# Your click decides your fate: Inferring Information Processing and Attrition Behavior from MOOC Video Clickstream Interactions

arXiv: https://arxiv.org/abs/1407.7131 · HTML: https://mlsanity.com/paper/1407.7131/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 26 Jul 2014.

## Built on by (most cited first, 2 of 2)

- [Click-Based Student Performance Prediction: A Clustering Guided Meta-Learning Approach](https://mlsanity.com/paper/2111.00901/) (2021)
- [Scalable and Explainable Learner-Video Interaction Prediction using Multimodal Large Language Models](https://mlsanity.com/paper/2604.04482/) (2026)

## Abstract (arXiv)

In this work, we explore video lecture interaction in Massive Open Online Courses (MOOCs), which is central to student learning experience on these educational platforms. As a research contribution, we operationalize video lecture clickstreams of students into cognitively plausible higher level behaviors, and construct a quantitative information processing index, which can aid instructors to better understand MOOC hurdles and reason about unsatisfactory learning outcomes. Our results illustrate how such a metric inspired by cognitive psychology can help answer critical questions regarding students' engagement, their future click interactions and participation trajectories that lead to in-video & course dropouts. Implications for research and practice are discussed