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

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.