eprintid: 4571
rev_number: 15
eprint_status: archive
userid: 253
dir: disk0/00/00/45/71
datestamp: 2021-08-11 01:40:39
lastmod: 2021-08-11 01:57:53
status_changed: 2021-08-11 01:40:39
type: article
metadata_visibility: show
creators_name: Nguyen, Viet Anh
creators_name: Nguyen, Hoa-Huy
creators_name: Nguyen, Duc-Loc
creators_name: Le, Minh-Duc
creators_id: vietanh@vnu.edu.vn
creators_id: huynguyen@vnu.eduvn
creators_id: 17020871@vnu.edu.vn
creators_id: duclm@vnu.edu.vn
title: A course recommendation model for students based on learning outcome
ispublished: pub
subjects: IT
subjects: isi
divisions: fac_fit
abstract: How to choose the most appropriate courses to study throughout the learning process remains a question interested in by many students. Students often choose suitable courses according to their interests, needs, and advice from supporting staff, etc. This paper presents the results in developing a course recommendation system that will select appropriate courses for each student studying a major in the following semesters based on his/her current academic performance. We have applied several techniques based on data mining and learning analytics to predict students’ learning outcomes in the next semester and developed a model to select the appropriate courses based on such a recommendation system. Besides, our study has focused on comparing the effectiveness of predictive learning methods based on collaborative filtering. Experiments analyzed the learning results of 510 students who enrolled in the courses from 2015 to 2019 and showed that the Matrix Factorization method is the most effective. Also, the paper has proposed procedures and constraints applicable to different training curricula.
date: 2021
id_number: 10.1007/s10639-021-10524-0
full_text_status: public
publication: Education and Information Technologies
refereed: TRUE
related_url_url: https://doi.org/10.1007/s10639-021-10524-0
projects: QG.20.57
citation:   Nguyen, Viet Anh and Nguyen, Hoa-Huy and Nguyen, Duc-Loc and Le, Minh-Duc  (2021) A course recommendation model for students based on learning outcome.  Education and Information Technologies .        
document_url: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/4571/1/manuscript_titlepage_revision.docx