An integrated system to assist personalized learning based on gradual adaption recommendation model

Jian Chen, Qun Jin, Jianhua Ma, Runhe Huang

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

    1 Citation (Scopus)

    Abstract

    This study presents an integrated adaptive system to support and facilitate individual learning based on a recommendation model that gradually adapts to a learner's needs and information access behaviors, including various learning related activities, over different time spans. In this paper, we focus on describing the integrated framework and discussing the design and implementation issues of the prototype system for personalized learning support.

    Original languageEnglish
    Title of host publication2010 9th International Conference on Information Technology Based Higher Education and Training, ITHET 2010
    Pages300-306
    Number of pages7
    DOIs
    Publication statusPublished - 2010
    Event2010 9th International Conference on Information Technology Based Higher Education and Training, ITHET 2010 - Cappadocia
    Duration: 2010 Apr 292010 May 1

    Other

    Other2010 9th International Conference on Information Technology Based Higher Education and Training, ITHET 2010
    CityCappadocia
    Period10/4/2910/5/1

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    Keywords

    • Adative learning
    • Collaboative learning
    • Gradual adaption recommendation
    • Learning object
    • Personalized learning

    ASJC Scopus subject areas

    • Information Systems
    • Education

    Cite this

    Chen, J., Jin, Q., Ma, J., & Huang, R. (2010). An integrated system to assist personalized learning based on gradual adaption recommendation model. In 2010 9th International Conference on Information Technology Based Higher Education and Training, ITHET 2010 (pp. 300-306). [5480085] https://doi.org/10.1109/ITHET.2010.5480085