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Artificial Intelligence and Academic Integrity
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This book brings together researchers and educators to explore the future of teaching and learning in the era of AI. Comprising seven sections, the volume includes philosophical reflections, historical analyses, empirical studies, and practical case-based insights. Collectively, these contributions offer theoretical depth, strategic guidance, and evidence-informed approaches for navigating the benefits and risks of AI while upholding academic integrity in a rapidly changing educational landscape.
The book is aimed at a wide audience, including researchers, educators, instructional designers, policymakers, and higher education leaders who are addressing the ethical, teaching, and institutional challenges raised by AI. It is also useful for postgraduate students and scholars in education, technology, and ethics, and for those helping institutions respond to new technologies in teaching and learning.
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