On early prediction of risks in academic performance for students.

Digitization of educational data and processes has enabled widespread development of technologies to support personalized learning. A key requirement in any personalized learning setup is to be able to accurately estimate students' weaknesses so they can be addressed appropriately during personalization. In this paper, we describe our work toward identifying K-12 students at risk of poor academic ...