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

Nan Li; Patrick Jermann; Pierre Dillenbourg; Tanmay Sinha

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

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arxiv 1407.7131 v2 pith:MHOS2YAG submitted 2014-07-26 cs.HC cs.LG

Tanmay Sinha , Patrick Jermann , Nan Li , Pierre Dillenbourg This is my paper

classification cs.HCcs.LG

keywords videoclickinformationinteractionslearninglecturemoocprocessing

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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

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COIVis: Eye-tracking-based Visual Exploration of Concept Learning in MOOC Videos
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COIVis aligns multimodal video concepts with screen space and time to turn eye-tracking data into interpretable learner-state sequences, enabling instructors to explore cohort and individual learning patterns in MOOCs.

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