The four business models for AI adoption in education: Giving leaders a destination for the digital transformation journey

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

    1 Citation (Scopus)

    Abstract

    Effective digital transformation requires new technology to work in harmony with the people towards a common goal. All the universities do not have the same capabilities currently across these three parameters and may not be able, or willing, to develop them in the same way. Therefore, several alternative models conducive to digital transformation and AI adoption must be identified. A university must not have to go on this journey without a roadmap. There should be several education business models that optimize AI adoption to choose from. Identifying the destination in advance reinforces the trust between the digital transformation leader and the followers. This research identifies four education business models that are optimized for AI. The first is focus and disaggregate. The second is to keep the existing model but enhance it with AI. The third is an educator expanding beyond their current model and the fourth is a disruptor entering education.

    Original languageEnglish
    Title of host publicationProceedings of the 2022 IEEE Global Engineering Education Conference, EDUCON 2022
    EditorsMohammed Jemni, Ilhem Kallel, Abdeljalil Akkari
    PublisherIEEE Computer Society
    Pages1868-1872
    Number of pages5
    ISBN (Electronic)9781665444347
    DOIs
    Publication statusPublished - 2022
    Event13th IEEE Global Engineering Education Conference, EDUCON 2022 - 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

    Conference13th IEEE Global Engineering Education Conference, EDUCON 2022
    Country/TerritoryTunisia
    CityTunis
    Period28/03/2231/03/22

    Keywords

    • artificial intelligence
    • business model
    • digital transformation
    • education

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