Student Engagement Level Detection Four Class

Student engagement detection is a task that involves using a hybrid deep learning model to classify student behaviors in online educational videos into four categories. It aims to automatically identify students' states of attention, interest, confusion, and frustration through computer vision technology, thereby providing real-time feedback and personalized intervention suggestions for the teaching process to improve the effectiveness of online learning and the quality of education.