Identify individual and network factors that correlate with students’ performances.

Academic performance and behavioral patterns

The aim of our study was to better understand the impact of individual and network factors on our ability to distinguish between groups of students based on their performance.

That is, we wanted to identify the ways in which low performers are significantly different from high performers and vice versa. We divide this goal into three specific objectives:

Identify individual and network factors that correlate with students’ performances.

Analyze the importance of different sets of features for supervised learning models to classify students as low, moderate, or high performers.

Investigate significant differences among performance groups for the most important individual and network features