Student performance classification: a comparison of feature selection methods based on online learning activities

The classification of student performance involves categorizing students' performance using input data such as demographic information and examination results. However, our study introduces a novel approach by emphasizing students' online learning activities as a rich data source. To avoid...

詳細記述

書誌詳細
出版年:International Journal of Electrical and Computer Engineering
第一著者: Alias M.A.H.; Aziz M.A.A.; Hambali N.; Taib M.N.
フォーマット: 論文
言語:English
出版事項: Institute of Advanced Engineering and Science 2024
オンライン・アクセス:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195190065&doi=10.11591%2fijece.v14i4.pp4675-4685&partnerID=40&md5=1571a2be942ebed4a74e406791892710