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Title: :  THE STUDENT PERFORMANCE PREDICTION SYSTEM USING MACHINE LEARNING
PaperId: :  27431
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 11 Issue 5 2025
DUI:    16.0415/IJARIIE-27431
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Bhuvan Reddy S1PG Student, Dept. of MCA, T John Institute of Technology, Karnataka, India
Sreelakshmy SAssistant Professor, Dept. of MCA, T John Institute of Technology, Karnataka, India

Abstract

Computer Science Engineering
Student Performance Prediction, Artificial Neural Network (ANN), Naïve Bayes Classifier, Decision Tree, Logistic Regression
The major task of any learning institution is to offer the student the best learning experience and knowledge needed to develop him/her. A major move toward this objective is identifying learners in need of extra help and setting measures to enhance their performance in schools. The paper is a machine learning experiment involving four techniques aimed at developing a predictive model to reflect show the expected level of student performance in the course projects in computer science taught at the Al-Muthanna University, College of Humanities. The methods discussed are Artificial Neural Networks (ANN), Naive bayes, Decision Trees, and Logistic Regression. In this work, there is a certain emphasis on two behavioral factors namely the effect of internet use as an academic resource and the effects of time spent on social networking platforms on educational success. These points are recorded in terms of certain factors that show either the dependency of students on the internet as the time-spender and courses provider, or their excessive consumption of social media. The evaluation of the models was carried out by employing the ROC index and overall classification accuracy in comparison to other measures like the error rate, precision recall and F-measure. The data driving this study was obtained by using surveys of students along with formal grade records. The most effective of the four models was the feed-forward multilayer ANN with ROC value of 0.807 and an accuracy of 77.04. Moreover, the Decision Tree(DT) model identified five important variables used to greatly determine student performance..

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IJARIIE Bhuvan Reddy S, and Sreelakshmy S. "THE STUDENT PERFORMANCE PREDICTION SYSTEM USING MACHINE LEARNING" International Journal Of Advance Research And Innovative Ideas In Education Volume 11 Issue 5 2025 Page 136-140
MLA Bhuvan Reddy S, and Sreelakshmy S. "THE STUDENT PERFORMANCE PREDICTION SYSTEM USING MACHINE LEARNING." International Journal Of Advance Research And Innovative Ideas In Education 11.5(2025) : 136-140.
APA Bhuvan Reddy S, & Sreelakshmy S. (2025). THE STUDENT PERFORMANCE PREDICTION SYSTEM USING MACHINE LEARNING. International Journal Of Advance Research And Innovative Ideas In Education, 11(5), 136-140.
Chicago Bhuvan Reddy S, and Sreelakshmy S. "THE STUDENT PERFORMANCE PREDICTION SYSTEM USING MACHINE LEARNING." International Journal Of Advance Research And Innovative Ideas In Education 11, no. 5 (2025) : 136-140.
Oxford Bhuvan Reddy S, and Sreelakshmy S. 'THE STUDENT PERFORMANCE PREDICTION SYSTEM USING MACHINE LEARNING', International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 5, 2025, p. 136-140. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/THE_STUDENT_PERFORMANCE_PREDICTION_SYSTEM_USING_MACHINE_LEARNING_ijariie27431.pdf (Accessed : ).
Harvard Bhuvan Reddy S, and Sreelakshmy S. (2025) 'THE STUDENT PERFORMANCE PREDICTION SYSTEM USING MACHINE LEARNING', International Journal Of Advance Research And Innovative Ideas In Education, 11(5), pp. 136-140IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/THE_STUDENT_PERFORMANCE_PREDICTION_SYSTEM_USING_MACHINE_LEARNING_ijariie27431.pdf (Accessed : )
IEEE Bhuvan Reddy S, and Sreelakshmy S, "THE STUDENT PERFORMANCE PREDICTION SYSTEM USING MACHINE LEARNING," International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 5, pp. 136-140, Sep-Oct 2025. [Online]. Available: https://ijariie.com/AdminUploadPdf/THE_STUDENT_PERFORMANCE_PREDICTION_SYSTEM_USING_MACHINE_LEARNING_ijariie27431.pdf [Accessed : ].
Turabian Bhuvan Reddy S, and Sreelakshmy S. "THE STUDENT PERFORMANCE PREDICTION SYSTEM USING MACHINE LEARNING." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 11 number 5 ().
Vancouver Bhuvan Reddy S, and Sreelakshmy S. THE STUDENT PERFORMANCE PREDICTION SYSTEM USING MACHINE LEARNING. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2025 [Cited : ]; 11(5) : 136-140. Available from: https://ijariie.com/AdminUploadPdf/THE_STUDENT_PERFORMANCE_PREDICTION_SYSTEM_USING_MACHINE_LEARNING_ijariie27431.pdf
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