Supporting Users of Open Online Courses with Recommendations: an Algorithmic Study

Soude Fazeli, Enayat Rajabi, Leonardo Lezcano, Hendrik Drachsler, Peter Sloep

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

    Abstract

    Almost all studies on course recommenders in online platforms target closed online platforms that belong to a University or other provider. Recently, a demand has developed that targets open platforms. Such platforms lack rich user profiles with content metadata. Instead they log user interactions. We report on how user interactions and activities tracked in open online learning platforms may generate recommendations. We use data from the OpenU open online learning platform in use by the Open University of the Netherlands to investigate the application of several state-of-the-art recommender algorithms, including a graph-based recommender approach. It appears that user-based and memory-based methods perform better than model-based and factorization methods. Particularly, the graph-based recommender system outperforms the classical approaches on prediction accuracy of recommendations in terms of recall.
    Original languageEnglish
    Title of host publicationThe 16th IEEE International Conference on Advanced Learning Technologies (ICALT 2016)
    Subtitle of host publicationAdvanced Technologies for Supporting Open Access to Formal and Informal Learning
    EditorsJ. Michael Spector, Chin Chung Tsai, Demetrios Sampson, Kinshuk, Ronghai Huang, Nian-Shing Chen, Paul Resta
    PublisherConference Publishing Services
    Pages423-427
    Number of pages5
    ISBN (Electronic)978-1-4673-9041-5
    ISBN (Print)978-1-4673-9041-5
    DOIs
    Publication statusPublished - 2016
    EventThe 16th IEEE International Conference on
    Advanced Learning Technologies (ICALT 2016)
    : Advanced Technologies for Supporting Open Access to Formal and Informal Learning
    - Austin, United States
    Duration: 25 Jul 201628 Jul 2016
    https://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7756054

    Conference

    ConferenceThe 16th IEEE International Conference on
    Advanced Learning Technologies (ICALT 2016)
    Abbreviated titleICALT 2016
    Country/TerritoryUnited States
    CityAustin
    Period25/07/1628/07/16
    Internet address

    Keywords

    • recommender systems
    • collabortive filtering
    • open online course
    • performance
    • accuracy
    • matrix factorization

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