ANN-LSTM: A deep learning model for early student performance prediction in MOOC

Learning Analytics aims to discover the class of students' performance over time. This helps instructors make in-time interventions but, discovering the students' performance class in virtual learning environments consider a challenge due to distance constraints. Many studies, which applie...

詳細記述

書誌詳細

出版年:	Heliyon
主要な著者:	Fatima Ahmed Al-azazi, Mossa Ghurab
フォーマット:	論文
言語:	英語
出版事項:	Elsevier 2023-04-01
主題:	Multi-class classification Student performance prediction Deep learning Virtual learning environments MOOC
オンライン･アクセス:	http://www.sciencedirect.com/science/article/pii/S2405844023025896