Your click decides your fate: Inferring Information Processing and Attrition Behavior from MOOC Video Clickstream Interactions
This work addresses student retention issues in online education for instructors and platform designers, but it is incremental as it applies existing cognitive psychology concepts to MOOC data.
The paper tackled the problem of understanding student engagement and attrition in MOOCs by analyzing video clickstream interactions, resulting in a quantitative information processing index that predicts student dropouts and future click behaviors.
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