Mobile Interaction Behavior Analysis for Optimizing Learning Engagement Prediction in Higher Education
Mobile terminals serve as the primary carriers of self-directed mobile learning among university students. Interaction data generated from these terminals can authentically reflect learners’ dynamic engagement levels. Existing research, however, inadequately accommodates the non-uniform temporal characteristics of beha...