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AIED
2015
Springer

AttentiveLearner: Improving Mobile MOOC Learning via Implicit Heart Rate Tracking

3 years 7 days ago
AttentiveLearner: Improving Mobile MOOC Learning via Implicit Heart Rate Tracking
We present AttentiveLearner, an intelligent mobile learning system optimized for consuming lecture videos in both Massive Open Online Courses (MOOCs) and flipped classrooms. AttentiveLearner uses on-lens finger gestures as an intuitive control channel for video playback. More importantly, AttentiveLearner implicitly extracts learners’ heart rates and infers their attention by analyzing learners’ fingertip transparency changes during learning on today's unmodified smart phones. In a 24-participant study, we found heart rates extracted from noisy image frames via mobile cameras can be used to predict both learners' "mind wandering" events in MOOC sessions and their performance in follow-up quizzes. The prediction performance of AttentiveLearner (accuracy =
Phuong Pham, Jingtao Wang
Added 14 Apr 2016
Updated 14 Apr 2016
Type Journal
Year 2015
Where AIED
Authors Phuong Pham, Jingtao Wang
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