A Vision of Teaching and Learning with AI

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

    2 Citations (Scopus)
    321 Downloads (Pure)

    Abstract

    Rapid development of AI technologies with breakthroughs in algorithmic machine learning and autonomous decision making have generated unprecedented opportunities for technological innovation. There is consensus from policy report that in the next years AI could revolutionise the way teaching and learning is designed and delivered to students leading to seamless intelligent services that are more tailored to student’s needs and interests. Current impetus on AI-based research in education has mainly focused on a knowledge-based approach inherently prevalent in Intelligent Tutoring Systems employed in specific domains. The aim of this paper is to proliferate a compendious framework that classifies teaching practice with a spectrum of AIED applications and tools. The framework acts as a point of departure for teachers that envisage to use AI for enhancing the way learning and teaching is manifested. It may also serve as a blueprint for AIED developers to design AIED systems that focus on specific teaching and learning instances.
    Original languageEnglish
    Title of host publication2022 IEEE Global Engineering Education Conference (EDUCON)
    PublisherIEEE
    Pages1796-1803
    Number of pages8
    ISBN (Electronic)978-1-6654-4434-7
    ISBN (Print)978-1-6654-4435-4
    DOIs
    Publication statusPublished - 11 May 2022
    Event2022 IEEE Education Engineering - Tunis, Tunisia
    Duration: 28 Mar 202231 Mar 2022

    Publication series

    NameIEEE Global Engineering Education Conference, EDUCON
    Volume2022-March
    ISSN (Print)2165-9559
    ISSN (Electronic)2165-9567

    Conference

    Conference2022 IEEE Education Engineering
    Abbreviated title(EDUCON)
    Country/TerritoryTunisia
    CityTunis
    Period28/03/2231/03/22

    Keywords

    • Artificial intelligence
    • Education
    • technology-enhanced learning

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    • Reframing Digital Capabilities in Higher Education

      Papageorgiou, V., Beer, N., Bryant, P., Lameras, P. & Varga-Atkins, T., Jun 2024, Inspire: Learning for Teaching in Higher Education. McNamara, A., Mahon, D., Papageorgiou, V. & Ramdeo, J. (eds.). Nova Science Publshers, 17 p. (Education in a Competitive and Globalizing World).

      Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

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