Dynamics of Affective States During MOOC Learning

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10331)

Abstract

We investigate the temporal dynamics of learners’ affective states (e.g., engagement, boredom, confusion, frustration, etc.) during video-based learning sessions in Massive Open Online Courses (MOOCs) in a 22-participant user study. We also show the feasibility of predicting learners’ moment-to-moment affective states via implicit photoplethysmography (PPG) sensing on unmodified smartphones.

Keywords

Massive Open Online Courses Intelligent Tutoring Systems Physiological signals Affective computing 

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Computer Science and LRDCUniversity of PittsburghPittsburghUSA

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