User Profiling in a SPOC: A method based on User Video Clickstream Analysis

Authors

  • Naima Belarbi Faculty of Sciences Ben M'Sik Casablanca, Hassan II University - Casablanca, Morocco https://orcid.org/0000-0002-7708-7875
  • Nadia Chafiq Faculty of Sciences Ben M'Sik Casablanca, Hassan II University - Casablanca, Morocco
  • Mohammed Talbi Faculty of Sciences Ben M'Sik Casablanca, Hassan II University - Casablanca, Morocco
  • Abdelwahed Namir Faculty of Sciences Ben M'Sik Casablanca, Hassan II University - Casablanca, Morocco
  • Elhabib Benlahmar Faculty of Sciences Ben M'Sik Casablanca, Hassan II University - Casablanca, Morocco

DOI:

https://doi.org/10.3991/ijet.v14i01.9091

Keywords:

Learner/User profile, SPOCs, MOOCs, video Clickstream analysis, Recommendation, Personalization, Bayesian method, Clusters, k-means al-gorithm

Abstract


In the present paper, we address to construct a structured user profile in a Small Private Online Course (SPOC) based on user’s video clickstream analysis. We adopt an implicit approach to infer user’s preferences and experience difficulty based on user’s video sequence viewing analysis at the click-level as Play, Pause, Move forward… the Bayesian method is used in order to infer implicitly user’s interests. Learners with similar clickstream behavior are then segmented into clusters by using the unsupervised K-Means clustering algorithm. Videos that could meet the individual learner interests and offer a best and personalized experienced learning can therefore be recommended for a learner while enrolling in a SPOC based on his videos interactions and exploiting similar learners’ profiles.

Author Biographies

Naima Belarbi, Faculty of Sciences Ben M'Sik Casablanca, Hassan II University - Casablanca, Morocco

Laboratory of Technological Information and Modelisation (LTIM)

Nadia Chafiq, Faculty of Sciences Ben M'Sik Casablanca, Hassan II University - Casablanca, Morocco

Multidisciplinary Laboratory in Sciences and Information, Communication, and Education Technology (LAPSTICE) - Faculty of Sciences Ben M'Sik, University Hassan II - Casablanca, Morocco

Mohammed Talbi, Faculty of Sciences Ben M'Sik Casablanca, Hassan II University - Casablanca, Morocco

Laboratory of Analytical Chemistry and Physical Chemistry of Materials - Faculty of Sciences Ben M'Sik, University Hassan II - Casablanca, Morocco; Observatory of Research in Didactics and University Pedagogy (ORDIPU).Faculty of Sciences Ben M'Sik, University Hassan II - Casablanca, Morocco

Abdelwahed Namir, Faculty of Sciences Ben M'Sik Casablanca, Hassan II University - Casablanca, Morocco

Laboratory of Technological Information and Modelisation (LTIM) Faculty of Sciences Ben M'Sik, University Hassan II - Casablanca, Morocco

Elhabib Benlahmar, Faculty of Sciences Ben M'Sik Casablanca, Hassan II University - Casablanca, Morocco

Laboratory of Technological Information and Modelisation (LTIM) Faculty of Sciences Ben M'Sik, University Hassan II - Casablanca, Morocco

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Published

2019-01-17

How to Cite

Belarbi, N., Chafiq, N., Talbi, M., Namir, A., & Benlahmar, E. (2019). User Profiling in a SPOC: A method based on User Video Clickstream Analysis. International Journal of Emerging Technologies in Learning (iJET), 14(01), pp. 110–124. https://doi.org/10.3991/ijet.v14i01.9091

Issue

Vol. 14 No. 01 (2019)

Section

Papers