Early Detection of At-Risk Students Using Machine Learning

Azucena L. Jimenez Martinez, Kanika Sood, Rakeshkumar Mahto

This research presents preliminary work to address the challenge of identifying at-risk students using supervised machine learning and three unique data categories: engagement, dem…