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MOOC Video Interaction Patterns: What Do They Tell Us?

  • Nan LiEmail author
  • Łukasz Kidziński
  • Patrick Jermann
  • Pierre Dillenbourg
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9307)

Abstract

For MOOC learners, lecture video viewing is the central learning activity. This paper reports a large-scale analysis of in-video interactions. We categorize the video behaviors into patterns by employing a clustering methodology, based on the available types of interactions, namely, pausing, forward and backward seeking and speed changing. We focus on how learners view MOOC videos with these interaction patterns, especially on exploring the relationship between video interaction and perceived video difficulty, video revisiting behaviors and student performance. Our findings provide insights for improving the MOOC learning experiences.

Keywords

MOOC Online education Video analysis Video interaction Clustering analysis 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Nan Li
    • 1
    Email author
  • Łukasz Kidziński
    • 1
  • Patrick Jermann
    • 1
  • Pierre Dillenbourg
    • 1
  1. 1.École polytechnique fédérale de LausanneLausanneSwitzerland

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