Identifying student at-risk via behavioral recognition and learning analytics dashboard

This paper proposes a novel educational technology solution that leverages behavioral recognition and learning analytics to identify students at risk of academic difficulties or emotional challenges across various educational levels, from primary schools to universities. By combining advanced data analysis techniques with generative AI, the system aims to provide early intervention strategies, personalized support, and actionable insights for educators to enhance their understanding of student learning patterns and improve overall educational outcomes.