Advisor-Oriented Course Recommendation System Using Student Grades
In some universities, student advisors are often hired to enhance students’ retention rate. Having some students in mind, these advisors may find some difficulties in guiding the students in terms of selecting relevant courses. This paper proposes an advisor-oriented course recommendation system. Usi...
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Format: | Article |
Language: | English |
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Andalas University
2023-09-01
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Series: | JITCE (Journal of Information Technology and Computer Engineering) |
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Online Access: | http://10.250.30.20/index.php/JITCE/article/view/146 |
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author | Muftah Afrizal Pangestu Oscar Karnalim |
author_facet | Muftah Afrizal Pangestu Oscar Karnalim |
author_sort | Muftah Afrizal Pangestu |
collection | DOAJ |
description |
In some universities, student advisors are often hired to enhance students’ retention rate. Having some students in mind, these advisors may find some difficulties in guiding the students in terms of selecting relevant courses. This paper proposes an advisor-oriented course recommendation system. Using this system, the advisors may suggest relevant courses to their students easier and more accurate. This system relies on student grades and comprehensive course data. Further, it utilises content-based and collaborative filtering for predicting relevant courses. According to our evaluation, the system is considerably effective; the accuracy of content-based filtering is about 66% while the accuracy of collaborative filtering is about 58%. Further, some parameters may be potential for enhancing accuracy while the others may be not.
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format | Article |
id | doaj-art-4ecb2cddf938458d8acbc867ea5bdcd2 |
institution | Kabale University |
issn | 2599-1663 |
language | English |
publishDate | 2023-09-01 |
publisher | Andalas University |
record_format | Article |
series | JITCE (Journal of Information Technology and Computer Engineering) |
spelling | doaj-art-4ecb2cddf938458d8acbc867ea5bdcd22025-02-08T21:26:05ZengAndalas UniversityJITCE (Journal of Information Technology and Computer Engineering)2599-16632023-09-017210.25077/jitce.7.2.63-72.2023Advisor-Oriented Course Recommendation System Using Student GradesMuftah Afrizal Pangestu0Oscar Karnalim1Maranatha Christian UniversityMaranatha Christian University In some universities, student advisors are often hired to enhance students’ retention rate. Having some students in mind, these advisors may find some difficulties in guiding the students in terms of selecting relevant courses. This paper proposes an advisor-oriented course recommendation system. Using this system, the advisors may suggest relevant courses to their students easier and more accurate. This system relies on student grades and comprehensive course data. Further, it utilises content-based and collaborative filtering for predicting relevant courses. According to our evaluation, the system is considerably effective; the accuracy of content-based filtering is about 66% while the accuracy of collaborative filtering is about 58%. Further, some parameters may be potential for enhancing accuracy while the others may be not. http://10.250.30.20/index.php/JITCE/article/view/146recommender systemstudent advisorcontent-based filteringcollaborative filteringcomputer science education |
spellingShingle | Muftah Afrizal Pangestu Oscar Karnalim Advisor-Oriented Course Recommendation System Using Student Grades JITCE (Journal of Information Technology and Computer Engineering) recommender system student advisor content-based filtering collaborative filtering computer science education |
title | Advisor-Oriented Course Recommendation System Using Student Grades |
title_full | Advisor-Oriented Course Recommendation System Using Student Grades |
title_fullStr | Advisor-Oriented Course Recommendation System Using Student Grades |
title_full_unstemmed | Advisor-Oriented Course Recommendation System Using Student Grades |
title_short | Advisor-Oriented Course Recommendation System Using Student Grades |
title_sort | advisor oriented course recommendation system using student grades |
topic | recommender system student advisor content-based filtering collaborative filtering computer science education |
url | http://10.250.30.20/index.php/JITCE/article/view/146 |
work_keys_str_mv | AT muftahafrizalpangestu advisororientedcourserecommendationsystemusingstudentgrades AT oscarkarnalim advisororientedcourserecommendationsystemusingstudentgrades |