How Do In-video Interactions Reflect Perceived Video Difficulty?

Lecture videos are the major components in MOOCs. It is common for MOOC analytics researchers to model video behaviors in order to identify at-risk students. Much of the work emphasized prediction. However, we have little empirical understanding about these video interactions, especially at the click-level. For example, what kind of video interactions may indicate a student has experienced difficulty? To what extent can video interactions tell us about perceived video difficulty? In this paper, we present a video interaction analysis to provide empirical evidence about this issue. We find out that speed decreases, frequent and long pauses, infrequent seeks with high amount of skipping and re-watching indicate higher level of video difficulty. MOOC practitioners and instructors may use the insights to provide students with proper support to enhance the learning experience.

Published in:
Proceedings of the European MOOCs Stakeholder Summit 2015, 112-121
Presented at:
3rd European MOOCs Stakeholders Summit, Mons, Belgium, May 18-20, 2015
P.A.U. Education

Note: The status of this file is: Anyone

 Record created 2015-05-21, last modified 2020-10-25

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