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        GenAI in Higher Education

        Redefining Teaching and Learning

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        Author(s)
        Illingworth, Sam
        Forsyth, Rachel
        Language
        English
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        Abstract
        This open access book provides practical guidance for higher education professionals looking to use Generative Artificial Intelligence (GenAI) technologies. Blending theoretical grounding with real-world examples and case studies, it gives step-by-step guidance on how to evaluate, select, and implement GenAI technologies in teaching, learning, assessment, and student support. It covers topics including automating administrative processes, adapting learning resources, and critiquing outputs. Each chapter includes reflective exercises and further reading lists and shows how AI can enhance accessibility, efficiency, and creativity in higher education. Alongside this, the many challenges and ethical considerations of using AI are introduced, including issues around plagiarism, quality control, and the need to establish governance protocols. The ebook editions of this book are available open access under a CC BY-NC-ND 4.0 licence on bloomsburycollections.com. Open access was funded by Lund University.
        URI
        https://library.oapen.org/handle/20.500.12657/112308
        Keywords
        Education and technology; Generative artificial intelligence; GenAI; AI and education; Digital learning; AI in higher education
        ISBN
        9781350535800, 9781350535800
        Publisher
        Bloomsbury Publishing (UK)
        Publication date and place
        London, 2026
        Imprint
        Bloomsbury Academic
        Series
        Enhancing Reflective Teaching in Higher Education,
        Classification
        Higher education, tertiary education
        Artificial intelligence
        Educational equipment and technology, computer-aided learning (CAL)
        Educational administration and organization
        Pages
        152
        Rights
        https://creativecommons.org/licenses/by-nc-nd/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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