Comparing the performance of machine learning and deep learning algorithms classifying messages in Facebook learning group. - Cheng-Yo Huang-Fu; Chen-Hsuan Liao; Jiun-Yu Wu (ICALT, 2021)

Using Unsupervised Machine Learning to Model Taiwanese High-School Students' Digital Distraction Profiles Concerning Internet Gaming Disorder. - Yu-Lin Ho; Chien Chou; Chen-Hsuan Liao; Jiun-Yu Wu (ICCE, 2022)

Deploying multimodal learning analytics models to explore the impact of digital distraction and peer learning on student performance. - Chen-Hsuan Liao; Jiun-Yu Wu (Comput. Educ., 2022)

Peer Feedback in Online Learning Communities: Its Effectiveness on Internal Motivation from the Perspective of Self-Determination Theory. - Chen-Hsuan Liao; Hsin-Jung Chung; Jiun-Yu Wu (ICALT, 2023)

Learning analytics on video-viewing engagement in a flipped statistics course: Relating external video-viewing patterns to internal motivational dynamics and performance. - Chen-Hsuan Liao; Jiun-Yu Wu (Comput. Educ., 2023)

Using learning analytics with temporal modeling to uncover the interplay of before-class video viewing engagement, motivation, and performance in an active learning context. - Jiun-Yu Wu; Chen-Hsuan Liao; Chin-Chung Tsai; Oi-Man Kwok (Comput. Educ., 2024)