Teaching and Learning in Higher Education with Generative AI : Interdisciplinary Case Studies From Engineering, Management, Linguistics, and Psychology

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Teaching and Learning in Higher Education with Generative AI : Interdisciplinary Case Studies From Engineering, Management, Linguistics, and Psychology
Περιγραφή: This interdisciplinary book demonstrates how generative artificial intelligence (GenAI) changes higher education across diverse academic fields, including philology, management, engineering, and psychology. Drawing on empirical case studies, surveys, and experiments, this book combines theoretical and practical perspectives to explore AI's impact on learning and cognitive development. Each chapter offers discipline-specific analysis of how GenAI reshapes pedagogy – supporting multilingual education, enhancing reflective thinking, fostering self-regulated learning, and encouraging ethical awareness. By comparing case studies from varied academic and cultural contexts, this book highlights the opportunities and challenges of AI adoption, emphasizing responsible, creative, and critically informed approaches to academic innovation. It will appeal to researchers of AI in Higher Education across disciplines. Key features:- Explains how GenAI transforms higher education across a variety of disciplines, from logistics to psychology.- Includes practical and theoretical insights into AI's role in reshaping pedagogy, fostering critical thinking, and supporting multilingual education.- Provides a global perspective on the opportunities and challenges of AI adoption through diverse case studies and empirical research.
Συγγραφείς: Ida Skubis, Krzysztof Wodarski, Jolanta Wodarska, Teresa Sanchez-Gutierrez
Resource Type: eBook.
Θέματα: Case studies, Generative artificial intelligence in higher educa, Education, Higher--Effect of technological innov, Artificial intelligence--Educational application
Categories: COMPUTERS / Artificial Intelligence / General, BUSINESS & ECONOMICS / Management, BUSINESS & ECONOMICS / Production & Operations Management, EDUCATION / Schools / Levels / Higher, EDUCATION / Computers & Technology, PSYCHOLOGY / Cognitive Psychology & Cognition
Βάση Δεδομένων: eBook Index
FullText Text:
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  Data: This interdisciplinary book demonstrates how generative artificial intelligence (GenAI) changes higher education across diverse academic fields, including philology, management, engineering, and psychology. Drawing on empirical case studies, surveys, and experiments, this book combines theoretical and practical perspectives to explore AI's impact on learning and cognitive development. Each chapter offers discipline-specific analysis of how GenAI reshapes pedagogy – supporting multilingual education, enhancing reflective thinking, fostering self-regulated learning, and encouraging ethical awareness. By comparing case studies from varied academic and cultural contexts, this book highlights the opportunities and challenges of AI adoption, emphasizing responsible, creative, and critically informed approaches to academic innovation. It will appeal to researchers of AI in Higher Education across disciplines. Key features:- Explains how GenAI transforms higher education across a variety of disciplines, from logistics to psychology.- Includes practical and theoretical insights into AI's role in reshaping pedagogy, fostering critical thinking, and supporting multilingual education.- Provides a global perspective on the opportunities and challenges of AI adoption through diverse case studies and empirical research.
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              Type: published
              Y: 2026
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