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.
"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. It also highlights the design and experimentation of AI technologies through proof-of-concept projects. Collectively, these contributions provide 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, pedagogical, and institutional challenges raised by AI. It is also valuable for postgraduate or graduate students and scholars in education, technology, and ethics, as well as for those supporting institutions in responding to emerging technologies in teaching and learning." Comprehensively explores artificial intelligence and its impact on academic integrity Provides insights on integrity challenges and advantages of AI technologies in enhancing teaching, learning and research Covers various timely and relevant topics
Autor*in
Ben Kei Daniel
Themen in »Artificial Intelligence and Academic Integrity«