu/122038939/Modeling_the_Relationship_among_Digital_Demographic_Characteristics_Digital_Literacy_and_Academic_Performance_of_Mathematics_Major_Students_in_an_online_Learning_Environment","translated_internal_url":"","created_at":"2024-07-14T07:22:09.945-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":45408445,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Modeling_the_Relationship_among_Digital_Demographic_Characteristics_Digital_Literacy_and_Academic_Performance_of_Mathematics_Major_Students_in_an_online_Learning_Environment","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":45408445,"first_name":"Eduardo Edu Jr.","middle_initials":"C","last_name":"Cornillez","page_name":"EduardoEduJrCornillez","domain_name":"evsu","created_at":"2016-03-19T00:46:10.556-07:00","display_name":"Eduardo Edu Jr. C Cornillez","url":"https://evsu.academia.edu/EduardoEduJrCornillez"},"attachments":[],"research_interests":[{"id":2731,"name":"Mathematics Education","url":"https://www.academia.edu/Documents/in/Mathematics_Education"},{"id":409195,"name":"Technology in Mathematics Education","url":"https://www.academia.edu/Documents/in/Technology_in_Mathematics_Education"},{"id":904818,"name":"Using Digital Technology for Learning Mathematics","url":"https://www.academia.edu/Documents/in/Using_Digital_Technology_for_Learning_Mathematics"}],"urls":[{"id":43515859,"url":"https://doi.org/10.46661/ijeri.9575"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="81941966"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/81941966/Factors_influencing_career_preference_of_junior_high_school_students_for_senior_high_school_study"><img alt="Research paper thumbnail of Factors influencing career preference of junior high school students for senior high school study" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/81941966/Factors_influencing_career_preference_of_junior_high_school_students_for_senior_high_school_study">Factors influencing career preference of junior high school students for senior high school study</a></div><div class="wp-workCard_item"><span>TARAN-AWAN Journal of Educational Research and Technology Management</span><span>, 2020</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Choosing a senior high school career or tracks to pursue is one of the most challenging decisions...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Choosing a senior high school career or tracks to pursue is one of the most challenging decisions any junior high school student may undertake. As a response, the objectives of this research were to investigate junior high school student&amp;#39;s career preferences for senior high school studies, as well as the determinants that may influence their career selection. Using a stratified random sample technique, a total of one hundred sixty-six students were chosen at random. To quantify the influence of the indicated career selection determinants on students&amp;#39; career preferences, the researchers used a descriptive and predictive correlational research design. The required data was gathered using a standardized survey questionnaire. Personality, parents, job opportunities, and interest were found to be statistically significant in influencing and predicting students&amp;#39; career preferences, out of the five career selection determinants. In the model, only the peer component (LRT p-value = 0.110) was shown to be statistically insignificant. Among the career selection determinants, the variable interest was found to have the strongest influence on students&amp;#39; course preferences. It can be inferred that diverse career selection factors have statistically significant effects on students&amp;#39; senior high school career choices. Since students&amp;#39; preparation in senior high school is crucial to their subsequent studies in tertiary education, or employment after senior high school, the study gives vital inputs for students, parents, and school officials on how to lead and develop their career plans. A similar study may well be conducted using additional course selection characteristics discussed in the study, or this study could be conducted in a different location to corroborate or refute the findings.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="81941966"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="81941966"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 81941966; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=81941966]").text(description); $(".js-view-count[data-work-id=81941966]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 81941966; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='81941966']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 81941966, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=81941966]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":81941966,"title":"Factors influencing career preference of junior high school students for senior high school study","translated_title":"","metadata":{"abstract":"Choosing a senior high school career or tracks to pursue is one of the most challenging decisions any junior high school student may undertake. As a response, the objectives of this research were to investigate junior high school student\u0026amp;#39;s career preferences for senior high school studies, as well as the determinants that may influence their career selection. Using a stratified random sample technique, a total of one hundred sixty-six students were chosen at random. To quantify the influence of the indicated career selection determinants on students\u0026amp;#39; career preferences, the researchers used a descriptive and predictive correlational research design. The required data was gathered using a standardized survey questionnaire. Personality, parents, job opportunities, and interest were found to be statistically significant in influencing and predicting students\u0026amp;#39; career preferences, out of the five career selection determinants. In the model, only the peer component (LRT p-value = 0.110) was shown to be statistically insignificant. Among the career selection determinants, the variable interest was found to have the strongest influence on students\u0026amp;#39; course preferences. It can be inferred that diverse career selection factors have statistically significant effects on students\u0026amp;#39; senior high school career choices. Since students\u0026amp;#39; preparation in senior high school is crucial to their subsequent studies in tertiary education, or employment after senior high school, the study gives vital inputs for students, parents, and school officials on how to lead and develop their career plans. A similar study may well be conducted using additional course selection characteristics discussed in the study, or this study could be conducted in a different location to corroborate or refute the findings.","publication_date":{"day":null,"month":null,"year":2020,"errors":{}},"publication_name":"TARAN-AWAN Journal of Educational Research and Technology Management"},"translated_abstract":"Choosing a senior high school career or tracks to pursue is one of the most challenging decisions any junior high school student may undertake. As a response, the objectives of this research were to investigate junior high school student\u0026amp;#39;s career preferences for senior high school studies, as well as the determinants that may influence their career selection. Using a stratified random sample technique, a total of one hundred sixty-six students were chosen at random. To quantify the influence of the indicated career selection determinants on students\u0026amp;#39; career preferences, the researchers used a descriptive and predictive correlational research design. The required data was gathered using a standardized survey questionnaire. Personality, parents, job opportunities, and interest were found to be statistically significant in influencing and predicting students\u0026amp;#39; career preferences, out of the five career selection determinants. In the model, only the peer component (LRT p-value = 0.110) was shown to be statistically insignificant. Among the career selection determinants, the variable interest was found to have the strongest influence on students\u0026amp;#39; course preferences. It can be inferred that diverse career selection factors have statistically significant effects on students\u0026amp;#39; senior high school career choices. Since students\u0026amp;#39; preparation in senior high school is crucial to their subsequent studies in tertiary education, or employment after senior high school, the study gives vital inputs for students, parents, and school officials on how to lead and develop their career plans. A similar study may well be conducted using additional course selection characteristics discussed in the study, or this study could be conducted in a different location to corroborate or refute the findings.","internal_url":"https://www.academia.edu/81941966/Factors_influencing_career_preference_of_junior_high_school_students_for_senior_high_school_study","translated_internal_url":"","created_at":"2022-06-20T19:25:37.911-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":45408445,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Factors_influencing_career_preference_of_junior_high_school_students_for_senior_high_school_study","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":45408445,"first_name":"Eduardo Edu Jr.","middle_initials":"C","last_name":"Cornillez","page_name":"EduardoEduJrCornillez","domain_name":"evsu","created_at":"2016-03-19T00:46:10.556-07:00","display_name":"Eduardo Edu Jr. C Cornillez","url":"https://evsu.academia.edu/EduardoEduJrCornillez"},"attachments":[],"research_interests":[{"id":221,"name":"Psychology","url":"https://www.academia.edu/Documents/in/Psychology"},{"id":1601,"name":"Teacher Education","url":"https://www.academia.edu/Documents/in/Teacher_Education"},{"id":22798,"name":"Teacing and Learning in Higher Education","url":"https://www.academia.edu/Documents/in/Teacing_and_Learning_in_Higher_Education"},{"id":823286,"name":"K-12 educational system in the philippines","url":"https://www.academia.edu/Documents/in/K-12_educational_system_in_the_philippines"}],"urls":[{"id":21626977,"url":"https://www.academia.edu/51026190/Factors_influencing_career_preference_of_junior_high_school_students_for_senior_high_school_study"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="81941949"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/81941949/Instructional_Quality_and_Academic_Satisfaction_of_University_Students"><img alt="Research paper thumbnail of Instructional Quality and Academic Satisfaction of University Students" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/81941949/Instructional_Quality_and_Academic_Satisfaction_of_University_Students">Instructional Quality and Academic Satisfaction of University Students</a></div><div class="wp-workCard_item"><span>European Journal of Education Studies</span><span>, 2019</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This study investigated the correlation between student’s perceptions about university instructio...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This study investigated the correlation between student’s perceptions about university instructional quality and students’ academic satisfaction. Emphasis was put on establishing the importance of instructional quality variables on influencing students’ academic satisfaction. The study employed a correlational research design with the use of canonical correlation analysis technique. The study made use of a researcher made survey questionnaire to generate the needed data with prior pilot testing to standardize the survey instrument. A random of 1,303 university students were obtained using stratified random sampling technique. Findings revealed that instructional quality and academic satisfaction variables were correlated. Two canonical functions were computed which indicating both a statistically significant. The canonical loadings indicate that instructional quality was greatly influenced by students’ perception on teachers’ subject matter knowledge and rapport with students and th...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="81941949"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="81941949"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 81941949; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=81941949]").text(description); $(".js-view-count[data-work-id=81941949]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 81941949; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='81941949']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 81941949, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=81941949]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":81941949,"title":"Instructional Quality and Academic Satisfaction of University Students","translated_title":"","metadata":{"abstract":"This study investigated the correlation between student’s perceptions about university instructional quality and students’ academic satisfaction. Emphasis was put on establishing the importance of instructional quality variables on influencing students’ academic satisfaction. The study employed a correlational research design with the use of canonical correlation analysis technique. The study made use of a researcher made survey questionnaire to generate the needed data with prior pilot testing to standardize the survey instrument. A random of 1,303 university students were obtained using stratified random sampling technique. Findings revealed that instructional quality and academic satisfaction variables were correlated. Two canonical functions were computed which indicating both a statistically significant. The canonical loadings indicate that instructional quality was greatly influenced by students’ perception on teachers’ subject matter knowledge and rapport with students and th...","publication_date":{"day":null,"month":null,"year":2019,"errors":{}},"publication_name":"European Journal of Education Studies"},"translated_abstract":"This study investigated the correlation between student’s perceptions about university instructional quality and students’ academic satisfaction. Emphasis was put on establishing the importance of instructional quality variables on influencing students’ academic satisfaction. The study employed a correlational research design with the use of canonical correlation analysis technique. The study made use of a researcher made survey questionnaire to generate the needed data with prior pilot testing to standardize the survey instrument. A random of 1,303 university students were obtained using stratified random sampling technique. Findings revealed that instructional quality and academic satisfaction variables were correlated. Two canonical functions were computed which indicating both a statistically significant. The canonical loadings indicate that instructional quality was greatly influenced by students’ perception on teachers’ subject matter knowledge and rapport with students and th...","internal_url":"https://www.academia.edu/81941949/Instructional_Quality_and_Academic_Satisfaction_of_University_Students","translated_internal_url":"","created_at":"2022-06-20T19:25:13.069-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":45408445,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Instructional_Quality_and_Academic_Satisfaction_of_University_Students","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":45408445,"first_name":"Eduardo Edu Jr.","middle_initials":"C","last_name":"Cornillez","page_name":"EduardoEduJrCornillez","domain_name":"evsu","created_at":"2016-03-19T00:46:10.556-07:00","display_name":"Eduardo Edu Jr. C Cornillez","url":"https://evsu.academia.edu/EduardoEduJrCornillez"},"attachments":[],"research_interests":[{"id":48,"name":"Engineering","url":"https://www.academia.edu/Documents/in/Engineering"},{"id":221,"name":"Psychology","url":"https://www.academia.edu/Documents/in/Psychology"},{"id":1003,"name":"Educational Technology","url":"https://www.academia.edu/Documents/in/Educational_Technology"},{"id":2731,"name":"Mathematics Education","url":"https://www.academia.edu/Documents/in/Mathematics_Education"},{"id":4840,"name":"Statistics Education","url":"https://www.academia.edu/Documents/in/Statistics_Education"},{"id":55840,"name":"Business Management","url":"https://www.academia.edu/Documents/in/Business_Management"},{"id":265402,"name":"Applied Mathematics and Statistics","url":"https://www.academia.edu/Documents/in/Applied_Mathematics_and_Statistics"},{"id":3372152,"name":"Educational Management and Practices","url":"https://www.academia.edu/Documents/in/Educational_Management_and_Practices"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="76281225"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/76281225/Tracer_Study_of_Teacher_Education_Graduates_of_the_Eastern_Visayas_State_University_Tanauan_Campus_Philippines"><img alt="Research paper thumbnail of Tracer Study of Teacher Education Graduates of the Eastern Visayas State University-Tanauan Campus, Philippines" class="work-thumbnail" src="https://attachments.academia-assets.com/84036429/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/76281225/Tracer_Study_of_Teacher_Education_Graduates_of_the_Eastern_Visayas_State_University_Tanauan_Campus_Philippines">Tracer Study of Teacher Education Graduates of the Eastern Visayas State University-Tanauan Campus, Philippines</a></div><div class="wp-workCard_item"><span>European Journal of Education and Pedagogy</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The study&#39;s purpose was to examine the employment characteristics of teacher education gradua...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The study&#39;s purpose was to examine the employment characteristics of teacher education graduates from the classes of 2013 to 2017. Specifically, to explore a graduate&#39;s perception of the extent of the relevance of their chosen program curriculum learning areas to employment, and the extent of the use of competencies and values they learned at university. A survey study design that is descriptive was utilized in the study with a random sample of 179 graduates identified as the primary study respondents. Based on the results, the majority of respondents were employed with permanent or regular employment status and worked locally within the region. Graduates&#39; initial and current employment levels were professional, technical, or supervisory, and they were hired within 1 to 6 months of graduation. Salaries and benefits were the major factors in changing the first job careers of graduates. Moreover, graduates perceived the extent of the curriculum offered as relevant, and the...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="91b9360a968ab7d3fe6aee797c6c64b8" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":84036429,"asset_id":76281225,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/84036429/download_file?st=MTczMjQxOTU4OSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="76281225"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="76281225"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 76281225; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=76281225]").text(description); $(".js-view-count[data-work-id=76281225]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 76281225; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='76281225']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 76281225, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "91b9360a968ab7d3fe6aee797c6c64b8" } } $('.js-work-strip[data-work-id=76281225]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":76281225,"title":"Tracer Study of Teacher Education Graduates of the Eastern Visayas State University-Tanauan Campus, Philippines","translated_title":"","metadata":{"abstract":"The study\u0026#39;s purpose was to examine the employment characteristics of teacher education graduates from the classes of 2013 to 2017. Specifically, to explore a graduate\u0026#39;s perception of the extent of the relevance of their chosen program curriculum learning areas to employment, and the extent of the use of competencies and values they learned at university. A survey study design that is descriptive was utilized in the study with a random sample of 179 graduates identified as the primary study respondents. Based on the results, the majority of respondents were employed with permanent or regular employment status and worked locally within the region. Graduates\u0026#39; initial and current employment levels were professional, technical, or supervisory, and they were hired within 1 to 6 months of graduation. Salaries and benefits were the major factors in changing the first job careers of graduates. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="51026190"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/51026190/Factors_influencing_career_preference_of_junior_high_school_students_for_senior_high_school_study"><img alt="Research paper thumbnail of Factors influencing career preference of junior high school students for senior high school study" class="work-thumbnail" src="https://attachments.academia-assets.com/68897183/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/51026190/Factors_influencing_career_preference_of_junior_high_school_students_for_senior_high_school_study">Factors influencing career preference of junior high school students for senior high school study</a></div><div class="wp-workCard_item"><span>TARAN-AWAN Journal of Educational Research and Technology Management</span><span>, 2020</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Choosing a senior high school career or tracks to pursue is one of the most challenging decision...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Choosing a  senior high school career or tracks to pursue is one of the most challenging decisions any junior high school student may undertake. As a response, the objectives of this research were to investigate junior high school student's career preferences for senior high school studies, as well as the determinants that may influence their career selection. Using a stratified random sample technique, a total of one hundred sixty-six students were chosen at random.  To quantify the influence of the indicated career selection determinants on students' career preferences, the researchers used a descriptive and predictive correlational research design. The required data was gathered using a standardized survey questionnaire. Personality, parents, job opportunities, and interest were found to be statistically significant in influencing and predicting students' career preferences, out of the five career selection determinants. In the model, only the peer component (LRT p-value = 0.110) was shown to be statistically insignificant. Among the career selection determinants, the variable interest was found to have the strongest influence on students' course preferences. It can be inferred that diverse career selection factors have statistically significant effects on students' senior high school career choices. Since students'  preparation in senior high school is crucial to their subsequent studies in tertiary education, or employment after senior high school, the study gives vital inputs for students, parents, and school officials on how to lead and develop their career plans. A similar study may well be conducted using additional course selection characteristics discussed in the study, or this study could be conducted in a different location to corroborate or refute the findings.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="06d7d730a946f13459ce4e017a86b7b8" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":68897183,"asset_id":51026190,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/68897183/download_file?st=MTczMjQxOTU4OSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="51026190"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="51026190"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 51026190; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=51026190]").text(description); $(".js-view-count[data-work-id=51026190]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 51026190; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='51026190']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 51026190, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "06d7d730a946f13459ce4e017a86b7b8" } } $('.js-work-strip[data-work-id=51026190]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":51026190,"title":"Factors influencing career preference of junior high school students for senior high school study","translated_title":"","metadata":{"abstract":"Choosing a senior high school career or tracks to pursue is one of the most challenging decisions any junior high school student may undertake. As a response, the objectives of this research were to investigate junior high school student's career preferences for senior high school studies, as well as the determinants that may influence their career selection. Using a stratified random sample technique, a total of one hundred sixty-six students were chosen at random. To quantify the influence of the indicated career selection determinants on students' career preferences, the researchers used a descriptive and predictive correlational research design. The required data was gathered using a standardized survey questionnaire. Personality, parents, job opportunities, and interest were found to be statistically significant in influencing and predicting students' career preferences, out of the five career selection determinants. In the model, only the peer component (LRT p-value = 0.110) was shown to be statistically insignificant. Among the career selection determinants, the variable interest was found to have the strongest influence on students' course preferences. It can be inferred that diverse career selection factors have statistically significant effects on students' senior high school career choices. Since students' preparation in senior high school is crucial to their subsequent studies in tertiary education, or employment after senior high school, the study gives vital inputs for students, parents, and school officials on how to lead and develop their career plans. 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To quantify the influence of the indicated career selection determinants on students' career preferences, the researchers used a descriptive and predictive correlational research design. The required data was gathered using a standardized survey questionnaire. Personality, parents, job opportunities, and interest were found to be statistically significant in influencing and predicting students' career preferences, out of the five career selection determinants. In the model, only the peer component (LRT p-value = 0.110) was shown to be statistically insignificant. Among the career selection determinants, the variable interest was found to have the strongest influence on students' course preferences. It can be inferred that diverse career selection factors have statistically significant effects on students' senior high school career choices. Since students' preparation in senior high school is crucial to their subsequent studies in tertiary education, or employment after senior high school, the study gives vital inputs for students, parents, and school officials on how to lead and develop their career plans. A similar study may well be conducted using additional course selection characteristics discussed in the study, or this study could be conducted in a different location to corroborate or refute the findings.","internal_url":"https://www.academia.edu/51026190/Factors_influencing_career_preference_of_junior_high_school_students_for_senior_high_school_study","translated_internal_url":"","created_at":"2021-08-27T00:15:56.859-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":45408445,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":36814809,"work_id":51026190,"tagging_user_id":45408445,"tagged_user_id":null,"co_author_invite_id":7290458,"email":"b***n@gmail.com","display_order":1,"name":"Brenda Dublin","title":"Factors influencing career preference of junior high school students for senior high school study"},{"id":36814810,"work_id":51026190,"tagging_user_id":45408445,"tagged_user_id":null,"co_author_invite_id":7290459,"email":"a***a@gmail.com","display_order":2,"name":"Antonette Logrosa","title":"Factors influencing career preference of junior high school students for senior high school study"},{"id":36814811,"work_id":51026190,"tagging_user_id":45408445,"tagged_user_id":45408445,"co_author_invite_id":7290460,"email":"e***z@gmail.com","affiliation":"Eastern Visayas State University","display_order":3,"name":"Eduardo Edu Jr. C Cornillez","title":"Factors influencing career preference of junior high school students for senior high school study"},{"id":36814812,"work_id":51026190,"tagging_user_id":45408445,"tagged_user_id":102522135,"co_author_invite_id":null,"email":"s***y@gmail.com","display_order":4,"name":"rosemary sosing","title":"Factors influencing career preference of junior high school students for senior high school study"}],"downloadable_attachments":[{"id":68897183,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/68897183/thumbnails/1.jpg","file_name":"210_Article_Text_323_1_10_20210724_1_.pdf","download_url":"https://www.academia.edu/attachments/68897183/download_file?st=MTczMjQxOTU4OSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Factors_influencing_career_preference_of.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/68897183/210_Article_Text_323_1_10_20210724_1_-libre.pdf?1630050918=\u0026response-content-disposition=attachment%3B+filename%3DFactors_influencing_career_preference_of.pdf\u0026Expires=1732414835\u0026Signature=YdMrTtqd1x~Htve7xbmycPvCQ0mNrhDoXyKKckTwrbsHCjgTXNvcdefgPg3vwOoZTcSPOSuEPlFuZYHhjZrXDp-m2G7UVwHipf2kPVG366Stl2u3~4pwe5vTzc5JX58mZlbdq8~Lqm6Qe2jBCfWDV6VHOUe3UXtTq71EIQhfWQjeHzsvHnDZYtaPVZcJqjgwuTVsANY3BRTuOfh8qJnWR9um5G1T96SemYvrSYq8vl~-iuYPwqcGr9Q6xV25D7jI1I6Ntcm9RZfGG6hIPqNwgWpNiIvUh5DSdoZwWn4r13-Qr7qIqjFXRZkBiIJZV-JiPyAxb668LSoeHwXXsGdEtg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Factors_influencing_career_preference_of_junior_high_school_students_for_senior_high_school_study","translated_slug":"","page_count":10,"language":"en","content_type":"Work","owner":{"id":45408445,"first_name":"Eduardo Edu Jr.","middle_initials":"C","last_name":"Cornillez","page_name":"EduardoEduJrCornillez","domain_name":"evsu","created_at":"2016-03-19T00:46:10.556-07:00","display_name":"Eduardo Edu Jr. C Cornillez","url":"https://evsu.academia.edu/EduardoEduJrCornillez"},"attachments":[{"id":68897183,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/68897183/thumbnails/1.jpg","file_name":"210_Article_Text_323_1_10_20210724_1_.pdf","download_url":"https://www.academia.edu/attachments/68897183/download_file?st=MTczMjQxOTU4OSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Factors_influencing_career_preference_of.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/68897183/210_Article_Text_323_1_10_20210724_1_-libre.pdf?1630050918=\u0026response-content-disposition=attachment%3B+filename%3DFactors_influencing_career_preference_of.pdf\u0026Expires=1732414835\u0026Signature=YdMrTtqd1x~Htve7xbmycPvCQ0mNrhDoXyKKckTwrbsHCjgTXNvcdefgPg3vwOoZTcSPOSuEPlFuZYHhjZrXDp-m2G7UVwHipf2kPVG366Stl2u3~4pwe5vTzc5JX58mZlbdq8~Lqm6Qe2jBCfWDV6VHOUe3UXtTq71EIQhfWQjeHzsvHnDZYtaPVZcJqjgwuTVsANY3BRTuOfh8qJnWR9um5G1T96SemYvrSYq8vl~-iuYPwqcGr9Q6xV25D7jI1I6Ntcm9RZfGG6hIPqNwgWpNiIvUh5DSdoZwWn4r13-Qr7qIqjFXRZkBiIJZV-JiPyAxb668LSoeHwXXsGdEtg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":1601,"name":"Teacher Education","url":"https://www.academia.edu/Documents/in/Teacher_Education"},{"id":22798,"name":"Teacing and Learning in Higher Education","url":"https://www.academia.edu/Documents/in/Teacing_and_Learning_in_Higher_Education"},{"id":469121,"name":"K12 Educational System in the Philippines","url":"https://www.academia.edu/Documents/in/K12_Educational_System_in_the_Philippines"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="50345054"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/50345054/Tracer_Study_of_Teacher_Education_Graduates_of_the_Eastern_Visayas_State_University_Tanauan_Campus_Philippines"><img alt="Research paper thumbnail of Tracer Study of Teacher Education Graduates of the Eastern Visayas State University-Tanauan Campus, Philippines" class="work-thumbnail" src="https://attachments.academia-assets.com/68367258/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/50345054/Tracer_Study_of_Teacher_Education_Graduates_of_the_Eastern_Visayas_State_University_Tanauan_Campus_Philippines">Tracer Study of Teacher Education Graduates of the Eastern Visayas State University-Tanauan Campus, Philippines</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://evsu.academia.edu/EduardoEduJrCornillez">Eduardo Edu Jr. C Cornillez</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://evsu.academia.edu/RamelitoPaler">Ramelito Paler</a></span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The study's purpose was to examine the employment characteristics of teacher education graduates ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The study's purpose was to examine the employment characteristics of teacher education graduates from the classes of 2013 to 2017. Specifically, to explore a graduate's perception of the extent of the relevance of their chosen program curriculum learning areas to employment, and the extent of the use of competencies and values they learned at university. A survey study design that is descriptive was utilized in the study with a random sample of 179 graduates identified as the primary study respondents. Based on the results, the majority of respondents were employed with permanent or regular employment status and worked locally within the region. Graduates' initial and current employment levels were professional, technical, or supervisory, and they were hired within 1 to 6 months of graduation. Salaries and benefits were the major factors in changing the first job careers of graduates. Moreover, graduates perceived the extent of the curriculum offered as relevant, and the general education and teaching practicum learning areas were found to be the most relevant areas that contribute the most to their employment. Communication, human relations, and self-assurance skills are the most useful workplace competencies and values. Students' university preparation has greatly aided their employment. Similar research may be undertaken in the future, which should include other school-related and employability variables not covered in the study.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="3234632f5b93c2a28b3bd985f184fd53" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":68367258,"asset_id":50345054,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/68367258/download_file?st=MTczMjQxOTU4OSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="50345054"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="50345054"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 50345054; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=50345054]").text(description); $(".js-view-count[data-work-id=50345054]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 50345054; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='50345054']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 50345054, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "3234632f5b93c2a28b3bd985f184fd53" } } $('.js-work-strip[data-work-id=50345054]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":50345054,"title":"Tracer Study of Teacher Education Graduates of the Eastern Visayas State University-Tanauan Campus, Philippines","translated_title":"","metadata":{"doi":"10.24018/ejedu.2021.2.3.143","abstract":"The study's purpose was to examine the employment characteristics of teacher education graduates from the classes of 2013 to 2017. Specifically, to explore a graduate's perception of the extent of the relevance of their chosen program curriculum learning areas to employment, and the extent of the use of competencies and values they learned at university. A survey study design that is descriptive was utilized in the study with a random sample of 179 graduates identified as the primary study respondents. Based on the results, the majority of respondents were employed with permanent or regular employment status and worked locally within the region. Graduates' initial and current employment levels were professional, technical, or supervisory, and they were hired within 1 to 6 months of graduation. Salaries and benefits were the major factors in changing the first job careers of graduates. Moreover, graduates perceived the extent of the curriculum offered as relevant, and the general education and teaching practicum learning areas were found to be the most relevant areas that contribute the most to their employment. Communication, human relations, and self-assurance skills are the most useful workplace competencies and values. Students' university preparation has greatly aided their employment. Similar research may be undertaken in the future, which should include other school-related and employability variables not covered in the study.","publication_date":{"day":null,"month":null,"year":2021,"errors":{}}},"translated_abstract":"The study's purpose was to examine the employment characteristics of teacher education graduates from the classes of 2013 to 2017. Specifically, to explore a graduate's perception of the extent of the relevance of their chosen program curriculum learning areas to employment, and the extent of the use of competencies and values they learned at university. A survey study design that is descriptive was utilized in the study with a random sample of 179 graduates identified as the primary study respondents. Based on the results, the majority of respondents were employed with permanent or regular employment status and worked locally within the region. Graduates' initial and current employment levels were professional, technical, or supervisory, and they were hired within 1 to 6 months of graduation. Salaries and benefits were the major factors in changing the first job careers of graduates. Moreover, graduates perceived the extent of the curriculum offered as relevant, and the general education and teaching practicum learning areas were found to be the most relevant areas that contribute the most to their employment. Communication, human relations, and self-assurance skills are the most useful workplace competencies and values. Students' university preparation has greatly aided their employment. Similar research may be undertaken in the future, which should include other school-related and employability variables not covered in the study.","internal_url":"https://www.academia.edu/50345054/Tracer_Study_of_Teacher_Education_Graduates_of_the_Eastern_Visayas_State_University_Tanauan_Campus_Philippines","translated_internal_url":"","created_at":"2021-07-28T21:07:44.552-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":45408445,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":36740758,"work_id":50345054,"tagging_user_id":45408445,"tagged_user_id":234368024,"co_author_invite_id":7276471,"email":"s***c@evsu.edu.ph","display_order":1,"name":"Sofio Rocky Caminoc","title":"Tracer Study of Teacher Education Graduates of the Eastern Visayas State University-Tanauan Campus, Philippines"},{"id":36740759,"work_id":50345054,"tagging_user_id":45408445,"tagged_user_id":null,"co_author_invite_id":7276472,"email":"b***s@evsu.edu.ph","display_order":2,"name":"Belinda Basas","title":"Tracer Study of Teacher Education Graduates of the Eastern Visayas State University-Tanauan Campus, Philippines"},{"id":36740760,"work_id":50345054,"tagging_user_id":45408445,"tagged_user_id":175359479,"co_author_invite_id":null,"email":"b***e@evsu.edu.ph","display_order":3,"name":"Benedicto Jr. Militante","title":"Tracer Study of Teacher Education Graduates of the Eastern Visayas State University-Tanauan Campus, Philippines"},{"id":36740761,"work_id":50345054,"tagging_user_id":45408445,"tagged_user_id":216281081,"co_author_invite_id":7276473,"email":"r***r@evsu.edu.ph","affiliation":"Eastern Visayas State University","display_order":4,"name":"Ramelito Paler","title":"Tracer Study of Teacher Education Graduates of the Eastern Visayas State University-Tanauan Campus, Philippines"}],"downloadable_attachments":[{"id":68367258,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/68367258/thumbnails/1.jpg","file_name":"143_Article_Text_464_1_10_20210726.pdf","download_url":"https://www.academia.edu/attachments/68367258/download_file?st=MTczMjQxOTU4OSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Tracer_Study_of_Teacher_Education_Gradua.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/68367258/143_Article_Text_464_1_10_20210726-libre.pdf?1627533738=\u0026response-content-disposition=attachment%3B+filename%3DTracer_Study_of_Teacher_Education_Gradua.pdf\u0026Expires=1732414835\u0026Signature=Me~03zBRHbhNHUmVulub0hA5OZlqXeIgSCLmHxS2MSCbgZu6tWSE~J9swkuz2Pjzy8jyQmijl5upuMrAhkvV2HE~xPC~08N~6A-aoR3Qtn8wKN2ZhLh9i2PHo9irsRxs3gkq888KrSdj~~1koDd9mMhsD3l4KXO18sRZcLRGX1SUAlbNoYMSgt5lXugG0JbZzeX73ZFIMChi0sUOwrsClcuJxFhuUZwk5jRxUXLIN1rOLnfSdtgCyHpo9uYLwDTKEOZHYTHUUKs7-ApXaF3VMySN4uAzvAtYreaaPHb3Z2yFZ5RPfKO8ZEAnI2vYBGocHbSo5BBho4ncRQnk5HAKLA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Tracer_Study_of_Teacher_Education_Graduates_of_the_Eastern_Visayas_State_University_Tanauan_Campus_Philippines","translated_slug":"","page_count":8,"language":"en","content_type":"Work","owner":{"id":45408445,"first_name":"Eduardo Edu Jr.","middle_initials":"C","last_name":"Cornillez","page_name":"EduardoEduJrCornillez","domain_name":"evsu","created_at":"2016-03-19T00:46:10.556-07:00","display_name":"Eduardo Edu Jr. C Cornillez","url":"https://evsu.academia.edu/EduardoEduJrCornillez"},"attachments":[{"id":68367258,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/68367258/thumbnails/1.jpg","file_name":"143_Article_Text_464_1_10_20210726.pdf","download_url":"https://www.academia.edu/attachments/68367258/download_file?st=MTczMjQxOTU4OSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Tracer_Study_of_Teacher_Education_Gradua.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/68367258/143_Article_Text_464_1_10_20210726-libre.pdf?1627533738=\u0026response-content-disposition=attachment%3B+filename%3DTracer_Study_of_Teacher_Education_Gradua.pdf\u0026Expires=1732414835\u0026Signature=Me~03zBRHbhNHUmVulub0hA5OZlqXeIgSCLmHxS2MSCbgZu6tWSE~J9swkuz2Pjzy8jyQmijl5upuMrAhkvV2HE~xPC~08N~6A-aoR3Qtn8wKN2ZhLh9i2PHo9irsRxs3gkq888KrSdj~~1koDd9mMhsD3l4KXO18sRZcLRGX1SUAlbNoYMSgt5lXugG0JbZzeX73ZFIMChi0sUOwrsClcuJxFhuUZwk5jRxUXLIN1rOLnfSdtgCyHpo9uYLwDTKEOZHYTHUUKs7-ApXaF3VMySN4uAzvAtYreaaPHb3Z2yFZ5RPfKO8ZEAnI2vYBGocHbSo5BBho4ncRQnk5HAKLA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":2621,"name":"Higher Education","url":"https://www.academia.edu/Documents/in/Higher_Education"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="46962555"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/46962555/Mining_educational_data_in_predicting_the_influence_of_Mathematics_on_the_programming_performance_of_University_students"><img alt="Research paper thumbnail of Mining educational data in predicting the influence of Mathematics on the programming performance of University students" class="work-thumbnail" src="https://attachments.academia-assets.com/66310540/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/46962555/Mining_educational_data_in_predicting_the_influence_of_Mathematics_on_the_programming_performance_of_University_students">Mining educational data in predicting the influence of Mathematics on the programming performance of University students</a></div><div class="wp-workCard_item"><span>Indian Journal of Science and Technology</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="f8be246b38e318db343f21d9fcb851f8" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":66310540,"asset_id":46962555,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/66310540/download_file?st=MTczMjQxOTU4OSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="46962555"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="46962555"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 46962555; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=46962555]").text(description); $(".js-view-count[data-work-id=46962555]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 46962555; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='46962555']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 46962555, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "f8be246b38e318db343f21d9fcb851f8" } } $('.js-work-strip[data-work-id=46962555]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":46962555,"title":"Mining educational data in predicting the influence of Mathematics on the programming performance of University students","translated_title":"","metadata":{"publisher":"Indian Society for Education and Environment","grobid_abstract":"The aim of this study was to investigate the influence of mathematics to the programming performance of Information Technology students and identified the relationships of their performance in programming among genders. Methods/Statistical analysis: The study utilized the data mining method using J48 classification algorithm and descriptive-correlation design. The data were gathered from Electronic Database of the University. Failure ratings of the students were removed as significant outliers and came up with 73 data sets. Pearson r and Point Biserial Correlations were used with 0.05 level of significance alpha to test the correlation between continuous measures of independent and dependent variables. Further, descriptive statistics were used to describe the level of performance in mathematics and programming. Findings: The results show that students demonstrated a high performance in their mathematics in the modern world course with a mean rating of 2.16 (SD=0.27), and a low performance in their mathematics enhancement 1 with a mean grade of 2.81 (SD=0.38). Similar result in their programming course with a mean grade of 2.64 (SD=0.39). The mathematics performance of the students is significantly correlated to their performance in programming. The low performance in mathematics enhancement 1 corresponds to the low performance in programming. Moreover, female students performed better in their programming course compared to males. Applications: The results could help the teachers improve the quality of instructions particularly in mathematics and programming that will improve the performance of the students in both subjects. Concerned University administrators should conduct frequent assessments and curriculum revisits to examine possible areas of improvement beneficial to the students.","publication_name":"Indian Journal of Science and Technology","grobid_abstract_attachment_id":66310540},"translated_abstract":null,"internal_url":"https://www.academia.edu/46962555/Mining_educational_data_in_predicting_the_influence_of_Mathematics_on_the_programming_performance_of_University_students","translated_internal_url":"","created_at":"2021-04-20T02:23:03.862-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":45408445,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":42281321,"work_id":46962555,"tagging_user_id":45408445,"tagged_user_id":186380835,"co_author_invite_id":null,"email":"j***s@evsu.edu.ph","affiliation":"Eastern Visayas State University","display_order":0,"name":"Jessie Richie De los Santos","title":"Mining educational data in 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class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/46962554/Mobile_Games_and_Academic_Performance_of_University_Students"><img alt="Research paper thumbnail of Mobile Games and Academic Performance of University Students" class="work-thumbnail" src="https://attachments.academia-assets.com/66310539/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/46962554/Mobile_Games_and_Academic_Performance_of_University_Students">Mobile Games and Academic Performance of University Students</a></div><div class="wp-workCard_item"><span>International Journal of Innovative Technology and Exploring Engineering</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The increasing number of students who are hooked on playing online mobile games (OMG) is alarming...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The increasing number of students who are hooked on playing online mobile games (OMG) is alarming. As such, this study was realized to address the problem. This study assessed the gaming profile towards OMG and its relation to the academic performance of the engineering students of Eastern Visayas State University Tanauan Campus (EVSUTC). Specifically, the study investigated the correlation between student’s number of hours spent on playing OMG (at school and home), commonly played OMG (at school and home), reasons for playing OMG and attitudes on playing OMG with academic performance utilizing Eta and Pearson r correlation analyses. A random sample of 134 student respondents were selected through purposive sampling of those who are playing OMG using their mobile phones. Descriptive correlational research design was utilized and a validated survey instrument was employed to gather the needed information. The findings revealed that majority of the students played mobile legends and s...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="16d4b7fa63de8ed74a7087b2d09c63cf" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":66310539,"asset_id":46962554,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/66310539/download_file?st=MTczMjQxOTU4OSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="46962554"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="46962554"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 46962554; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=46962554]").text(description); $(".js-view-count[data-work-id=46962554]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 46962554; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='46962554']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 46962554, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "16d4b7fa63de8ed74a7087b2d09c63cf" } } $('.js-work-strip[data-work-id=46962554]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":46962554,"title":"Mobile Games and Academic Performance of University Students","translated_title":"","metadata":{"abstract":"The increasing number of students who are hooked on playing online mobile games (OMG) is alarming. As such, this study was realized to address the problem. This study assessed the gaming profile towards OMG and its relation to the academic performance of the engineering students of Eastern Visayas State University Tanauan Campus (EVSUTC). Specifically, the study investigated the correlation between student’s number of hours spent on playing OMG (at school and home), commonly played OMG (at school and home), reasons for playing OMG and attitudes on playing OMG with academic performance utilizing Eta and Pearson r correlation analyses. A random sample of 134 student respondents were selected through purposive sampling of those who are playing OMG using their mobile phones. Descriptive correlational research design was utilized and a validated survey instrument was employed to gather the needed information. The findings revealed that majority of the students played mobile legends and s...","publisher":"Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP","publication_name":"International Journal of Innovative Technology and Exploring Engineering"},"translated_abstract":"The increasing number of students who are hooked on playing online mobile games (OMG) is alarming. As such, this study was realized to address the problem. This study assessed the gaming profile towards OMG and its relation to the academic performance of the engineering students of Eastern Visayas State University Tanauan Campus (EVSUTC). Specifically, the study investigated the correlation between student’s number of hours spent on playing OMG (at school and home), commonly played OMG (at school and home), reasons for playing OMG and attitudes on playing OMG with academic performance utilizing Eta and Pearson r correlation analyses. A random sample of 134 student respondents were selected through purposive sampling of those who are playing OMG using their mobile phones. Descriptive correlational research design was utilized and a validated survey instrument was employed to gather the needed information. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="45136050"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/45136050/Mobile_Games_and_Academic_Performance_of_University_Students"><img alt="Research paper thumbnail of Mobile Games and Academic Performance of University Students" class="work-thumbnail" src="https://attachments.academia-assets.com/65707805/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/45136050/Mobile_Games_and_Academic_Performance_of_University_Students">Mobile Games and Academic Performance of University Students</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://evsu.academia.edu/EduardoEduJrCornillez">Eduardo Edu Jr. C Cornillez</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://evsu.academia.edu/JessieRichieDelosSantos">Jessie Richie De los Santos</a>, and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/VicenteDCarilloJr">Vicente D. Carillo, Jr</a></span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated"> Abstract: The increasing number of students who are hooked on playing online mobile games (OMG)...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden"> Abstract: The increasing number of students who are hooked on playing online mobile games (OMG) is alarming. As such, this study was realized to address the problem. This study assessed the gaming profile towards OMG and its relation to the academic performance of the engineering students of Eastern Visayas State University Tanauan Campus (EVSUTC). Specifically, the study investigated the correlation between student's number of hours spent on playing OMG (at school and home), commonly played OMG (at school and home), reasons for playing OMG and attitudes on playing OMG with academic performance utilizing Eta and Pearson r correlation analyses. A random sample of 134 student respondents were selected through purposive sampling of those who are playing OMG using their mobile phones. Descriptive correlational research design was utilized and a validated survey instrument was employed to gather the needed information. The findings revealed that majority of the students played mobile legends and spent mostly 2 hours playing OMG for a reason of boredom. The overall attitudes of the students on playing OMG were interpreted as Less Favorable (M=2.58, SD=1.13). Out of the independent variables being set in the study, the number of hours spent on playing OMG at home (r=-0.188, p=0.039) and commonly played OMG at school (r=0.203, p=0.045) were found significantly correlated with student's academic performance. Hence, the students' time spent on playing OMG at home and the type of games that students played at school have significant bearing to their academic performance. As such, delimiting student's usage of internet can be made to address the problem.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="7567742c7ea179d9f2574be2eb56086c" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":65707805,"asset_id":45136050,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/65707805/download_file?st=MTczMjQxOTU4OSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="45136050"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="45136050"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 45136050; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=45136050]").text(description); $(".js-view-count[data-work-id=45136050]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 45136050; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='45136050']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 45136050, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "7567742c7ea179d9f2574be2eb56086c" } } $('.js-work-strip[data-work-id=45136050]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":45136050,"title":"Mobile Games and Academic Performance of University Students","translated_title":"","metadata":{"doi":"10.35940/ijitee.a4788.029420","abstract":" Abstract: The increasing number of students who are hooked on playing online mobile games (OMG) is alarming. As such, this study was realized to address the problem. This study assessed the gaming profile towards OMG and its relation to the academic performance of the engineering students of Eastern Visayas State University Tanauan Campus (EVSUTC). Specifically, the study investigated the correlation between student's number of hours spent on playing OMG (at school and home), commonly played OMG (at school and home), reasons for playing OMG and attitudes on playing OMG with academic performance utilizing Eta and Pearson r correlation analyses. A random sample of 134 student respondents were selected through purposive sampling of those who are playing OMG using their mobile phones. Descriptive correlational research design was utilized and a validated survey instrument was employed to gather the needed information. The findings revealed that majority of the students played mobile legends and spent mostly 2 hours playing OMG for a reason of boredom. The overall attitudes of the students on playing OMG were interpreted as Less Favorable (M=2.58, SD=1.13). Out of the independent variables being set in the study, the number of hours spent on playing OMG at home (r=-0.188, p=0.039) and commonly played OMG at school (r=0.203, p=0.045) were found significantly correlated with student's academic performance. Hence, the students' time spent on playing OMG at home and the type of games that students played at school have significant bearing to their academic performance. As such, delimiting student's usage of internet can be made to address the problem."},"translated_abstract":" Abstract: The increasing number of students who are hooked on playing online mobile games (OMG) is alarming. As such, this study was realized to address the problem. This study assessed the gaming profile towards OMG and its relation to the academic performance of the engineering students of Eastern Visayas State University Tanauan Campus (EVSUTC). Specifically, the study investigated the correlation between student's number of hours spent on playing OMG (at school and home), commonly played OMG (at school and home), reasons for playing OMG and attitudes on playing OMG with academic performance utilizing Eta and Pearson r correlation analyses. A random sample of 134 student respondents were selected through purposive sampling of those who are playing OMG using their mobile phones. Descriptive correlational research design was utilized and a validated survey instrument was employed to gather the needed information. The findings revealed that majority of the students played mobile legends and spent mostly 2 hours playing OMG for a reason of boredom. The overall attitudes of the students on playing OMG were interpreted as Less Favorable (M=2.58, SD=1.13). Out of the independent variables being set in the study, the number of hours spent on playing OMG at home (r=-0.188, p=0.039) and commonly played OMG at school (r=0.203, p=0.045) were found significantly correlated with student's academic performance. Hence, the students' time spent on playing OMG at home and the type of games that students played at school have significant bearing to their academic performance. As such, delimiting student's usage of internet can be made to address the problem.","internal_url":"https://www.academia.edu/45136050/Mobile_Games_and_Academic_Performance_of_University_Students","translated_internal_url":"","created_at":"2021-02-16T19:47:19.706-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":45408445,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":36270775,"work_id":45136050,"tagging_user_id":45408445,"tagged_user_id":186380835,"co_author_invite_id":7194727,"email":"j***s@evsu.edu.ph","affiliation":"Eastern Visayas State University","display_order":1,"name":"Jessie Richie De los Santos","title":"Mobile Games and Academic Performance of University Students"},{"id":36270776,"work_id":45136050,"tagging_user_id":45408445,"tagged_user_id":181134215,"co_author_invite_id":null,"email":"g***s@evsu.edu.ph","display_order":2,"name":"Giovanni De los Santos","title":"Mobile Games and Academic Performance of University Students"},{"id":36270777,"work_id":45136050,"tagging_user_id":45408445,"tagged_user_id":186795428,"co_author_invite_id":7194728,"email":"v***o@evsu.edu.ph","display_order":3,"name":"Vicente D. 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Methods/Statistical analysis: The study utilized the data mining method using J48 classification algorithm and descriptive-correlation design. The data were gathered from Electronic Database of the University. Failure ratings of the students were removed as significant outliers and came up with 73 data sets. Pearson r and Point Biserial Correlations were used with 0.05 level of significance alpha to test the correlation between continuous measures of independent and dependent variables. Further, descriptive statistics were used to describe the level of performance in mathematics and programming. Findings: The results show that students demonstrated a high performance in their mathematics in the modern world course with a mean rating of 2.16 (SD=0.27), and a low performance in their mathematics enhancement 1 with a mean grade of 2.81 (SD=0.38). Similar result in their programming course with a mean grade of 2.64 (SD=0.39). The mathematics performance of the students is significantly correlated to their performance in programming. The low performance in mathematics enhancement 1 corresponds to the low performance in programming. Moreover, female students performed better in their programming course compared to males. Applications: The results could help the teachers improve the quality of instructions particularly in mathematics and programming that will improve the performance of the students in both subjects. Concerned University administrators should conduct frequent assessments and curriculum revisits to examine possible areas of improvement beneficial to the students.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="604ee7126140b5230f430362119f0168" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":65707753,"asset_id":45136006,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/65707753/download_file?st=MTczMjQxOTU4OSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="45136006"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="45136006"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 45136006; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=45136006]").text(description); $(".js-view-count[data-work-id=45136006]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 45136006; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='45136006']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 45136006, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "604ee7126140b5230f430362119f0168" } } $('.js-work-strip[data-work-id=45136006]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":45136006,"title":"Mining educational data in predicting the influence of Mathematics on the programming performance of University students","translated_title":"","metadata":{"doi":"10.17485/ijst/v13i26.719","abstract":"Objectives: The aim of this study was to investigate the influence of mathematics to the programming performance of Information Technology students and identified the relationships of their performance in programming among genders. Methods/Statistical analysis: The study utilized the data mining method using J48 classification algorithm and descriptive-correlation design. The data were gathered from Electronic Database of the University. Failure ratings of the students were removed as significant outliers and came up with 73 data sets. Pearson r and Point Biserial Correlations were used with 0.05 level of significance alpha to test the correlation between continuous measures of independent and dependent variables. Further, descriptive statistics were used to describe the level of performance in mathematics and programming. Findings: The results show that students demonstrated a high performance in their mathematics in the modern world course with a mean rating of 2.16 (SD=0.27), and a low performance in their mathematics enhancement 1 with a mean grade of 2.81 (SD=0.38). Similar result in their programming course with a mean grade of 2.64 (SD=0.39). The mathematics performance of the students is significantly correlated to their performance in programming. The low performance in mathematics enhancement 1 corresponds to the low performance in programming. Moreover, female students performed better in their programming course compared to males. Applications: The results could help the teachers improve the quality of instructions particularly in mathematics and programming that will improve the performance of the students in both subjects. Concerned University administrators should conduct frequent assessments and curriculum revisits to examine possible areas of improvement beneficial to the students."},"translated_abstract":"Objectives: The aim of this study was to investigate the influence of mathematics to the programming performance of Information Technology students and identified the relationships of their performance in programming among genders. Methods/Statistical analysis: The study utilized the data mining method using J48 classification algorithm and descriptive-correlation design. The data were gathered from Electronic Database of the University. Failure ratings of the students were removed as significant outliers and came up with 73 data sets. Pearson r and Point Biserial Correlations were used with 0.05 level of significance alpha to test the correlation between continuous measures of independent and dependent variables. Further, descriptive statistics were used to describe the level of performance in mathematics and programming. Findings: The results show that students demonstrated a high performance in their mathematics in the modern world course with a mean rating of 2.16 (SD=0.27), and a low performance in their mathematics enhancement 1 with a mean grade of 2.81 (SD=0.38). Similar result in their programming course with a mean grade of 2.64 (SD=0.39). The mathematics performance of the students is significantly correlated to their performance in programming. The low performance in mathematics enhancement 1 corresponds to the low performance in programming. Moreover, female students performed better in their programming course compared to males. Applications: The results could help the teachers improve the quality of instructions particularly in mathematics and programming that will improve the performance of the students in both subjects. Concerned University administrators should conduct frequent assessments and curriculum revisits to examine possible areas of improvement beneficial to the students.","internal_url":"https://www.academia.edu/45136006/Mining_educational_data_in_predicting_the_influence_of_Mathematics_on_the_programming_performance_of_University_students","translated_internal_url":"","created_at":"2021-02-16T19:35:14.891-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":45408445,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":36270749,"work_id":45136006,"tagging_user_id":45408445,"tagged_user_id":66601835,"co_author_invite_id":null,"email":"j***5@gmail.com","affiliation":"Eastern Visayas State University","display_order":1,"name":"Jasten Keneth D . 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="40277066"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/40277066/INSTRUCTIONAL_QUALITY_AND_ACADEMIC_SATISFACTION_OF_UNIVERSITY_STUDENTS"><img alt="Research paper thumbnail of INSTRUCTIONAL QUALITY AND ACADEMIC SATISFACTION OF UNIVERSITY STUDENTS" class="work-thumbnail" src="https://attachments.academia-assets.com/60514581/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/40277066/INSTRUCTIONAL_QUALITY_AND_ACADEMIC_SATISFACTION_OF_UNIVERSITY_STUDENTS">INSTRUCTIONAL QUALITY AND ACADEMIC SATISFACTION OF UNIVERSITY STUDENTS</a></div><div class="wp-workCard_item"><span>European Journal of Education Studies</span><span>, 2019</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This study investigated the correlation between student's perceptions about university instructio...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This study investigated the correlation between student's perceptions about university instructional quality and students' academic satisfaction. Emphasis was put on establishing the importance of instructional quality variables on influencing students' academic satisfaction. The study employed a correlational research design with the use of canonical correlation analysis technique. The study made use of a researcher made survey questionnaire to generate the needed data with prior pilot testing to standardize the survey instrument. A random of 1,303 university students were obtained using stratified random sampling technique. Findings revealed that instructional quality and academic satisfaction variables were correlated. Two canonical functions were computed which indicating both a statistically significant. The canonical loadings indicate that instructional quality was greatly influenced by students' perception on teachers' subject matter knowledge and rapport with students and the results for canonical cross loadings denote a stronger relationship of students' perception on teachers subjects matter knowledge and rapport with students among instructional quality variables to their academic satisfaction. Students' perception on learning motivation and classroom management, on the other hand, yielded to have the least influenced among instructional quality variables to student's academic satisfaction. The results suggest that the university will continue to improve its instructional quality. In conclusion, instructional quality has a direct bearing on the academic satisfaction of University students, the higher the instructional quality the better are students' academic satisfaction. Both attributes go hand in hand. Future similar research may be conducted which should include other instructional quality indicators not considered in this study like learning facilities.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="3c8bcdda702a34a2fedbcb1de8297059" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":60514581,"asset_id":40277066,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/60514581/download_file?st=MTczMjQxOTU4OSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="40277066"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="40277066"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 40277066; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=40277066]").text(description); $(".js-view-count[data-work-id=40277066]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 40277066; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='40277066']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 40277066, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "3c8bcdda702a34a2fedbcb1de8297059" } } $('.js-work-strip[data-work-id=40277066]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":40277066,"title":"INSTRUCTIONAL QUALITY AND ACADEMIC SATISFACTION OF UNIVERSITY STUDENTS","translated_title":"","metadata":{"doi":"10.5281/zenodo.3269406","abstract":"This study investigated the correlation between student's perceptions about university instructional quality and students' academic satisfaction. 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The canonical loadings indicate that instructional quality was greatly influenced by students' perception on teachers' subject matter knowledge and rapport with students and the results for canonical cross loadings denote a stronger relationship of students' perception on teachers subjects matter knowledge and rapport with students among instructional quality variables to their academic satisfaction. Students' perception on learning motivation and classroom management, on the other hand, yielded to have the least influenced among instructional quality variables to student's academic satisfaction. The results suggest that the university will continue to improve its instructional quality. In conclusion, instructional quality has a direct bearing on the academic satisfaction of University students, the higher the instructional quality the better are students' academic satisfaction. Both attributes go hand in hand. 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Findings revealed that instructional quality and academic satisfaction variables were correlated. Two canonical functions were computed which indicating both a statistically significant. The canonical loadings indicate that instructional quality was greatly influenced by students' perception on teachers' subject matter knowledge and rapport with students and the results for canonical cross loadings denote a stronger relationship of students' perception on teachers subjects matter knowledge and rapport with students among instructional quality variables to their academic satisfaction. Students' perception on learning motivation and classroom management, on the other hand, yielded to have the least influenced among instructional quality variables to student's academic satisfaction. The results suggest that the university will continue to improve its instructional quality. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> </div><div class="profile--tab_content_container js-tab-pane tab-pane" data-section-id="9670378" id="papers"><div class="js-work-strip profile--work_container" data-work-id="122038939"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/122038939/Modeling_the_Relationship_among_Digital_Demographic_Characteristics_Digital_Literacy_and_Academic_Performance_of_Mathematics_Major_Students_in_an_online_Learning_Environment"><img alt="Research paper thumbnail of Modeling the Relationship among Digital Demographic Characteristics, Digital Literacy, and Academic Performance of Mathematics Major Students in an online Learning Environment" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/122038939/Modeling_the_Relationship_among_Digital_Demographic_Characteristics_Digital_Literacy_and_Academic_Performance_of_Mathematics_Major_Students_in_an_online_Learning_Environment">Modeling the Relationship among Digital Demographic Characteristics, Digital Literacy, and Academic Performance of Mathematics Major Students in an online Learning Environment</a></div><div class="wp-workCard_item"><span> International Journal of Educational Research and Innovation</span><span>, 2024</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The purpose of the study was to determine the digital demographic characteristics, digital litera...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The purpose of the study was to determine the digital demographic characteristics, digital literacy, and academic performance of students majoring in mathematics in an online learning environment, as well as to model the relationships between these variables. To measure and obtain the necessary data, the study employed a predictive-correlation research design and an adapted research questionnaire. A survey was conducted with a random sample of 322 students from the main and external campuses of the state university of interest. A series of regressions and path analyses were conducted to explore any significant variables that could possibly describe the relationships among the studied variables. Principally, the study found that the levels of information research, retrieval, and management completely and significantly mediated the relationships among the availability of technological devices, use of an electronic learning platform, and students’ academic mathematics performance. In the model validation, the second model demonstrated the<br />consistency of variables such as information research and retrieval and information management literacy in indirectly influencing the relationships between technology device availability and academic performance. A study may be conducted in conjunction with this study, to use the model devised in this study in other locales to further validate the model’s overall consistency.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="122038939"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="122038939"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 122038939; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=122038939]").text(description); $(".js-view-count[data-work-id=122038939]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 122038939; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='122038939']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 122038939, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=122038939]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":122038939,"title":"Modeling the Relationship among Digital Demographic Characteristics, Digital Literacy, and Academic Performance of Mathematics Major Students in an online Learning Environment","translated_title":"","metadata":{"doi":"10.46661/ijeri.9575","abstract":"The purpose of the study was to determine the digital demographic characteristics, digital literacy, and academic performance of students majoring in mathematics in an online learning environment, as well as to model the relationships between these variables. To measure and obtain the necessary data, the study employed a predictive-correlation research design and an adapted research questionnaire. A survey was conducted with a random sample of 322 students from the main and external campuses of the state university of interest. A series of regressions and path analyses were conducted to explore any significant variables that could possibly describe the relationships among the studied variables. Principally, the study found that the levels of information research, retrieval, and management completely and significantly mediated the relationships among the availability of technological devices, use of an electronic learning platform, and students’ academic mathematics performance. In the model validation, the second model demonstrated the\nconsistency of variables such as information research and retrieval and information management literacy in indirectly influencing the relationships between technology device availability and academic performance. A study may be conducted in conjunction with this study, to use the model devised in this study in other locales to further validate the model’s overall consistency.","publication_date":{"day":null,"month":null,"year":2024,"errors":{}},"publication_name":" International Journal of Educational Research and Innovation"},"translated_abstract":"The purpose of the study was to determine the digital demographic characteristics, digital literacy, and academic performance of students majoring in mathematics in an online learning environment, as well as to model the relationships between these variables. To measure and obtain the necessary data, the study employed a predictive-correlation research design and an adapted research questionnaire. A survey was conducted with a random sample of 322 students from the main and external campuses of the state university of interest. A series of regressions and path analyses were conducted to explore any significant variables that could possibly describe the relationships among the studied variables. Principally, the study found that the levels of information research, retrieval, and management completely and significantly mediated the relationships among the availability of technological devices, use of an electronic learning platform, and students’ academic mathematics performance. In the model validation, the second model demonstrated the\nconsistency of variables such as information research and retrieval and information management literacy in indirectly influencing the relationships between technology device availability and academic performance. A study may be conducted in conjunction with this study, to use the model devised in this study in other locales to further validate the model’s overall consistency.","internal_url":"https://www.academia.edu/122038939/Modeling_the_Relationship_among_Digital_Demographic_Characteristics_Digital_Literacy_and_Academic_Performance_of_Mathematics_Major_Students_in_an_online_Learning_Environment","translated_internal_url":"","created_at":"2024-07-14T07:22:09.945-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":45408445,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Modeling_the_Relationship_among_Digital_Demographic_Characteristics_Digital_Literacy_and_Academic_Performance_of_Mathematics_Major_Students_in_an_online_Learning_Environment","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":45408445,"first_name":"Eduardo Edu Jr.","middle_initials":"C","last_name":"Cornillez","page_name":"EduardoEduJrCornillez","domain_name":"evsu","created_at":"2016-03-19T00:46:10.556-07:00","display_name":"Eduardo Edu Jr. C Cornillez","url":"https://evsu.academia.edu/EduardoEduJrCornillez"},"attachments":[],"research_interests":[{"id":2731,"name":"Mathematics Education","url":"https://www.academia.edu/Documents/in/Mathematics_Education"},{"id":409195,"name":"Technology in Mathematics Education","url":"https://www.academia.edu/Documents/in/Technology_in_Mathematics_Education"},{"id":904818,"name":"Using Digital Technology for Learning Mathematics","url":"https://www.academia.edu/Documents/in/Using_Digital_Technology_for_Learning_Mathematics"}],"urls":[{"id":43515859,"url":"https://doi.org/10.46661/ijeri.9575"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="81941966"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/81941966/Factors_influencing_career_preference_of_junior_high_school_students_for_senior_high_school_study"><img alt="Research paper thumbnail of Factors influencing career preference of junior high school students for senior high school study" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/81941966/Factors_influencing_career_preference_of_junior_high_school_students_for_senior_high_school_study">Factors influencing career preference of junior high school students for senior high school study</a></div><div class="wp-workCard_item"><span>TARAN-AWAN Journal of Educational Research and Technology Management</span><span>, 2020</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Choosing a senior high school career or tracks to pursue is one of the most challenging decisions...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Choosing a senior high school career or tracks to pursue is one of the most challenging decisions any junior high school student may undertake. As a response, the objectives of this research were to investigate junior high school student&amp;#39;s career preferences for senior high school studies, as well as the determinants that may influence their career selection. Using a stratified random sample technique, a total of one hundred sixty-six students were chosen at random. To quantify the influence of the indicated career selection determinants on students&amp;#39; career preferences, the researchers used a descriptive and predictive correlational research design. The required data was gathered using a standardized survey questionnaire. Personality, parents, job opportunities, and interest were found to be statistically significant in influencing and predicting students&amp;#39; career preferences, out of the five career selection determinants. In the model, only the peer component (LRT p-value = 0.110) was shown to be statistically insignificant. Among the career selection determinants, the variable interest was found to have the strongest influence on students&amp;#39; course preferences. It can be inferred that diverse career selection factors have statistically significant effects on students&amp;#39; senior high school career choices. Since students&amp;#39; preparation in senior high school is crucial to their subsequent studies in tertiary education, or employment after senior high school, the study gives vital inputs for students, parents, and school officials on how to lead and develop their career plans. A similar study may well be conducted using additional course selection characteristics discussed in the study, or this study could be conducted in a different location to corroborate or refute the findings.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="81941966"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="81941966"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 81941966; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=81941966]").text(description); $(".js-view-count[data-work-id=81941966]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 81941966; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='81941966']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 81941966, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=81941966]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":81941966,"title":"Factors influencing career preference of junior high school students for senior high school study","translated_title":"","metadata":{"abstract":"Choosing a senior high school career or tracks to pursue is one of the most challenging decisions any junior high school student may undertake. As a response, the objectives of this research were to investigate junior high school student\u0026amp;#39;s career preferences for senior high school studies, as well as the determinants that may influence their career selection. Using a stratified random sample technique, a total of one hundred sixty-six students were chosen at random. To quantify the influence of the indicated career selection determinants on students\u0026amp;#39; career preferences, the researchers used a descriptive and predictive correlational research design. The required data was gathered using a standardized survey questionnaire. Personality, parents, job opportunities, and interest were found to be statistically significant in influencing and predicting students\u0026amp;#39; career preferences, out of the five career selection determinants. In the model, only the peer component (LRT p-value = 0.110) was shown to be statistically insignificant. Among the career selection determinants, the variable interest was found to have the strongest influence on students\u0026amp;#39; course preferences. It can be inferred that diverse career selection factors have statistically significant effects on students\u0026amp;#39; senior high school career choices. Since students\u0026amp;#39; preparation in senior high school is crucial to their subsequent studies in tertiary education, or employment after senior high school, the study gives vital inputs for students, parents, and school officials on how to lead and develop their career plans. A similar study may well be conducted using additional course selection characteristics discussed in the study, or this study could be conducted in a different location to corroborate or refute the findings.","publication_date":{"day":null,"month":null,"year":2020,"errors":{}},"publication_name":"TARAN-AWAN Journal of Educational Research and Technology Management"},"translated_abstract":"Choosing a senior high school career or tracks to pursue is one of the most challenging decisions any junior high school student may undertake. As a response, the objectives of this research were to investigate junior high school student\u0026amp;#39;s career preferences for senior high school studies, as well as the determinants that may influence their career selection. Using a stratified random sample technique, a total of one hundred sixty-six students were chosen at random. To quantify the influence of the indicated career selection determinants on students\u0026amp;#39; career preferences, the researchers used a descriptive and predictive correlational research design. The required data was gathered using a standardized survey questionnaire. Personality, parents, job opportunities, and interest were found to be statistically significant in influencing and predicting students\u0026amp;#39; career preferences, out of the five career selection determinants. In the model, only the peer component (LRT p-value = 0.110) was shown to be statistically insignificant. Among the career selection determinants, the variable interest was found to have the strongest influence on students\u0026amp;#39; course preferences. It can be inferred that diverse career selection factors have statistically significant effects on students\u0026amp;#39; senior high school career choices. Since students\u0026amp;#39; preparation in senior high school is crucial to their subsequent studies in tertiary education, or employment after senior high school, the study gives vital inputs for students, parents, and school officials on how to lead and develop their career plans. A similar study may well be conducted using additional course selection characteristics discussed in the study, or this study could be conducted in a different location to corroborate or refute the findings.","internal_url":"https://www.academia.edu/81941966/Factors_influencing_career_preference_of_junior_high_school_students_for_senior_high_school_study","translated_internal_url":"","created_at":"2022-06-20T19:25:37.911-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":45408445,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Factors_influencing_career_preference_of_junior_high_school_students_for_senior_high_school_study","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":45408445,"first_name":"Eduardo Edu Jr.","middle_initials":"C","last_name":"Cornillez","page_name":"EduardoEduJrCornillez","domain_name":"evsu","created_at":"2016-03-19T00:46:10.556-07:00","display_name":"Eduardo Edu Jr. C Cornillez","url":"https://evsu.academia.edu/EduardoEduJrCornillez"},"attachments":[],"research_interests":[{"id":221,"name":"Psychology","url":"https://www.academia.edu/Documents/in/Psychology"},{"id":1601,"name":"Teacher Education","url":"https://www.academia.edu/Documents/in/Teacher_Education"},{"id":22798,"name":"Teacing and Learning in Higher Education","url":"https://www.academia.edu/Documents/in/Teacing_and_Learning_in_Higher_Education"},{"id":823286,"name":"K-12 educational system in the philippines","url":"https://www.academia.edu/Documents/in/K-12_educational_system_in_the_philippines"}],"urls":[{"id":21626977,"url":"https://www.academia.edu/51026190/Factors_influencing_career_preference_of_junior_high_school_students_for_senior_high_school_study"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="81941949"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/81941949/Instructional_Quality_and_Academic_Satisfaction_of_University_Students"><img alt="Research paper thumbnail of Instructional Quality and Academic Satisfaction of University Students" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/81941949/Instructional_Quality_and_Academic_Satisfaction_of_University_Students">Instructional Quality and Academic Satisfaction of University Students</a></div><div class="wp-workCard_item"><span>European Journal of Education Studies</span><span>, 2019</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This study investigated the correlation between student’s perceptions about university instructio...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This study investigated the correlation between student’s perceptions about university instructional quality and students’ academic satisfaction. Emphasis was put on establishing the importance of instructional quality variables on influencing students’ academic satisfaction. The study employed a correlational research design with the use of canonical correlation analysis technique. The study made use of a researcher made survey questionnaire to generate the needed data with prior pilot testing to standardize the survey instrument. A random of 1,303 university students were obtained using stratified random sampling technique. Findings revealed that instructional quality and academic satisfaction variables were correlated. Two canonical functions were computed which indicating both a statistically significant. The canonical loadings indicate that instructional quality was greatly influenced by students’ perception on teachers’ subject matter knowledge and rapport with students and th...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="81941949"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="81941949"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 81941949; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=81941949]").text(description); $(".js-view-count[data-work-id=81941949]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 81941949; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='81941949']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 81941949, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=81941949]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":81941949,"title":"Instructional Quality and Academic Satisfaction of University Students","translated_title":"","metadata":{"abstract":"This study investigated the correlation between student’s perceptions about university instructional quality and students’ academic satisfaction. Emphasis was put on establishing the importance of instructional quality variables on influencing students’ academic satisfaction. The study employed a correlational research design with the use of canonical correlation analysis technique. The study made use of a researcher made survey questionnaire to generate the needed data with prior pilot testing to standardize the survey instrument. A random of 1,303 university students were obtained using stratified random sampling technique. Findings revealed that instructional quality and academic satisfaction variables were correlated. Two canonical functions were computed which indicating both a statistically significant. The canonical loadings indicate that instructional quality was greatly influenced by students’ perception on teachers’ subject matter knowledge and rapport with students and th...","publication_date":{"day":null,"month":null,"year":2019,"errors":{}},"publication_name":"European Journal of Education Studies"},"translated_abstract":"This study investigated the correlation between student’s perceptions about university instructional quality and students’ academic satisfaction. Emphasis was put on establishing the importance of instructional quality variables on influencing students’ academic satisfaction. The study employed a correlational research design with the use of canonical correlation analysis technique. The study made use of a researcher made survey questionnaire to generate the needed data with prior pilot testing to standardize the survey instrument. A random of 1,303 university students were obtained using stratified random sampling technique. Findings revealed that instructional quality and academic satisfaction variables were correlated. Two canonical functions were computed which indicating both a statistically significant. The canonical loadings indicate that instructional quality was greatly influenced by students’ perception on teachers’ subject matter knowledge and rapport with students and th...","internal_url":"https://www.academia.edu/81941949/Instructional_Quality_and_Academic_Satisfaction_of_University_Students","translated_internal_url":"","created_at":"2022-06-20T19:25:13.069-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":45408445,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Instructional_Quality_and_Academic_Satisfaction_of_University_Students","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":45408445,"first_name":"Eduardo Edu Jr.","middle_initials":"C","last_name":"Cornillez","page_name":"EduardoEduJrCornillez","domain_name":"evsu","created_at":"2016-03-19T00:46:10.556-07:00","display_name":"Eduardo Edu Jr. C Cornillez","url":"https://evsu.academia.edu/EduardoEduJrCornillez"},"attachments":[],"research_interests":[{"id":48,"name":"Engineering","url":"https://www.academia.edu/Documents/in/Engineering"},{"id":221,"name":"Psychology","url":"https://www.academia.edu/Documents/in/Psychology"},{"id":1003,"name":"Educational Technology","url":"https://www.academia.edu/Documents/in/Educational_Technology"},{"id":2731,"name":"Mathematics Education","url":"https://www.academia.edu/Documents/in/Mathematics_Education"},{"id":4840,"name":"Statistics Education","url":"https://www.academia.edu/Documents/in/Statistics_Education"},{"id":55840,"name":"Business Management","url":"https://www.academia.edu/Documents/in/Business_Management"},{"id":265402,"name":"Applied Mathematics and Statistics","url":"https://www.academia.edu/Documents/in/Applied_Mathematics_and_Statistics"},{"id":3372152,"name":"Educational Management and Practices","url":"https://www.academia.edu/Documents/in/Educational_Management_and_Practices"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="76281225"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/76281225/Tracer_Study_of_Teacher_Education_Graduates_of_the_Eastern_Visayas_State_University_Tanauan_Campus_Philippines"><img alt="Research paper thumbnail of Tracer Study of Teacher Education Graduates of the Eastern Visayas State University-Tanauan Campus, Philippines" class="work-thumbnail" src="https://attachments.academia-assets.com/84036429/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/76281225/Tracer_Study_of_Teacher_Education_Graduates_of_the_Eastern_Visayas_State_University_Tanauan_Campus_Philippines">Tracer Study of Teacher Education Graduates of the Eastern Visayas State University-Tanauan Campus, Philippines</a></div><div class="wp-workCard_item"><span>European Journal of Education and Pedagogy</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The study&#39;s purpose was to examine the employment characteristics of teacher education gradua...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The study&#39;s purpose was to examine the employment characteristics of teacher education graduates from the classes of 2013 to 2017. Specifically, to explore a graduate&#39;s perception of the extent of the relevance of their chosen program curriculum learning areas to employment, and the extent of the use of competencies and values they learned at university. A survey study design that is descriptive was utilized in the study with a random sample of 179 graduates identified as the primary study respondents. Based on the results, the majority of respondents were employed with permanent or regular employment status and worked locally within the region. Graduates&#39; initial and current employment levels were professional, technical, or supervisory, and they were hired within 1 to 6 months of graduation. Salaries and benefits were the major factors in changing the first job careers of graduates. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="51026190"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/51026190/Factors_influencing_career_preference_of_junior_high_school_students_for_senior_high_school_study"><img alt="Research paper thumbnail of Factors influencing career preference of junior high school students for senior high school study" class="work-thumbnail" src="https://attachments.academia-assets.com/68897183/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/51026190/Factors_influencing_career_preference_of_junior_high_school_students_for_senior_high_school_study">Factors influencing career preference of junior high school students for senior high school study</a></div><div class="wp-workCard_item"><span>TARAN-AWAN Journal of Educational Research and Technology Management</span><span>, 2020</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Choosing a senior high school career or tracks to pursue is one of the most challenging decision...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Choosing a  senior high school career or tracks to pursue is one of the most challenging decisions any junior high school student may undertake. As a response, the objectives of this research were to investigate junior high school student's career preferences for senior high school studies, as well as the determinants that may influence their career selection. Using a stratified random sample technique, a total of one hundred sixty-six students were chosen at random.  To quantify the influence of the indicated career selection determinants on students' career preferences, the researchers used a descriptive and predictive correlational research design. The required data was gathered using a standardized survey questionnaire. Personality, parents, job opportunities, and interest were found to be statistically significant in influencing and predicting students' career preferences, out of the five career selection determinants. In the model, only the peer component (LRT p-value = 0.110) was shown to be statistically insignificant. Among the career selection determinants, the variable interest was found to have the strongest influence on students' course preferences. It can be inferred that diverse career selection factors have statistically significant effects on students' senior high school career choices. Since students'  preparation in senior high school is crucial to their subsequent studies in tertiary education, or employment after senior high school, the study gives vital inputs for students, parents, and school officials on how to lead and develop their career plans. A similar study may well be conducted using additional course selection characteristics discussed in the study, or this study could be conducted in a different location to corroborate or refute the findings.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="06d7d730a946f13459ce4e017a86b7b8" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":68897183,"asset_id":51026190,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/68897183/download_file?st=MTczMjQxOTU4OSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="51026190"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="51026190"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 51026190; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=51026190]").text(description); $(".js-view-count[data-work-id=51026190]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 51026190; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='51026190']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 51026190, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "06d7d730a946f13459ce4e017a86b7b8" } } $('.js-work-strip[data-work-id=51026190]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":51026190,"title":"Factors influencing career preference of junior high school students for senior high school study","translated_title":"","metadata":{"abstract":"Choosing a senior high school career or tracks to pursue is one of the most challenging decisions any junior high school student may undertake. As a response, the objectives of this research were to investigate junior high school student's career preferences for senior high school studies, as well as the determinants that may influence their career selection. Using a stratified random sample technique, a total of one hundred sixty-six students were chosen at random. To quantify the influence of the indicated career selection determinants on students' career preferences, the researchers used a descriptive and predictive correlational research design. The required data was gathered using a standardized survey questionnaire. Personality, parents, job opportunities, and interest were found to be statistically significant in influencing and predicting students' career preferences, out of the five career selection determinants. In the model, only the peer component (LRT p-value = 0.110) was shown to be statistically insignificant. Among the career selection determinants, the variable interest was found to have the strongest influence on students' course preferences. It can be inferred that diverse career selection factors have statistically significant effects on students' senior high school career choices. Since students' preparation in senior high school is crucial to their subsequent studies in tertiary education, or employment after senior high school, the study gives vital inputs for students, parents, and school officials on how to lead and develop their career plans. 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To quantify the influence of the indicated career selection determinants on students' career preferences, the researchers used a descriptive and predictive correlational research design. The required data was gathered using a standardized survey questionnaire. Personality, parents, job opportunities, and interest were found to be statistically significant in influencing and predicting students' career preferences, out of the five career selection determinants. In the model, only the peer component (LRT p-value = 0.110) was shown to be statistically insignificant. Among the career selection determinants, the variable interest was found to have the strongest influence on students' course preferences. It can be inferred that diverse career selection factors have statistically significant effects on students' senior high school career choices. Since students' preparation in senior high school is crucial to their subsequent studies in tertiary education, or employment after senior high school, the study gives vital inputs for students, parents, and school officials on how to lead and develop their career plans. A similar study may well be conducted using additional course selection characteristics discussed in the study, or this study could be conducted in a different location to corroborate or refute the findings.","internal_url":"https://www.academia.edu/51026190/Factors_influencing_career_preference_of_junior_high_school_students_for_senior_high_school_study","translated_internal_url":"","created_at":"2021-08-27T00:15:56.859-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":45408445,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":36814809,"work_id":51026190,"tagging_user_id":45408445,"tagged_user_id":null,"co_author_invite_id":7290458,"email":"b***n@gmail.com","display_order":1,"name":"Brenda Dublin","title":"Factors influencing career preference of junior high school students for senior high school study"},{"id":36814810,"work_id":51026190,"tagging_user_id":45408445,"tagged_user_id":null,"co_author_invite_id":7290459,"email":"a***a@gmail.com","display_order":2,"name":"Antonette Logrosa","title":"Factors influencing career preference of junior high school students for senior high school study"},{"id":36814811,"work_id":51026190,"tagging_user_id":45408445,"tagged_user_id":45408445,"co_author_invite_id":7290460,"email":"e***z@gmail.com","affiliation":"Eastern Visayas State University","display_order":3,"name":"Eduardo Edu Jr. C Cornillez","title":"Factors influencing career preference of junior high school students for senior high school study"},{"id":36814812,"work_id":51026190,"tagging_user_id":45408445,"tagged_user_id":102522135,"co_author_invite_id":null,"email":"s***y@gmail.com","display_order":4,"name":"rosemary sosing","title":"Factors influencing career preference of junior high school students for senior high school study"}],"downloadable_attachments":[{"id":68897183,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/68897183/thumbnails/1.jpg","file_name":"210_Article_Text_323_1_10_20210724_1_.pdf","download_url":"https://www.academia.edu/attachments/68897183/download_file?st=MTczMjQxOTU4OSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Factors_influencing_career_preference_of.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/68897183/210_Article_Text_323_1_10_20210724_1_-libre.pdf?1630050918=\u0026response-content-disposition=attachment%3B+filename%3DFactors_influencing_career_preference_of.pdf\u0026Expires=1732414835\u0026Signature=YdMrTtqd1x~Htve7xbmycPvCQ0mNrhDoXyKKckTwrbsHCjgTXNvcdefgPg3vwOoZTcSPOSuEPlFuZYHhjZrXDp-m2G7UVwHipf2kPVG366Stl2u3~4pwe5vTzc5JX58mZlbdq8~Lqm6Qe2jBCfWDV6VHOUe3UXtTq71EIQhfWQjeHzsvHnDZYtaPVZcJqjgwuTVsANY3BRTuOfh8qJnWR9um5G1T96SemYvrSYq8vl~-iuYPwqcGr9Q6xV25D7jI1I6Ntcm9RZfGG6hIPqNwgWpNiIvUh5DSdoZwWn4r13-Qr7qIqjFXRZkBiIJZV-JiPyAxb668LSoeHwXXsGdEtg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Factors_influencing_career_preference_of_junior_high_school_students_for_senior_high_school_study","translated_slug":"","page_count":10,"language":"en","content_type":"Work","owner":{"id":45408445,"first_name":"Eduardo Edu Jr.","middle_initials":"C","last_name":"Cornillez","page_name":"EduardoEduJrCornillez","domain_name":"evsu","created_at":"2016-03-19T00:46:10.556-07:00","display_name":"Eduardo Edu Jr. C Cornillez","url":"https://evsu.academia.edu/EduardoEduJrCornillez"},"attachments":[{"id":68897183,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/68897183/thumbnails/1.jpg","file_name":"210_Article_Text_323_1_10_20210724_1_.pdf","download_url":"https://www.academia.edu/attachments/68897183/download_file?st=MTczMjQxOTU4OSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Factors_influencing_career_preference_of.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/68897183/210_Article_Text_323_1_10_20210724_1_-libre.pdf?1630050918=\u0026response-content-disposition=attachment%3B+filename%3DFactors_influencing_career_preference_of.pdf\u0026Expires=1732414835\u0026Signature=YdMrTtqd1x~Htve7xbmycPvCQ0mNrhDoXyKKckTwrbsHCjgTXNvcdefgPg3vwOoZTcSPOSuEPlFuZYHhjZrXDp-m2G7UVwHipf2kPVG366Stl2u3~4pwe5vTzc5JX58mZlbdq8~Lqm6Qe2jBCfWDV6VHOUe3UXtTq71EIQhfWQjeHzsvHnDZYtaPVZcJqjgwuTVsANY3BRTuOfh8qJnWR9um5G1T96SemYvrSYq8vl~-iuYPwqcGr9Q6xV25D7jI1I6Ntcm9RZfGG6hIPqNwgWpNiIvUh5DSdoZwWn4r13-Qr7qIqjFXRZkBiIJZV-JiPyAxb668LSoeHwXXsGdEtg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":1601,"name":"Teacher Education","url":"https://www.academia.edu/Documents/in/Teacher_Education"},{"id":22798,"name":"Teacing and Learning in Higher Education","url":"https://www.academia.edu/Documents/in/Teacing_and_Learning_in_Higher_Education"},{"id":469121,"name":"K12 Educational System in the Philippines","url":"https://www.academia.edu/Documents/in/K12_Educational_System_in_the_Philippines"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="50345054"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/50345054/Tracer_Study_of_Teacher_Education_Graduates_of_the_Eastern_Visayas_State_University_Tanauan_Campus_Philippines"><img alt="Research paper thumbnail of Tracer Study of Teacher Education Graduates of the Eastern Visayas State University-Tanauan Campus, Philippines" class="work-thumbnail" src="https://attachments.academia-assets.com/68367258/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/50345054/Tracer_Study_of_Teacher_Education_Graduates_of_the_Eastern_Visayas_State_University_Tanauan_Campus_Philippines">Tracer Study of Teacher Education Graduates of the Eastern Visayas State University-Tanauan Campus, Philippines</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://evsu.academia.edu/EduardoEduJrCornillez">Eduardo Edu Jr. C Cornillez</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://evsu.academia.edu/RamelitoPaler">Ramelito Paler</a></span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The study's purpose was to examine the employment characteristics of teacher education graduates ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The study's purpose was to examine the employment characteristics of teacher education graduates from the classes of 2013 to 2017. Specifically, to explore a graduate's perception of the extent of the relevance of their chosen program curriculum learning areas to employment, and the extent of the use of competencies and values they learned at university. A survey study design that is descriptive was utilized in the study with a random sample of 179 graduates identified as the primary study respondents. Based on the results, the majority of respondents were employed with permanent or regular employment status and worked locally within the region. Graduates' initial and current employment levels were professional, technical, or supervisory, and they were hired within 1 to 6 months of graduation. Salaries and benefits were the major factors in changing the first job careers of graduates. Moreover, graduates perceived the extent of the curriculum offered as relevant, and the general education and teaching practicum learning areas were found to be the most relevant areas that contribute the most to their employment. Communication, human relations, and self-assurance skills are the most useful workplace competencies and values. Students' university preparation has greatly aided their employment. Similar research may be undertaken in the future, which should include other school-related and employability variables not covered in the study.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="3234632f5b93c2a28b3bd985f184fd53" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":68367258,"asset_id":50345054,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/68367258/download_file?st=MTczMjQxOTU4OSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="50345054"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="50345054"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 50345054; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=50345054]").text(description); $(".js-view-count[data-work-id=50345054]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 50345054; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='50345054']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 50345054, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "3234632f5b93c2a28b3bd985f184fd53" } } $('.js-work-strip[data-work-id=50345054]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":50345054,"title":"Tracer Study of Teacher Education Graduates of the Eastern Visayas State University-Tanauan Campus, Philippines","translated_title":"","metadata":{"doi":"10.24018/ejedu.2021.2.3.143","abstract":"The study's purpose was to examine the employment characteristics of teacher education graduates from the classes of 2013 to 2017. Specifically, to explore a graduate's perception of the extent of the relevance of their chosen program curriculum learning areas to employment, and the extent of the use of competencies and values they learned at university. A survey study design that is descriptive was utilized in the study with a random sample of 179 graduates identified as the primary study respondents. Based on the results, the majority of respondents were employed with permanent or regular employment status and worked locally within the region. Graduates' initial and current employment levels were professional, technical, or supervisory, and they were hired within 1 to 6 months of graduation. Salaries and benefits were the major factors in changing the first job careers of graduates. Moreover, graduates perceived the extent of the curriculum offered as relevant, and the general education and teaching practicum learning areas were found to be the most relevant areas that contribute the most to their employment. Communication, human relations, and self-assurance skills are the most useful workplace competencies and values. Students' university preparation has greatly aided their employment. Similar research may be undertaken in the future, which should include other school-related and employability variables not covered in the study.","publication_date":{"day":null,"month":null,"year":2021,"errors":{}}},"translated_abstract":"The study's purpose was to examine the employment characteristics of teacher education graduates from the classes of 2013 to 2017. Specifically, to explore a graduate's perception of the extent of the relevance of their chosen program curriculum learning areas to employment, and the extent of the use of competencies and values they learned at university. A survey study design that is descriptive was utilized in the study with a random sample of 179 graduates identified as the primary study respondents. Based on the results, the majority of respondents were employed with permanent or regular employment status and worked locally within the region. Graduates' initial and current employment levels were professional, technical, or supervisory, and they were hired within 1 to 6 months of graduation. Salaries and benefits were the major factors in changing the first job careers of graduates. Moreover, graduates perceived the extent of the curriculum offered as relevant, and the general education and teaching practicum learning areas were found to be the most relevant areas that contribute the most to their employment. Communication, human relations, and self-assurance skills are the most useful workplace competencies and values. Students' university preparation has greatly aided their employment. 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Methods/Statistical analysis: The study utilized the data mining method using J48 classification algorithm and descriptive-correlation design. The data were gathered from Electronic Database of the University. Failure ratings of the students were removed as significant outliers and came up with 73 data sets. Pearson r and Point Biserial Correlations were used with 0.05 level of significance alpha to test the correlation between continuous measures of independent and dependent variables. Further, descriptive statistics were used to describe the level of performance in mathematics and programming. Findings: The results show that students demonstrated a high performance in their mathematics in the modern world course with a mean rating of 2.16 (SD=0.27), and a low performance in their mathematics enhancement 1 with a mean grade of 2.81 (SD=0.38). Similar result in their programming course with a mean grade of 2.64 (SD=0.39). 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class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/46962554/Mobile_Games_and_Academic_Performance_of_University_Students"><img alt="Research paper thumbnail of Mobile Games and Academic Performance of University Students" class="work-thumbnail" src="https://attachments.academia-assets.com/66310539/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/46962554/Mobile_Games_and_Academic_Performance_of_University_Students">Mobile Games and Academic Performance of University Students</a></div><div class="wp-workCard_item"><span>International Journal of Innovative Technology and Exploring Engineering</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The increasing number of students who are hooked on playing online mobile games (OMG) is alarming...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The increasing number of students who are hooked on playing online mobile games (OMG) is alarming. As such, this study was realized to address the problem. This study assessed the gaming profile towards OMG and its relation to the academic performance of the engineering students of Eastern Visayas State University Tanauan Campus (EVSUTC). Specifically, the study investigated the correlation between student’s number of hours spent on playing OMG (at school and home), commonly played OMG (at school and home), reasons for playing OMG and attitudes on playing OMG with academic performance utilizing Eta and Pearson r correlation analyses. A random sample of 134 student respondents were selected through purposive sampling of those who are playing OMG using their mobile phones. Descriptive correlational research design was utilized and a validated survey instrument was employed to gather the needed information. The findings revealed that majority of the students played mobile legends and s...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="16d4b7fa63de8ed74a7087b2d09c63cf" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":66310539,"asset_id":46962554,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/66310539/download_file?st=MTczMjQxOTU4OSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="46962554"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="46962554"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 46962554; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=46962554]").text(description); $(".js-view-count[data-work-id=46962554]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 46962554; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='46962554']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 46962554, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "16d4b7fa63de8ed74a7087b2d09c63cf" } } $('.js-work-strip[data-work-id=46962554]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":46962554,"title":"Mobile Games and Academic Performance of University Students","translated_title":"","metadata":{"abstract":"The increasing number of students who are hooked on playing online mobile games (OMG) is alarming. As such, this study was realized to address the problem. This study assessed the gaming profile towards OMG and its relation to the academic performance of the engineering students of Eastern Visayas State University Tanauan Campus (EVSUTC). Specifically, the study investigated the correlation between student’s number of hours spent on playing OMG (at school and home), commonly played OMG (at school and home), reasons for playing OMG and attitudes on playing OMG with academic performance utilizing Eta and Pearson r correlation analyses. A random sample of 134 student respondents were selected through purposive sampling of those who are playing OMG using their mobile phones. Descriptive correlational research design was utilized and a validated survey instrument was employed to gather the needed information. The findings revealed that majority of the students played mobile legends and s...","publisher":"Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP","publication_name":"International Journal of Innovative Technology and Exploring Engineering"},"translated_abstract":"The increasing number of students who are hooked on playing online mobile games (OMG) is alarming. As such, this study was realized to address the problem. This study assessed the gaming profile towards OMG and its relation to the academic performance of the engineering students of Eastern Visayas State University Tanauan Campus (EVSUTC). Specifically, the study investigated the correlation between student’s number of hours spent on playing OMG (at school and home), commonly played OMG (at school and home), reasons for playing OMG and attitudes on playing OMG with academic performance utilizing Eta and Pearson r correlation analyses. A random sample of 134 student respondents were selected through purposive sampling of those who are playing OMG using their mobile phones. Descriptive correlational research design was utilized and a validated survey instrument was employed to gather the needed information. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="45136050"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/45136050/Mobile_Games_and_Academic_Performance_of_University_Students"><img alt="Research paper thumbnail of Mobile Games and Academic Performance of University Students" class="work-thumbnail" src="https://attachments.academia-assets.com/65707805/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/45136050/Mobile_Games_and_Academic_Performance_of_University_Students">Mobile Games and Academic Performance of University Students</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://evsu.academia.edu/EduardoEduJrCornillez">Eduardo Edu Jr. C Cornillez</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://evsu.academia.edu/JessieRichieDelosSantos">Jessie Richie De los Santos</a>, and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/VicenteDCarilloJr">Vicente D. Carillo, Jr</a></span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated"> Abstract: The increasing number of students who are hooked on playing online mobile games (OMG)...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden"> Abstract: The increasing number of students who are hooked on playing online mobile games (OMG) is alarming. As such, this study was realized to address the problem. This study assessed the gaming profile towards OMG and its relation to the academic performance of the engineering students of Eastern Visayas State University Tanauan Campus (EVSUTC). Specifically, the study investigated the correlation between student's number of hours spent on playing OMG (at school and home), commonly played OMG (at school and home), reasons for playing OMG and attitudes on playing OMG with academic performance utilizing Eta and Pearson r correlation analyses. A random sample of 134 student respondents were selected through purposive sampling of those who are playing OMG using their mobile phones. Descriptive correlational research design was utilized and a validated survey instrument was employed to gather the needed information. The findings revealed that majority of the students played mobile legends and spent mostly 2 hours playing OMG for a reason of boredom. The overall attitudes of the students on playing OMG were interpreted as Less Favorable (M=2.58, SD=1.13). Out of the independent variables being set in the study, the number of hours spent on playing OMG at home (r=-0.188, p=0.039) and commonly played OMG at school (r=0.203, p=0.045) were found significantly correlated with student's academic performance. Hence, the students' time spent on playing OMG at home and the type of games that students played at school have significant bearing to their academic performance. As such, delimiting student's usage of internet can be made to address the problem.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="7567742c7ea179d9f2574be2eb56086c" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":65707805,"asset_id":45136050,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/65707805/download_file?st=MTczMjQxOTU4OSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="45136050"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="45136050"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 45136050; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=45136050]").text(description); $(".js-view-count[data-work-id=45136050]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 45136050; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='45136050']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 45136050, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "7567742c7ea179d9f2574be2eb56086c" } } $('.js-work-strip[data-work-id=45136050]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":45136050,"title":"Mobile Games and Academic Performance of University Students","translated_title":"","metadata":{"doi":"10.35940/ijitee.a4788.029420","abstract":" Abstract: The increasing number of students who are hooked on playing online mobile games (OMG) is alarming. As such, this study was realized to address the problem. This study assessed the gaming profile towards OMG and its relation to the academic performance of the engineering students of Eastern Visayas State University Tanauan Campus (EVSUTC). Specifically, the study investigated the correlation between student's number of hours spent on playing OMG (at school and home), commonly played OMG (at school and home), reasons for playing OMG and attitudes on playing OMG with academic performance utilizing Eta and Pearson r correlation analyses. A random sample of 134 student respondents were selected through purposive sampling of those who are playing OMG using their mobile phones. Descriptive correlational research design was utilized and a validated survey instrument was employed to gather the needed information. The findings revealed that majority of the students played mobile legends and spent mostly 2 hours playing OMG for a reason of boredom. The overall attitudes of the students on playing OMG were interpreted as Less Favorable (M=2.58, SD=1.13). Out of the independent variables being set in the study, the number of hours spent on playing OMG at home (r=-0.188, p=0.039) and commonly played OMG at school (r=0.203, p=0.045) were found significantly correlated with student's academic performance. Hence, the students' time spent on playing OMG at home and the type of games that students played at school have significant bearing to their academic performance. As such, delimiting student's usage of internet can be made to address the problem."},"translated_abstract":" Abstract: The increasing number of students who are hooked on playing online mobile games (OMG) is alarming. As such, this study was realized to address the problem. This study assessed the gaming profile towards OMG and its relation to the academic performance of the engineering students of Eastern Visayas State University Tanauan Campus (EVSUTC). Specifically, the study investigated the correlation between student's number of hours spent on playing OMG (at school and home), commonly played OMG (at school and home), reasons for playing OMG and attitudes on playing OMG with academic performance utilizing Eta and Pearson r correlation analyses. A random sample of 134 student respondents were selected through purposive sampling of those who are playing OMG using their mobile phones. Descriptive correlational research design was utilized and a validated survey instrument was employed to gather the needed information. The findings revealed that majority of the students played mobile legends and spent mostly 2 hours playing OMG for a reason of boredom. The overall attitudes of the students on playing OMG were interpreted as Less Favorable (M=2.58, SD=1.13). Out of the independent variables being set in the study, the number of hours spent on playing OMG at home (r=-0.188, p=0.039) and commonly played OMG at school (r=0.203, p=0.045) were found significantly correlated with student's academic performance. Hence, the students' time spent on playing OMG at home and the type of games that students played at school have significant bearing to their academic performance. As such, delimiting student's usage of internet can be made to address the problem.","internal_url":"https://www.academia.edu/45136050/Mobile_Games_and_Academic_Performance_of_University_Students","translated_internal_url":"","created_at":"2021-02-16T19:47:19.706-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":45408445,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":36270775,"work_id":45136050,"tagging_user_id":45408445,"tagged_user_id":186380835,"co_author_invite_id":7194727,"email":"j***s@evsu.edu.ph","affiliation":"Eastern Visayas State University","display_order":1,"name":"Jessie Richie De los Santos","title":"Mobile Games and Academic Performance of University Students"},{"id":36270776,"work_id":45136050,"tagging_user_id":45408445,"tagged_user_id":181134215,"co_author_invite_id":null,"email":"g***s@evsu.edu.ph","display_order":2,"name":"Giovanni De los Santos","title":"Mobile Games and Academic Performance of University Students"},{"id":36270777,"work_id":45136050,"tagging_user_id":45408445,"tagged_user_id":186795428,"co_author_invite_id":7194728,"email":"v***o@evsu.edu.ph","display_order":3,"name":"Vicente D. 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Methods/Statistical analysis: The study utilized the data mining method using J48 classification algorithm and descriptive-correlation design. The data were gathered from Electronic Database of the University. Failure ratings of the students were removed as significant outliers and came up with 73 data sets. Pearson r and Point Biserial Correlations were used with 0.05 level of significance alpha to test the correlation between continuous measures of independent and dependent variables. Further, descriptive statistics were used to describe the level of performance in mathematics and programming. Findings: The results show that students demonstrated a high performance in their mathematics in the modern world course with a mean rating of 2.16 (SD=0.27), and a low performance in their mathematics enhancement 1 with a mean grade of 2.81 (SD=0.38). Similar result in their programming course with a mean grade of 2.64 (SD=0.39). The mathematics performance of the students is significantly correlated to their performance in programming. The low performance in mathematics enhancement 1 corresponds to the low performance in programming. Moreover, female students performed better in their programming course compared to males. Applications: The results could help the teachers improve the quality of instructions particularly in mathematics and programming that will improve the performance of the students in both subjects. Concerned University administrators should conduct frequent assessments and curriculum revisits to examine possible areas of improvement beneficial to the students.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="604ee7126140b5230f430362119f0168" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":65707753,"asset_id":45136006,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/65707753/download_file?st=MTczMjQxOTU4OSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="45136006"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="45136006"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 45136006; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=45136006]").text(description); $(".js-view-count[data-work-id=45136006]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 45136006; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='45136006']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 45136006, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "604ee7126140b5230f430362119f0168" } } $('.js-work-strip[data-work-id=45136006]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":45136006,"title":"Mining educational data in predicting the influence of Mathematics on the programming performance of University students","translated_title":"","metadata":{"doi":"10.17485/ijst/v13i26.719","abstract":"Objectives: The aim of this study was to investigate the influence of mathematics to the programming performance of Information Technology students and identified the relationships of their performance in programming among genders. Methods/Statistical analysis: The study utilized the data mining method using J48 classification algorithm and descriptive-correlation design. The data were gathered from Electronic Database of the University. Failure ratings of the students were removed as significant outliers and came up with 73 data sets. Pearson r and Point Biserial Correlations were used with 0.05 level of significance alpha to test the correlation between continuous measures of independent and dependent variables. Further, descriptive statistics were used to describe the level of performance in mathematics and programming. Findings: The results show that students demonstrated a high performance in their mathematics in the modern world course with a mean rating of 2.16 (SD=0.27), and a low performance in their mathematics enhancement 1 with a mean grade of 2.81 (SD=0.38). Similar result in their programming course with a mean grade of 2.64 (SD=0.39). The mathematics performance of the students is significantly correlated to their performance in programming. The low performance in mathematics enhancement 1 corresponds to the low performance in programming. Moreover, female students performed better in their programming course compared to males. Applications: The results could help the teachers improve the quality of instructions particularly in mathematics and programming that will improve the performance of the students in both subjects. Concerned University administrators should conduct frequent assessments and curriculum revisits to examine possible areas of improvement beneficial to the students."},"translated_abstract":"Objectives: The aim of this study was to investigate the influence of mathematics to the programming performance of Information Technology students and identified the relationships of their performance in programming among genders. Methods/Statistical analysis: The study utilized the data mining method using J48 classification algorithm and descriptive-correlation design. The data were gathered from Electronic Database of the University. Failure ratings of the students were removed as significant outliers and came up with 73 data sets. Pearson r and Point Biserial Correlations were used with 0.05 level of significance alpha to test the correlation between continuous measures of independent and dependent variables. Further, descriptive statistics were used to describe the level of performance in mathematics and programming. Findings: The results show that students demonstrated a high performance in their mathematics in the modern world course with a mean rating of 2.16 (SD=0.27), and a low performance in their mathematics enhancement 1 with a mean grade of 2.81 (SD=0.38). Similar result in their programming course with a mean grade of 2.64 (SD=0.39). The mathematics performance of the students is significantly correlated to their performance in programming. The low performance in mathematics enhancement 1 corresponds to the low performance in programming. Moreover, female students performed better in their programming course compared to males. Applications: The results could help the teachers improve the quality of instructions particularly in mathematics and programming that will improve the performance of the students in both subjects. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="40277066"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/40277066/INSTRUCTIONAL_QUALITY_AND_ACADEMIC_SATISFACTION_OF_UNIVERSITY_STUDENTS"><img alt="Research paper thumbnail of INSTRUCTIONAL QUALITY AND ACADEMIC SATISFACTION OF UNIVERSITY STUDENTS" class="work-thumbnail" src="https://attachments.academia-assets.com/60514581/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/40277066/INSTRUCTIONAL_QUALITY_AND_ACADEMIC_SATISFACTION_OF_UNIVERSITY_STUDENTS">INSTRUCTIONAL QUALITY AND ACADEMIC SATISFACTION OF UNIVERSITY STUDENTS</a></div><div class="wp-workCard_item"><span>European Journal of Education Studies</span><span>, 2019</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This study investigated the correlation between student's perceptions about university instructio...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This study investigated the correlation between student's perceptions about university instructional quality and students' academic satisfaction. Emphasis was put on establishing the importance of instructional quality variables on influencing students' academic satisfaction. The study employed a correlational research design with the use of canonical correlation analysis technique. The study made use of a researcher made survey questionnaire to generate the needed data with prior pilot testing to standardize the survey instrument. A random of 1,303 university students were obtained using stratified random sampling technique. Findings revealed that instructional quality and academic satisfaction variables were correlated. Two canonical functions were computed which indicating both a statistically significant. The canonical loadings indicate that instructional quality was greatly influenced by students' perception on teachers' subject matter knowledge and rapport with students and the results for canonical cross loadings denote a stronger relationship of students' perception on teachers subjects matter knowledge and rapport with students among instructional quality variables to their academic satisfaction. Students' perception on learning motivation and classroom management, on the other hand, yielded to have the least influenced among instructional quality variables to student's academic satisfaction. The results suggest that the university will continue to improve its instructional quality. In conclusion, instructional quality has a direct bearing on the academic satisfaction of University students, the higher the instructional quality the better are students' academic satisfaction. Both attributes go hand in hand. Future similar research may be conducted which should include other instructional quality indicators not considered in this study like learning facilities.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="3c8bcdda702a34a2fedbcb1de8297059" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":60514581,"asset_id":40277066,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/60514581/download_file?st=MTczMjQxOTU4OSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="40277066"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="40277066"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 40277066; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=40277066]").text(description); $(".js-view-count[data-work-id=40277066]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 40277066; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='40277066']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 40277066, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "3c8bcdda702a34a2fedbcb1de8297059" } } $('.js-work-strip[data-work-id=40277066]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":40277066,"title":"INSTRUCTIONAL QUALITY AND ACADEMIC SATISFACTION OF UNIVERSITY STUDENTS","translated_title":"","metadata":{"doi":"10.5281/zenodo.3269406","abstract":"This study investigated the correlation between student's perceptions about university instructional quality and students' academic satisfaction. 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