Generative Artificial Intelligence and Large Language Models in Higher Education: Applications, Challenges, Ethical Concerns, and Future Directions

Generative Artificial Intelligence and Large Language Models in Higher Education: Applications, Challenges, Ethical Concerns, and Future Directions explores the growing role of generative artificial intelligence (AI) and large language models (LLMs) in transforming higher education. The book examines their applications in teaching, learning, research, academic writing, assessment, and personalized education. It highlights how AI-powered tools can support educators, enhance student engagement, improve access to learning resources, and facilitate academic productivity. At the same time, it addresses key challenges, including academic dishonesty, data privacy, algorithmic bias, misinformation, and the potential overdependence on AI-generated content. The book also discusses ethical considerations, institutional policies, responsible AI use, and the importance of maintaining human judgment in educational practices. Furthermore, it explores future directions, emerging technologies, and strategies for integrating AI into higher education effectively. This book is a valuable resource for educators, researchers, students, academic administrators, and policymakers interested in understanding and responsibly adopting AI-driven educational innovations.