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Search results for: dishonesty

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class="col-md-9 mx-auto"> <form method="get" action="https://publications.waset.org/abstracts/search"> <div id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="dishonesty"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 7</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: dishonesty</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7</span> Intention Mediating Goal and Attitude Relationship with Academic Dishonesty among Undergraduate University Students, Ghana</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yayra%20Dzakadzie">Yayra Dzakadzie</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The descriptive cross-sectional survey study assessed dishonest academic intention, mediating academic goals, and attitude relationship with academic dishonesty among university undergraduate students in Ghana. The target population for this study was all the final-year undergraduate students enrolled full-time in Ghanaian public universities. One thousand two hundred (1,200) undergraduate students participated in the study. Multistage sampling was used to select the sample for the study. A structured questionnaire was used to collect the needed data to test hypotheses. Structural Equation Modelling (PLS-SEM) was used for the analyses. The results revealed that academic goals and attitudes had direct and indirect effects on academic dishonesty behaviour. Also, academic intention was statistically a significant mediator in the relationship that academic goals and attitude have with academic dishonesty. It was concluded that when academic goals are high, it compels individual students to try new strategies, and when academic goals are low, the students would like to “cut corners” to meet expectations. It was also concluded that when the attitude towards academic dishonesty is low, students are more unlikely to form an intention to be academically dishonest. It is recommended that lecturers should make their students aware of the goals that need to be attained in their courses and provide them with feedback on goal progress. Students should set their proximal goals and enhance their commitment so that they avoid putting things off. Enforcement of rules and regulations against academic dishonesty must be fully adhered to since students’ positive attitudes can result in high intention, which would lead to academic dishonesty behaviour. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=intention" title="intention">intention</a>, <a href="https://publications.waset.org/abstracts/search?q=academic%20goals" title=" academic goals"> academic goals</a>, <a href="https://publications.waset.org/abstracts/search?q=attitude" title=" attitude"> attitude</a>, <a href="https://publications.waset.org/abstracts/search?q=academic%20dishonesty" title=" academic dishonesty"> academic dishonesty</a>, <a href="https://publications.waset.org/abstracts/search?q=public%20university" title=" public university"> public university</a> </p> <a href="https://publications.waset.org/abstracts/152317/intention-mediating-goal-and-attitude-relationship-with-academic-dishonesty-among-undergraduate-university-students-ghana" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/152317.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">99</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">6</span> Predictors of Academic Dishonesty among Serially Frustrated Students in Ogun State, Southwest, Nigeria</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Oyesoji%20Aremu">Oyesoji Aremu</a>, <a href="https://publications.waset.org/abstracts/search?q=Taiwo%20Williams"> Taiwo Williams</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study examined some factors (academic self-efficacy, locus of control, motivation and gender) that could predict academic dishonesty among serially frustrated students in Ogun State, South West, Nigeria. Serial academically frustrated students are students who are unable to attain and meet academic expectations set by themselves or significant others. A sample of 250 undergraduate students selected from two faculties from a University in Ogun State,South West Nigeria took part in the study. Multiple regression analysis was employed to determine the joint and relative contributions of the independent variables to the prediction of the dependent variable. T-test was used to test the hypothesis determining the gender difference between the independent variables (academic self-efficacy, locus of control and motivation) and academic dishonesty of serial academically frustrated male and female students. The results of the study showed all the independent variables jointly contributed to predicting academic dishonesty, while only academic self-efficacy and motivation had relative contributions to the dependent measure. There was no significant difference in the academic self-efficacy and motivation among males and females on academic dishonesty of the serial academically frustrated students but locus of control showed a significant difference between male and female students on academic dishonesty. Implications for counseling of the findings are discussed in the study. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=academic%20dishonesty" title="academic dishonesty">academic dishonesty</a>, <a href="https://publications.waset.org/abstracts/search?q=serially%20frustrated%20students" title=" serially frustrated students"> serially frustrated students</a>, <a href="https://publications.waset.org/abstracts/search?q=academic%20self-efficacy" title=" academic self-efficacy"> academic self-efficacy</a>, <a href="https://publications.waset.org/abstracts/search?q=locus%20of%20control" title=" locus of control"> locus of control</a> </p> <a href="https://publications.waset.org/abstracts/65363/predictors-of-academic-dishonesty-among-serially-frustrated-students-in-ogun-state-southwest-nigeria" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/65363.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">254</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5</span> Developing Early Intervention Tools: Predicting Academic Dishonesty in University Students Using Psychological Traits and Machine Learning</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Pinzhe%20Zhao">Pinzhe Zhao</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study focuses on predicting university students' cheating tendencies using psychological traits and machine learning techniques. Academic dishonesty is a significant issue that compromises the integrity and fairness of educational institutions. While much research has been dedicated to detecting cheating behaviors after they have occurred, there is limited work on predicting such tendencies before they manifest. The aim of this research is to develop a model that can identify students who are at higher risk of engaging in academic misconduct, allowing for earlier interventions to prevent such behavior. Psychological factors are known to influence students' likelihood of cheating. Research shows that traits such as test anxiety, moral reasoning, self-efficacy, and achievement motivation are strongly linked to academic dishonesty. High levels of anxiety may lead students to cheat as a way to cope with pressure. Those with lower self-efficacy are less confident in their academic abilities, which can push them toward dishonest behaviors to secure better outcomes. Students with weaker moral judgment may also justify cheating more easily, believing it to be less wrong under certain conditions. Achievement motivation also plays a role, as students driven primarily by external rewards, such as grades, are more likely to cheat compared to those motivated by intrinsic learning goals. In this study, data on students’ psychological traits is collected through validated assessments, including scales for anxiety, moral reasoning, self-efficacy, and motivation. Additional data on academic performance, attendance, and engagement in class are also gathered to create a more comprehensive profile. Using machine learning algorithms such as Random Forest, Support Vector Machines (SVM), and Long Short-Term Memory (LSTM) networks, the research builds models that can predict students’ cheating tendencies. These models are trained and evaluated using metrics like accuracy, precision, recall, and F1 scores to ensure they provide reliable predictions. The findings demonstrate that combining psychological traits with machine learning provides a powerful method for identifying students at risk of cheating. This approach allows for early detection and intervention, enabling educational institutions to take proactive steps in promoting academic integrity. The predictive model can be used to inform targeted interventions, such as counseling for students with high test anxiety or workshops aimed at strengthening moral reasoning. By addressing the underlying factors that contribute to cheating behavior, educational institutions can reduce the occurrence of academic dishonesty and foster a culture of integrity. In conclusion, this research contributes to the growing body of literature on predictive analytics in education. It offers a approach by integrating psychological assessments with machine learning to predict cheating tendencies. This method has the potential to significantly improve how academic institutions address academic dishonesty, shifting the focus from punishment after the fact to prevention before it occurs. By identifying high-risk students and providing them with the necessary support, educators can help maintain the fairness and integrity of the academic environment. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=academic%20dishonesty" title="academic dishonesty">academic dishonesty</a>, <a href="https://publications.waset.org/abstracts/search?q=cheating%20prediction" title=" cheating prediction"> cheating prediction</a>, <a href="https://publications.waset.org/abstracts/search?q=intervention%20strategies" title=" intervention strategies"> intervention strategies</a>, <a href="https://publications.waset.org/abstracts/search?q=machine%20learning" title=" machine learning"> machine learning</a>, <a href="https://publications.waset.org/abstracts/search?q=psychological%20traits" title=" psychological traits"> psychological traits</a>, <a href="https://publications.waset.org/abstracts/search?q=academic%20integrity" title=" academic integrity"> academic integrity</a> </p> <a href="https://publications.waset.org/abstracts/193020/developing-early-intervention-tools-predicting-academic-dishonesty-in-university-students-using-psychological-traits-and-machine-learning" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/193020.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">21</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4</span> Deceptive Behaviors of Young Children in a Guessing Game</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Desiderio%20S.%20Camitan%20IV">Desiderio S. Camitan IV</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The standard view of lay people in the Philippine society is that young children do not lie and that if they do, their lies are easily detectable. The present study investigated the deceptive behaviors of 373 children aged 2-8 using the temptation resistance paradigm. Children were instructed that they will participate in a game where they are to guess the color of a candy placed inside a downward facing cup. After the instruction was given to them, they are left alone in a room with the cup on top of a table for 15 minutes. The researcher observed the number of children who peeked at the card as well as number of those who confessed to the said act. Age, gender, IQ, and having autism seem to influence the frequency of peeking and confession of the participants. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cheating" title="cheating">cheating</a>, <a href="https://publications.waset.org/abstracts/search?q=lying" title=" lying"> lying</a>, <a href="https://publications.waset.org/abstracts/search?q=dishonesty" title=" dishonesty"> dishonesty</a>, <a href="https://publications.waset.org/abstracts/search?q=young%20children" title=" young children"> young children</a>, <a href="https://publications.waset.org/abstracts/search?q=guessing%20game" title=" guessing game"> guessing game</a>, <a href="https://publications.waset.org/abstracts/search?q=autism" title=" autism"> autism</a> </p> <a href="https://publications.waset.org/abstracts/80619/deceptive-behaviors-of-young-children-in-a-guessing-game" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/80619.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">556</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3</span> Contemporary Mexican Shadow Politics: The War on Drugs and the Issue of Security</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Lisdey%20Espinoza%20Pedraza">Lisdey Espinoza Pedraza</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Organised crime in Mexico evolves faster that our capacity to understand and explain it. Organised gangs have become successful entrepreneurs in many ways ad they have somehow mimicked the working ways of the authorities and in many cases, they have successfully infiltrated the governmental spheres. This business model is only possible under a clear scheme of rampant impunity. Impunity, however, is not exclusive to the PRI. Nor the PRI, PAN, or PRD can claim the monopoly of corruption, but what is worse is that none can claim full honesty in their acts either. The current security crisis in Mexico shows a crisis in the Mexican political party system. Corruption today is not only a problem of dishonesty and the correct use of public resources. It is the principal threat to Mexican democracy, governance, and national security. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=security" title="security">security</a>, <a href="https://publications.waset.org/abstracts/search?q=war%20on%20drugs" title=" war on drugs"> war on drugs</a>, <a href="https://publications.waset.org/abstracts/search?q=drug%20trafficking" title=" drug trafficking"> drug trafficking</a>, <a href="https://publications.waset.org/abstracts/search?q=Mexico" title=" Mexico"> Mexico</a>, <a href="https://publications.waset.org/abstracts/search?q=Latin%20America" title=" Latin America"> Latin America</a>, <a href="https://publications.waset.org/abstracts/search?q=United%20States" title=" United States"> United States</a> </p> <a href="https://publications.waset.org/abstracts/20595/contemporary-mexican-shadow-politics-the-war-on-drugs-and-the-issue-of-security" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/20595.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">417</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2</span> Literary Imagination and Leadership: Lessons From the Classroom</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Naor%20Cohen">Naor Cohen</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In recent years, business schools made teaching ethical leadership a higher priority. Greater attention to moral and ethical concepts and reasoning processes may prove beneficial to future business leaders. But with a shift in focus, there is a need for a shift in pedagogy. This paper explores an imaginative literature-based pedagogy in the teaching of ethical leadership. An imaginative literature-based pedagogy uses works of fiction to help students build moral analysis and moral judgment capabilities through a rigorous assessment of the moral soundness of actions, motivations, rationales, and consequences portrayed in works of fiction. Business students enrolled in 4 leadership senior-level courses were assigned the White Tiger: A Novel by Aravind Adiga as their main course reading. Students' engagement was measured as a three-factor construct exploring cognitive engagement, behavioural engagement and emotional engagement. In addition, students' final papers were analyzed using thematic content analysis. This paper will present the results of this analysis and argue that incorporating fiction into the leadership curriculum allows students to explore the dire consequences of avoiding countervailing interests, engaging in dishonesty and engaging in moral puffery-based leadership. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=ethical%20leadership" title="ethical leadership">ethical leadership</a>, <a href="https://publications.waset.org/abstracts/search?q=empathetic%20imagination" title=" empathetic imagination"> empathetic imagination</a>, <a href="https://publications.waset.org/abstracts/search?q=business%20education" title=" business education"> business education</a>, <a href="https://publications.waset.org/abstracts/search?q=pedagogy" title=" pedagogy"> pedagogy</a>, <a href="https://publications.waset.org/abstracts/search?q=fiction" title=" fiction"> fiction</a> </p> <a href="https://publications.waset.org/abstracts/140159/literary-imagination-and-leadership-lessons-from-the-classroom" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/140159.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">204</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1</span> Dishonesty and Achievement: An Experiment of Self-Revealing Individual Cheating</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Gideon%20Yaniv">Gideon Yaniv</a>, <a href="https://publications.waset.org/abstracts/search?q=Erez%20Siniver"> Erez Siniver</a>, <a href="https://publications.waset.org/abstracts/search?q=Yossef%20Tobol"> Yossef Tobol</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The extensive body of economic and psychological research correlating between students' cheating and their grade point average (GPA) consistently finds a significant negative relationship between cheating and the GPA. However, this literature is entirely based on students' responses to direct question surveys that inquire whether they have ever cheated on their academic assignments. The present paper reports the results of a two-round experiment designed to expose student cheating at the individual level and correlate it with their GPAs. The experiment involved two classes of third-year economics students incentivized by a competitive reward to answer a multiple-choice trivia quiz without consulting their electronic devices. While this forbiddance was deliberately overlooked in the first round, providing an opportunity to cheat, it was strictly enforced in the second, conducted two months later in the same classes with the same quiz. A comparison of subjects' performance in the two rounds, self-revealed a considerable extent of cheating in the first one. Regressing the individual cheating levels on subjects' gender and GPA exhibited no significant differences in cheating between males and females. However, cheating of both genders was found to significantly increase with their GPA, implying, in sharp contrast with the direct question surveys, that higher achievers are bigger cheaters. A second experiment, which allowed subjects to answer the quiz in the privacy of their own cars, reveals that when really feeling safe to cheat, many subjects would cheat maximally, challenging the literature's claim that people generally cheat modestly. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=academic%20achievement" title="academic achievement">academic achievement</a>, <a href="https://publications.waset.org/abstracts/search?q=cheating%20behavior" title=" cheating behavior"> cheating behavior</a>, <a href="https://publications.waset.org/abstracts/search?q=experimental%20data" title=" experimental data"> experimental data</a>, <a href="https://publications.waset.org/abstracts/search?q=grade-point%20average" title=" grade-point average"> grade-point average</a> </p> <a href="https://publications.waset.org/abstracts/59836/dishonesty-and-achievement-an-experiment-of-self-revealing-individual-cheating" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/59836.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">209</span> </span> </div> </div> </div> </main> <footer> <div id="infolinks" class="pt-3 pb-2"> <div class="container"> <div style="background-color:#f5f5f5;" class="p-3"> <div class="row"> <div class="col-md-2"> <ul class="list-unstyled"> About <li><a href="https://waset.org/page/support">About Us</a></li> <li><a href="https://waset.org/page/support#legal-information">Legal</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/WASET-16th-foundational-anniversary.pdf">WASET celebrates its 16th foundational anniversary</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Account <li><a href="https://waset.org/profile">My Account</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Explore <li><a href="https://waset.org/disciplines">Disciplines</a></li> <li><a href="https://waset.org/conferences">Conferences</a></li> <li><a href="https://waset.org/conference-programs">Conference Program</a></li> <li><a href="https://waset.org/committees">Committees</a></li> <li><a href="https://publications.waset.org">Publications</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Research <li><a href="https://publications.waset.org/abstracts">Abstracts</a></li> <li><a href="https://publications.waset.org">Periodicals</a></li> <li><a href="https://publications.waset.org/archive">Archive</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Open Science <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Open-Science-Philosophy.pdf">Open Science Philosophy</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Open-Science-Award.pdf">Open Science Award</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Open-Society-Open-Science-and-Open-Innovation.pdf">Open Innovation</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Postdoctoral-Fellowship-Award.pdf">Postdoctoral Fellowship Award</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Scholarly-Research-Review.pdf">Scholarly Research Review</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Support <li><a href="https://waset.org/page/support">Support</a></li> <li><a href="https://waset.org/profile/messages/create">Contact Us</a></li> <li><a href="https://waset.org/profile/messages/create">Report Abuse</a></li> </ul> </div> </div> </div> </div> </div> <div class="container text-center"> <hr style="margin-top:0;margin-bottom:.3rem;"> <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank" class="text-muted small">Creative Commons Attribution 4.0 International License</a> <div id="copy" class="mt-2">&copy; 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