AI-Powered Classroom Monitoring
Keywords
AI in Education, Responsive Teaching, Classroom Monitoring, Emotion Detection, Eye Tracking, Head Pose Estimation, Student Engagement, Deep Learning, Adaptive Learning
Type of Proposal
Oral Presentation
Faculty
Faculty of Science
Faculty Sponsor
Dr. Kalyani Selvarajah
Proposal
In the evolving landscape of education, the role of technology, specifically artificial intelligence (AI), has become increasingly significant. Our project, "AI-Powered Classroom Monitoring, “seeks to extend conventional teaching methodologies by introducing an AI-based system to monitor and analyze student engagement in real-time. Building upon the existing "In-Class Student Emotion and Engagement Detection System (iSEEDS)" developed by Vishnumolakala et al., we enhance it with advanced features like head pose estimation and statistical report generation, focusing on creating an inclusive and equitable educational environment.
AI-Powered Classroom Monitoring
In the evolving landscape of education, the role of technology, specifically artificial intelligence (AI), has become increasingly significant. Our project, "AI-Powered Classroom Monitoring, “seeks to extend conventional teaching methodologies by introducing an AI-based system to monitor and analyze student engagement in real-time. Building upon the existing "In-Class Student Emotion and Engagement Detection System (iSEEDS)" developed by Vishnumolakala et al., we enhance it with advanced features like head pose estimation and statistical report generation, focusing on creating an inclusive and equitable educational environment.