Revealing the Relations between Learning Behaviors and Examination Scores via a Prediction System

In this paper, we present a regression model to predict students' midterm and final examinations by using student interaction history from course's online system. The regression result shows not only a low regression error but some clues for improving student learning behavior and modifying course policy. Ultimately, an instructor can focus on those students with low prediction score.