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Modeling and Interpreting User Navigation Patterns in MOOCs

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Frontier Computing (FC 2017)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 464))

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Abstract

Over the past few years, MOOCs have trigged an education revolution. Clickstream data of user were recorded by MOOCs platform, providing valuable insights about the way user interact with the MOOCs. In this paper, we study user navigation patterns in MOOCs. We propose a metric to measure the similarity between user session-level navigation path, and build an unsupervised clustering model to capture user navigation patterns in MOOCs. Based on the user behavior clustering result, we further explore engagement of each navigation pattern from the perspective of dropout. To measure the effectiveness of our model, we conduct experiment on real world dataset with five weeks of interaction logs of 3,914 users. Through our analysis, clustering model proposed effectively identifies 13 types of user navigation patterns, which help us understand user behavior in MOOCs.

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Notes

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Author information

Authors and Affiliations

  1. School of Software and Microelectronics, Peking University, No. 5 Yiheyuan Road, Haidian District, Beijing, China

    Xiangyu Zhang & Huiping Lin

Authors
  1. Xiangyu Zhang
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  2. Huiping Lin
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Corresponding author

Correspondence to Huiping Lin .

Editor information

Editors and Affiliations

  1. Department of Information Technology, Overseas Chinese University, Taichung, Taiwan

    Jason C. Hung

  2. School of Computer Science and Engineering, University of Aizu, Aizu-Wakamatsu, Japan

    Neil Y. Yen

  3. Department of Innovative Information and Technology, Tamkang University, Yilan County, Taiwan

    Lin Hui

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Zhang, X., Lin, H. (2018). Modeling and Interpreting User Navigation Patterns in MOOCs. In: Hung, J., Yen, N., Hui, L. (eds) Frontier Computing. FC 2017. Lecture Notes in Electrical Engineering, vol 464. Springer, Singapore. https://doi.org/10.1007/978-981-10-7398-4_41

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  • DOI: https://doi.org/10.1007/978-981-10-7398-4_41

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-7397-7

  • Online ISBN: 978-981-10-7398-4

  • eBook Packages: EngineeringEngineering (R0)

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