Evaluating the impact of personalized content recommendations on informal learning from wikipedia

Heba Ismail, Boumediene Belkhouche

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    4 Citations (Scopus)

    Abstract

    Information wikis and especially Wikipedia are attracting an increasing attention for informal learning. The nature of wikis enables learners to freely navigate the learning environment and independently construct knowledge without being forced to follow a predefined learning path in accordance with the constructivist learning theory. To the best of our knowledge, no effective personalized content recommendation approach has yet been defined to support informal learning from wikis. Therefore, we propose a personalized content recommendation framework that extrapolates topical navigation graphs from learners' free navigation and integrates them with fuzzy thesauri for automatic and adaptive personalized content recommendations to support informal learning in wikis. We design user studies and conceptual knowledge rubric to evaluate the impact of personalized recommendations on learning from Wikipedia. Results show that the proposed personalized content recommendation framework generates highly relevant recommendations. Evaluation of informal learning reveals that users who use Wikipedia with personalized recommendations can achieve higher scores on conceptual knowledge assessment compared to those who use Wikipedia without recommendations. Learners who use Wikipedia with personalized recommendations are able to utilize larger number of concepts and are able to make comparisons and state relations between concepts.

    Original languageEnglish
    Title of host publicationProceedings of 2019 IEEE Global Engineering Education Conference, EDUCON 2019
    EditorsSebastian Schreiter, Alaa K. Ashmawy
    PublisherIEEE Computer Society
    Pages943-952
    Number of pages10
    ISBN (Electronic)9781538695067
    DOIs
    Publication statusPublished - Apr 2019
    Event10th IEEE Global Engineering Education Conference, EDUCON 2019 - Dubai, United Arab Emirates
    Duration: Apr 9 2019Apr 11 2019

    Publication series

    NameIEEE Global Engineering Education Conference, EDUCON
    VolumeApril-2019
    ISSN (Print)2165-9559
    ISSN (Electronic)2165-9567

    Conference

    Conference10th IEEE Global Engineering Education Conference, EDUCON 2019
    Country/TerritoryUnited Arab Emirates
    CityDubai
    Period4/9/194/11/19

    Keywords

    • Content recommendations
    • Informal learning
    • Personalized content recommendations
    • Structural recommendations
    • Wikipedia
    • Wikis

    ASJC Scopus subject areas

    • Engineering(all)
    • Information Systems and Management
    • Education

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