An Intelligent Learning System for Supporting Interactive Learning through Student Engagement Study

Interactive learning in class or off-class is crucial to teaching and learning. In this paper, we propose an intelligent learning system for supporting student interactive learning through engagement study, which is based on three modules, i.e., attendance management, teacher-student (T&S) communication, visual focus of attention(VFOA) recognition. Attendance management matches the student's identity and locates his/her profile. T&S communication provides an additional channel of Question and Answer (Q&A) between a teacher and students. VFOA recognition captures student's attention on different learning targets based on the estimated head poses, visual environment cues and prior state in class. Student engagement is analyzed based on multiple cues of one's attendance, class communication and VFOA. The experimental results suggest that an intelligent learning system is benefit to improve interactive learning and enhance learning efficiency.