# Ordinal Behavior Classification of Student Online Course Interactions

arXiv: https://arxiv.org/abs/2405.05142 · HTML: https://mlsanity.com/paper/2405.05142/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 2 of its 21 references that are in the map.
- First posted on arXiv 20 Apr 2024.

## Builds on (most cited first, 2 of 2)

- [Student Success Prediction in MOOCs](https://mlsanity.com/paper/1711.06349/) (2017)
- [Academic Performance Estimation with Attention-based Graph Convolutional Networks](https://mlsanity.com/paper/2001.00632/) (2019)

## Abstract (arXiv)

The study in interaction patterns between students in on-campus and MOOC-style online courses has been broadly studied for the last 11 years. Yet there remains a gap in the literature comparing the habits of students completing the same course offered in both on-campus and MOOC-style online formats. This study will look at browser-based usage patterns for students in the Georgia Tech CS1301 edx course for both the online course offered to on-campus students and the MOOCstyle course offered to anyone to determine what, if any, patterns exist between the two cohorts.