Juho Kim

TL;DR: The largest-scale study of video engagement to date is presented, using data from 6.9 million video watching sessions across four courses on the edX MOOC platform, finding that shorter videos are much more engaging, that informal talking-head videos are more engage, and that Khan-style tablet drawings are more engaging.

TL;DR: A large-scale analysis of in-video dropout and peaks in viewership and student activity, using second-by-second user interaction data from 862 videos in four Massive Open Online Courses on edX, finds higher dropout rates in longer videos, re-watching sessions (vs first-time), and tutorials (vs lectures).

TL;DR: Providing explanations from AXIS (Adaptive eXplanation Improvement System) objectively enhanced learning, when compared to the default practice where learners solved problems and received answers without explanations.

TL;DR: In this article, the design space of data-driven interaction techniques for educational video navigation is explored, including a 2D video timeline with an embedded visualization of collective navigation traces; dynamic and non-linear timeline scrubbing; data-enhanced transcript search and keyword summary; automatic display of relevant still frames next to the video; and a visual summary representing points with high learner activity.

TL;DR: A set of techniques that augment existing video interface widgets are introduced, including: a 2D video timeline with an embedded visualization of collective navigation traces; dynamic and non-linear timeline scrubbing; data-enhanced transcript search and keyword summary; automatic display of relevant still frames next to the video; and a visual summary representing points with high learner activity.