Time-series Insights into the Process of Passing or Failing Online University Courses using Neural-Induced Interpretable Student States

no code implementations • 1 May 2019 • Byungsoo Jeon, Eyal Shafran, Luke Breitfeller, Jason Levin, Carolyn P. Rose

This paper addresses a key challenge in Educational Data Mining, namely to model student behavioral trajectories in order to provide a means for identifying students most at-risk, with the goal of providing supportive interventions.

Time Series Time Series Analysis