We are pleased to share a recent publication by G. Y. Wang, Y. Hatori, Y. Sato, C. H. Tseng, and S. Shioiri, titled “Predicting Learners’ Engagement and Help-Seeking Behaviors in an E-learning Environment by Using Facial and Head Pose Features.”

This work explores how facial expressions and head pose data can be used to predict learners’ engagement and their help-seeking behaviors in e-learning settings. By leveraging multimodal behavioral cues, the study provides insights into how intelligent systems can better support learners through adaptive feedback and personalized interventions.

Congratulations to the authors on this achievement!