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        Artificial Intelligence Transforming Higher Education Volume 2

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        Contributor(s)
        Oliver, Erna (editor) cc
        Language
        English
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        Abstract
        When the rhythm of the music changes, the dance steps must change also. Step onto the cusp of a new era in teaching and learning. Informed by leading innovators in education technology, this book offers a clear, practical roadmap to turn the promises of/about AI and LLMs into campus-ready solutions. Discover how to harness intelligent tools without losing sight of the human connections that define higher education. Inside these books you will learn how to• craft personalised learning experiences that enhance student engagement and success;• safeguard academic integrity while embracing AI-driven assessments;• empower yourselves with intuitive, low-barrier AI tools for content creation and feedback;• leverage data analytics to close equity gaps and support at-risk students; and• build an ethical AI and LLM strategy that aligns with higher educational missions and values.Whether you are an educator or instructor rethinking lesson design, or a manager streamlining support services, these volumes provide insights and guidance to lead change that will transform higher education culture, elevate outcomes, and equip graduates for work in an AI-infused world.
        URI
        https://oapen-dev.siscern.org/handle/20.500.12657/109115
        Keywords
        Higher education; Artificial intelligence; 4IR; Ethics
        DOI
        10.64449/9780639889917
        ISBN
        9780639889917, 9780639889917, 9780639889900, 9780639889931, 9780639889924
        Publisher
        UJ Press
        Publisher website
        https://ujonlinepress.uj.ac.za/index.php/ujp
        Publication date and place
        Johannesburg, 2025
        Imprint
        UJ Press
        Classification
        Educational administration and organization
        Pages
        330
        Rights
        https://creativecommons.org/licenses/by/4.0
        • Imported or submitted locally

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        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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