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            Artificial Intelligence Transforming Higher Education Volume 2

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            Contributor(s)
            Oliver, Erna (editor)
            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://directory.doabooks.org/handle/20.500.12854/173576
            Keywords
            Higher education; Artificial intelligence; 4IR; Ethics
            DOI
            10.64449/9780639889917
            ISBN
            9780639889917, 9780639889900, 9780639889931, 9780639889924
            Publisher
            UJ Press
            Publication date and place
            Johannesburg, 2025
            Imprint
            UJ Press
            Classification
            Educational administration and organization
            Pages
            330
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            • logo EUEuropean Union
              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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