Artificial Intelligence-Based Multimodal Student Monitoring for Early Risk Detection
Student monitoring in elementary education remains challenging when academic records, attendance, activeness, and emotional indicators are managed through fragmented administrative processes. This condition limits teachers’ ability to identify student risks early and provide timely interventions. This study aimed to de...