Analysis and Prediction of Student Academic Performance Using Machine Learning
Analyzing the academic performance of students is of utmost importance for academic institutions and educationists, so as to know the ways of improving individual student’s performance. The project analyzed the past results of students including their individual attributes including age, demographic...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Andalas University
2020-03-01
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| Series: | JITCE (Journal of Information Technology and Computer Engineering) |
| Subjects: | |
| Online Access: | http://jitce.fti.unand.ac.id/index.php/JITCE/article/view/51 |
| _version_ | 1811316165390106624 |
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| author | Ajibola Oluwafemi Oyedeji Abdulrazaq M Salami Olaolu Folorunsho Olatilewa R. Abolade |
| author_facet | Ajibola Oluwafemi Oyedeji Abdulrazaq M Salami Olaolu Folorunsho Olatilewa R. Abolade |
| author_sort | Ajibola Oluwafemi Oyedeji |
| collection | DOAJ |
| description | Analyzing the academic performance of students is of utmost importance for academic institutions and educationists, so as to know the ways of improving individual student’s performance. The project analyzed the past results of students including their individual attributes including age, demographic distribution, family background and attitude to study and tests this data using machine learning tools. Three models which are; Linear regression for supervised learning, linear regression with deep learning and neural network were tested using the test and train data with the Linear regression for supervised learning having the best mean average error (MAE). |
| first_indexed | 2024-04-13T11:43:53Z |
| format | Article |
| id | doaj.art-59af9aa6fe12474dbb89651fc8434e14 |
| institution | Directory Open Access Journal |
| issn | 2599-1663 |
| language | English |
| last_indexed | 2024-04-13T11:43:53Z |
| publishDate | 2020-03-01 |
| publisher | Andalas University |
| record_format | Article |
| series | JITCE (Journal of Information Technology and Computer Engineering) |
| spelling | doaj.art-59af9aa6fe12474dbb89651fc8434e142022-12-22T02:48:13ZengAndalas UniversityJITCE (Journal of Information Technology and Computer Engineering)2599-16632020-03-0140110.25077/jitce.4.01.10-15.2020Analysis and Prediction of Student Academic Performance Using Machine LearningAjibola Oluwafemi Oyedeji0Abdulrazaq M SalamiOlaolu FolorunshoOlatilewa R. AboladeOlabisi Onabanjo UniversityAnalyzing the academic performance of students is of utmost importance for academic institutions and educationists, so as to know the ways of improving individual student’s performance. The project analyzed the past results of students including their individual attributes including age, demographic distribution, family background and attitude to study and tests this data using machine learning tools. Three models which are; Linear regression for supervised learning, linear regression with deep learning and neural network were tested using the test and train data with the Linear regression for supervised learning having the best mean average error (MAE).http://jitce.fti.unand.ac.id/index.php/JITCE/article/view/51Student's performancemachine learninglinear regressionneural networkMAE |
| spellingShingle | Ajibola Oluwafemi Oyedeji Abdulrazaq M Salami Olaolu Folorunsho Olatilewa R. Abolade Analysis and Prediction of Student Academic Performance Using Machine Learning JITCE (Journal of Information Technology and Computer Engineering) Student's performance machine learning linear regression neural network MAE |
| title | Analysis and Prediction of Student Academic Performance Using Machine Learning |
| title_full | Analysis and Prediction of Student Academic Performance Using Machine Learning |
| title_fullStr | Analysis and Prediction of Student Academic Performance Using Machine Learning |
| title_full_unstemmed | Analysis and Prediction of Student Academic Performance Using Machine Learning |
| title_short | Analysis and Prediction of Student Academic Performance Using Machine Learning |
| title_sort | analysis and prediction of student academic performance using machine learning |
| topic | Student's performance machine learning linear regression neural network MAE |
| url | http://jitce.fti.unand.ac.id/index.php/JITCE/article/view/51 |
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