A Conceptual Model for Game-Based Intelligent Tutoring Systems

Chris Mills, Barney Dalgarno

    Research output: Book chapter/Published conference paperConference paper

    16 Citations (Scopus)
    10 Downloads (Pure)

    Abstract

    In order to build intelligent tutoring agents within games-based learning environments, practitioners must understand the three conceptual models used within Intelligent Tutoring Systems (ITS): the expert or domain model, the student model, and the instructional model. This paper investigates the inter-relationship between these models and how they combine to provide the expected behaviour of intelligent tutoring agents by representing and managing domain knowledge, applying techniques for monitoring the progress of human learning, and the appropriate selection of instructional strategies for individualised tuition. From understanding the application of these concepts, this paper proposes bi-directional human and machine learning as necessary for effective game-based intelligent tutoring systems. A conceptual architecture for game-based learning ITS implementations using multi-agent and machine learning technologies is then outlined, and the design of Stunt Robot a system for learning Newtonian Physics concepts is presented as a case-study.
    Original languageEnglish
    Title of host publicationICT
    Subtitle of host publicationProviding choices for learners and learning
    EditorsR.J. Atkinson, C. McBeath, S K A Soong, C. Cheers
    Place of PublicationSingapore
    PublisherCentre for Educational Development, Nanyang Technological University
    Pages692-702
    Number of pages11
    ISBN (Electronic)9789810595791
    Publication statusPublished - 2007
    EventASCILITE 2017: 34th International Conference on Innovation, Practice and Research in the Use of Educational Technologies in Tertiary Education - University of Southern Queensland, Toowoomba, Queensland, Australia
    Duration: 03 Dec 201705 Dec 2017
    https://ascilite.org/2017-conference/
    https://ascilite.org/2017-conference/

    Conference

    ConferenceASCILITE 2017
    Abbreviated titleMe. Us. IT
    CountryAustralia
    CityToowoomba, Queensland
    Period03/12/1705/12/17
    Internet address

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