CHEN Ping-Kuo
   Department   Ritsumeikan Asia Pacific University  College of International Management
   Position   Professor
Language English
Publication Date 2022
Type Research paper (Academic/Professional Journal)
Peer Review Peer reviewed
Title Predicting students' performance in e-learning using learning process and behaviour data.
Contribution Type Corresponding
Journal Scientific Reports
Journal TypeAnother Country
Volume, Issue, Page 12(1),pp.453-Article ID
Total page number 15
Authorship Last author,Corresponding author
International coauthorship International coauthorship
Author and coauthor Qiu Feiyue, Zhang Guodao, Sheng Xin, Jiang Lei, Zhu Lijia, Xiang Qifeng, Jiang Bo, Ping-kuo A. CHEN
Details 1. Predicting Students' Performance in E-Learning Using Learning Process and Behaviour Data investigates how students’ learning process and behavioral data can be used to predict academic performance in e-learning environments. The study analyzes patterns of online learning behavior to identify meaningful predictors and improve the understanding and prediction of students’ learning outcomes.

2. SSCI Q1, Scopus