Ensemble Approach for Predicting Student's Academic Performance

<!DOCTYPE html> <html lang="en" dir="ltr"> <head>  <script async src="https://www.googletagmanager.com/gtag/js?id=G-P63WKM1TM1"></script> <script> window.dataLayer = window.dataLayer || []; function gtag(){dataLayer.push(arguments);} gtag('js', new Date()); gtag('config', 'G-P63WKM1TM1'); </script>  <script type="text/javascript" > (function(m,e,t,r,i,k,a){m[i]=m[i]||function(){(m[i].a=m[i].a||[]).push(arguments)}; m[i].l=1*new Date(); for (var j = 0; j < document.scripts.length; j++) {if (document.scripts[j].src === r) { return; }} k=e.createElement(t),a=e.getElementsByTagName(t)[0],k.async=1,k.src=r,a.parentNode.insertBefore(k,a)}) (window, document, "script", "https://mc.yandex.ru/metrika/tag.js", "ym"); ym(55165297, "init", { clickmap:false, trackLinks:true, accurateTrackBounce:true, webvisor:false }); </script> <noscript><div><img src="https://mc.yandex.ru/watch/55165297" style="position:absolute; left:-9999px;" alt="" /></div></noscript>    <title>Ensemble Approach for Predicting Student's Academic Performance</title> <meta name="description" content="Ensemble Approach for Predicting Student's Academic Performance"> <meta name="keywords" content="Ensemble, bagging, Random Forest, boosting, data mining, classifiers, machine learning."> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <meta name="citation_title" content="Ensemble Approach for Predicting Student's Academic Performance"> <meta name="citation_author" content="L. A. Muhammad"> <meta name="citation_author" content="M. S. Argungu"> <meta name="citation_publication_date" content="2023/02/15"> <meta name="citation_journal_title" content="International Journal of Educational and Pedagogical Sciences"> <meta name="citation_volume" content="17"> <meta name="citation_issue" content="2"> <meta name="citation_firstpage" content="111"> <meta name="citation_lastpage" content="117"> <meta name="citation_pdf_url" content="https://publications.waset.org/10012963/pdf"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button class="d-block d-lg-none navbar-toggler ml-auto" type="button" data-toggle="collapse" data-target="#navbarMenu" aria-controls="navbarMenu" aria-expanded="false" aria-label="Toggle navigation"> <span class="navbar-toggler-icon"></span> </button> <div class="w-100"> <div class="d-none d-lg-flex flex-row-reverse"> <form method="get" action="https://waset.org/search" class="form-inline my-2 my-lg-0"> <input class="form-control mr-sm-2" type="search" placeholder="Search Conferences" value="" name="q" aria-label="Search"> <button class="btn btn-light my-2 my-sm-0" type="submit"><i class="fas fa-search"></i></button> </form> </div> <div class="collapse navbar-collapse mt-1" id="navbarMenu"> <ul class="navbar-nav ml-auto align-items-center" id="mainNavMenu"> <li class="nav-item"> <a class="nav-link" href="https://waset.org/conferences" title="Conferences in 2024/2025/2026">Conferences</a> </li> <li class="nav-item"> <a class="nav-link" href="https://waset.org/disciplines" title="Disciplines">Disciplines</a> </li> <li class="nav-item"> <a class="nav-link" href="https://waset.org/committees" rel="nofollow">Committees</a> </li> <li class="nav-item dropdown"> <a class="nav-link dropdown-toggle" href="#" id="navbarDropdownPublications" role="button" data-toggle="dropdown" aria-haspopup="true" aria-expanded="false"> Publications </a> <div class="dropdown-menu" aria-labelledby="navbarDropdownPublications"> <a class="dropdown-item" href="https://publications.waset.org/abstracts">Abstracts</a> <a class="dropdown-item" href="https://publications.waset.org">Periodicals</a> <a class="dropdown-item" href="https://publications.waset.org/archive">Archive</a> </div> </li> <li class="nav-item"> <a class="nav-link" href="https://waset.org/page/support" title="Support">Support</a> </li> </ul> </div> </div> </nav> </div> </header> <main> <div class="container mt-4"> <div class="row"> <div class="col-md-9 mx-auto"> <form method="get" action="https://publications.waset.org/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=""> <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> 33093</div> </div> </div> </div> <div class="card publication-listing mt-3 mb-3"> <h5 class="card-header" style="font-size:.9rem">Ensemble Approach for Predicting Student's Academic Performance</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/search?q=L.%20A.%20Muhammad">L. A. Muhammad</a>, <a href="https://publications.waset.org/search?q=M.%20S.%20Argungu"> M. S. Argungu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> <p>Educational data mining (EDM) has recorded substantial considerations. Techniques of data mining in one way or the other have been proposed to dig out out-of-sight knowledge in educational data. The result of the study got assists academic institutions in further enhancing their process of learning and methods of passing knowledge to students. Consequently, the performance of students boasts and the educational products are by no doubt enhanced. This study adopted a student performance prediction model premised on techniques of data mining with Students' Essential Features (SEF). SEF are linked to the learner's interactivity with the e-learning management system. The performance of the student's predictive model is assessed by a set of classifiers, viz. Bayes Network, Logistic Regression, and Reduce Error Pruning Tree (REP). Consequently, ensemble methods of Bagging, Boosting, and Random Forest (RF) are applied to improve the performance of these single classifiers. The study reveals that the result shows a robust affinity between learners' behaviors and their academic attainment. Result from the study shows that the REP Tree and its ensemble record the highest accuracy of 83.33% using SEF. Hence, in terms of the Receiver Operating Curve (ROC), boosting method of REP Tree records 0.903, which is the best. This result further demonstrates the dependability of the proposed model.</p> <iframe src="https://publications.waset.org/10012963.pdf" style="width:100%; height:400px;" frameborder="0"></iframe> <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=Ensemble" title="Ensemble">Ensemble</a>, <a href="https://publications.waset.org/search?q=bagging" title=" bagging"> bagging</a>, <a href="https://publications.waset.org/search?q=Random%20Forest" title=" Random Forest"> Random Forest</a>, <a href="https://publications.waset.org/search?q=boosting" title=" boosting"> boosting</a>, <a href="https://publications.waset.org/search?q=data%20mining" title=" data mining"> data mining</a>, <a href="https://publications.waset.org/search?q=classifiers" title=" classifiers"> classifiers</a>, <a href="https://publications.waset.org/search?q=machine%20learning." title=" machine learning."> machine learning.</a> </p> <a href="https://publications.waset.org/10012963/ensemble-approach-for-predicting-students-academic-performance" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/10012963/apa" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">APA</a> <a href="https://publications.waset.org/10012963/bibtex" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">BibTeX</a> <a href="https://publications.waset.org/10012963/chicago" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Chicago</a> <a href="https://publications.waset.org/10012963/endnote" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">EndNote</a> <a href="https://publications.waset.org/10012963/harvard" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Harvard</a> <a href="https://publications.waset.org/10012963/json" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">JSON</a> <a href="https://publications.waset.org/10012963/mla" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">MLA</a> <a href="https://publications.waset.org/10012963/ris" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">RIS</a> <a href="https://publications.waset.org/10012963/xml" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">XML</a> <a href="https://publications.waset.org/10012963/iso690" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">ISO 690</a> <a href="https://publications.waset.org/10012963.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">762</span> </span> <p class="card-text"><strong>References:</strong></p> <br>[1] Amrieh, E. A., Hamtini, T., & Aljarah, I. (2016). Mining Educational Data to Predict Student’s Academic Performance Using Ensemble Methods. International Journal of Database Theory and Application, 9(8), 209–213. https://doi.org/10.14257/ijdta.2016.9.8.13 <br>[2] Bendangnuksung, R. K & Prabu, E. P. (2018). Early Dropout Prediction Using Data Mining: A Case Study with High School Students. International Journal of Applied Engineering Research ISSN 0973-4562 Volume 13, Number 2 (2018) pp. 1171-1176 <br>[3] Devasia, M. T., P, M. V. T., & Hegde, V. (2016). Prediction of Students Performance Using Educational Data Mining. In Department of Computer Science Amrita Vishwa Vidyapeetham University, Mysuru Campus Mysuru, Karnataka, India (p. 190). <br>[4] Gupta, A., Gupta, S., & Singh, D. (2015). A Systematic Review of Classification Techniques and Implementation of ID3 Decision Tree Algorithm. In International Conference on System Modeling & Advancement in Research Trends (SMART) (pp. 144–152). <br>[5] Han, H. U. I. X., & Jie, J. S. U. N. (2009). Financial Distress Prediction Based on Ensemble Classifiers of Multiple Reductions. International Conference on Management Science & Engineering (pp. 1247–1252). <br>[6] Hodžić, A., Kevrić, J., & Karadag, A. (2016). Comparison of Machine Learning Techniques in Phishing Websites. In International Conference on Economic and Social Studies (ICESoS)) 2016 (pp. 249–256). <br>[7] Mhetre, V. (2017). Classification-Based Data Mining Algorithms to Predict Slow, Average, and Fast Learners in Educational System Using Weka. In Proceedings of the IEEE 2017 International Conference on Computing Methodologies and Communication (pp. 475–479). <br>[8] Mousa, H., & Maghari, A. (2017). School Students â€TM Performance Prediction Using Data Mining Classification. International Journal of Advanced Research in Computer and Communication Engineering ISO, 6(8), 136–141. https://doi.org/10.17148/IJARCCE.2017.6824 <br>[9] Osokoya, I. J (2009). Mining Educational Data to Predict Student’s Academic Performance Using Ensemble Methods. And Theory International Journal Application, Database of 9(8), 209–213.https://doi.org/10.14257/ijdta.2016.9.8.13 <br>[10] Olukoya, B. M (2018). Mining Educational Data to Predict Student's Academic Performance. International Journal on Recent and Innovation Trends in Computing and Communication, 4(1), 1–5. <br>[11] Phil, M., & Shoba, S. A. (2017). Educational data Mining & Students Performance Prediction Using SVM Techniques. International Research Journal of Engineering and Technology (IRJET), 4(8), 1248–1254. <br>[12] Roy, S. (2017). Predicting Academic Performance of Students Using Classification Techniques. In 4th IEEE Uttar Pradesh Section International Conference on Electrical, Computer, and Electronics (pp. 568–572). <br>[13] Roy, S., & Garg, A. (2017). Predicting Academic Performance of Students Using Classification Techniques. In 4th IEEE Uttar Pradesh Section International Conference on Electrical, Computer, and Electronics (pp. 568–572). Mathura. <br>[14] Shet, S. (2014). Approach for Predicting Student Performance Using Ensemble Model Method. International Journal of Innovative Research in Computer and Communication Engineering, 2(5), 161–169. <br>[15] Suharjito, Diana, & Herianto. (2017). Implementation of Classification Technique in Web Usage Mining of Banking Company. In Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy (pp. 211–218). https://doi.org/10.1109/ISITIA.2016.7828660 <br>[16] Vinodhini, G., & Chandrasekaran, R. M. (2018). Predicting Students’ Academic Performance in the University Using Meta Decision Tree Classifiers. Journal of Computer Science, 15(12), 1–8. https://doi.org/10.3844/jcssp.2018.654.662 <br>[17] Wati, M., Indrawan, W., Widians, J. A., & Puspitasari, N. (2017). Data Mining for Predicting Students ' Learning Results. In Dept. of Computer Science and Information Technology Universitas Mulawarman Samarinda, Indonesia (p. 28). </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">© 2024 World Academy of Science, Engineering and Technology</div> </div> </footer> <a href="javascript:" id="return-to-top"><i class="fas fa-arrow-up"></i></a> <div class="modal" id="modal-template"> <div class="modal-dialog"> <div class="modal-content"> <div class="row m-0 mt-1"> <div class="col-md-12"> <button type="button" class="close" data-dismiss="modal" aria-label="Close"><span aria-hidden="true">×</span></button> </div> </div> <div class="modal-body"></div> </div> </div> </div> <script src="https://cdn.waset.org/static/plugins/jquery-3.3.1.min.js"></script> <script src="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/js/bootstrap.bundle.min.js"></script> <script src="https://cdn.waset.org/static/js/site.js?v=150220211556"></script> <script> jQuery(document).ready(function() { /*jQuery.get("https://publications.waset.org/xhr/user-menu", function (response) { jQuery('#mainNavMenu').append(response); });*/ jQuery.get({ url: "https://publications.waset.org/xhr/user-menu", cache: false }).then(function(response){ jQuery('#mainNavMenu').append(response); }); }); </script> </body> </html>

CINXE.COM

Ensemble Approach for Predicting Student's Academic Performance