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by Kayoko Enomoto (Editor), Richard Warner (Editor), Claus Nygaard (Editor)
As Generative AI accelerates its impact on the educational landscape, Generative Artificial Intelligence in Higher Education provides a visionary roadmap for university professionals to navigate this transformative era.
Through inspiring case studies, expert analysis, and well-grounded learning theories, this book reveals how Generative AI can empower educators to personalise learning, promote inclusivity, and elevate pedagogical innovation. At the same time, it tackles the ethical dilemmas and practical challenges posed by adopting AI, offering actionable strategies for institutions committed to progress and integrity.
Key highlights include: Practical insights into integrating AI tools to enhance student engagement and learning outcomes - Theoretical frameworks to guide AI's responsible and effective use in education - Strategies for institutions to scale AI, improve efficiency, and remain globally competitive. With contributions from leading scholars worldwide, this book is a vital resource for academics, administrators, and policymakers who aspire to harness AI's potential while upholding the principles of ethics, equity, and excellence in education.
Why should you read this book? Because AI will transform the future of higher education. As AI reshapes the academic landscape, this book equips you with the knowledge and tools to lead your institution and students into an innovative and equitable future. Prepare to engage, inspire, and lead in the AI-enabled academic era.
