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Automated Analysis of Lecture Video Engagement Using Student Posts

2017; Springer Science+Business Media; Linguagem: Inglês

10.1007/978-3-319-61425-0_65

1611-3349

Nicholas R. Stepanek, Brian Dorn,

Intelligent Tutoring Systems and Adaptive Learning

This work explores the feasibility of a learning analytic that would provide high level engagement data to instructors based on students’ text artifacts in online learning systems. Student posts from an online lecture video system were collected and manually coded by engagement using the ICAP framework. Analyses show what features are most indicative of engagement and the performance of using a neural network to classify posts by engagement.