05744nam a22005775i 4500 978-3-031-65691-0 DE-He213 20251030113111.0 cr nn 008mamaa 240928s2024 sz | s |||| 0|eng d 9783031656910 978-3-031-65691-0 10.1007/978-3-031-65691-0 doi LB1028.43-1028.75 JNV bicssc EDU039000 bisacsh JNV thema General Aspects of Applying Generative AI in Higher Education [electronic resource] : Opportunities and Challenges / edited by Mohamed Lahby, Yassine Maleh, Antonio Bucchiarone, Satu Elisa Schaeffer. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. XX, 431 p. 102 illus., 89 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Part I. Theoretical and Applied Aspects -- Chapter 1 ChatGPT in Higher Education: A Theoretical Perspective Balancing Individual and Institutional Interests -- Chapter 2 Exploring the Role of ChatGPT in Academic Research and Writing: A Student Centered Study -- Chapter 3 Unraveling the potential of ChatGPT in Higher Education: From Theory to Practice -- Part II Generative AI for Personalized Learning and Adaptive Systems -- Chapter 4 Personalized Learning Paths: Gamification and Generative AI in Action with Visual Studio Code Polyglot Notebooks -- Chapter 5 Devising ChatGPT exploitation scenarios to promote asynchronous collaborative learning in e learning environments at the university level -- Chapter 6 Unveiling challenges for designing an artificial intelligence driven personalized and adaptive E learning model for forensic accounting education -- Part III. Generative AI for Virtual Teaching Assistants -- Chapter 7 Transformative Virtual Teaching Assistants: Empowering Technology Integration in Higher Education -- Chapter 8 Using ChatGPT as a virtual assistant in the design studio -- Chapter 9 Virtual Teaching Assistants: Design Proposal for Curriculum Oriented Intelligent Assistant in Public sector Accounting education in Business higher institutions -- Part IV. Data Privacy and Ethical Considerations -- Chapter 10 AI Policymaking: Relevance & Impact in Higher Education -- Chapter 11 Generative Artificial Intelligence and the Spread of Bias in Higher Education -- Chapter 12 Bridging Education Communities in a Digital World: Exploring the Potential and Risks ofChatGPT in Modern Education -- Part V. Futuristic Ideas and Case Studies -- Chapter 13 GPT-Powered Automated Feedback Systems In Higher Education -- Chapter14 Exploring the Future of Higher Education: A Foresight Approach to the Evolution of ChatGPT and Generative AI -- Chapter 15 Teaching Creative Writing with AI: Theory and Case Study. This book explores the transformative impact of generative artificial intelligence (GenAI) on teaching and learning, examining how recent advancements in GenAI are revolutionizing educational practices across disciplines. The book is organized into three parts: an overview of GenAI in education, its application in diverse educational contexts, and future perspectives on how educators and GenAI can interface. The first part addresses the pressing concerns within the educational landscape, both the bridges GenAI allows us to build and the remaining as well as the emerging gaps. The middle part explores specific academic disciplines, such as history, sports medicine, mathematics, engineering, and the humanities, dissecting the influence of GenAI on each. The final part looks ahead, discussing the ethical implications, the evolving role of prompting, and innovative frameworks for personalized learning. By presenting a balanced view of the opportunities that are now within reach through GenAI and the challenges such leaps pose to the way we learn and teach, this book allows interested educators to learn from the early-adopting contributors to fruitfully and responsibly integrate such technologies into their pedagogical practices. It serves as a resource for anyone interested in the future of educational practices and research of education, offering insights that can spark further exploration and discussion within the academic community and educational policy makers. Education Data processing. Educational technology. 57244 Education, Higher. Artificial intelligence. 58441 Computers and Education. Digital Education and Educational Technology. 68557 Higher Education. 68980 Artificial Intelligence. 58441 Lahby, Mohamed. editor. edt http://id.loc.gov/vocabulary/relators/edt 85149 Maleh, Yassine. editor. edt http://id.loc.gov/vocabulary/relators/edt 57228 Bucchiarone, Antonio. editor. edt http://id.loc.gov/vocabulary/relators/edt 85150 Schaeffer, Satu Elisa. editor. edt http://id.loc.gov/vocabulary/relators/edt 85151 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031656903 Printed edition: 9783031656927 Printed edition: 9783031656934 https://doi.org/10.1007/978-3-031-65691-0 ZDB-2-EDA ZDB-2-SXED 63783 63783