This book explores the transformative impact of generative artificial intelligence (Gen AI) on teaching and learning, examining how recent advancements in Gen AI are revolutionizing educational practices across disciplines. The book is organized into three parts: an overview of Gen AI in education, its application in diverse educational contexts, and future perspectives on how educators and Gen AI can interface.
The first part addresses the pressing concerns within the educational landscape, both the bridges Gen AI 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 Gen AI 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 Gen AI 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.
Tabella dei contenuti
Part I. Theoretical and Applied Aspects.- Chapter 1 Chat GPT in Higher Education: A Theoretical Perspective Balancing Individual and Institutional Interests.- Chapter 2 Exploring the Role of Chat GPT in Academic Research and Writing: A Student Centered Study.- Chapter 3 Unraveling the potential of Chat GPT 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 Chat GPT 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 Chat GPT 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 of Chat GPT 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 Chat GPT and Generative AI.- Chapter 15 Teaching Creative Writing with AI: Theory and Case Study.
Circa l’autore
Prof. Mohamed Lahby is Associate Professor at the Higher Normal School (ENS) University Hassan II of Casablanca, Morocco. His Ph D in Computer Science from Faculty of Sciences and Technology of Mohammedia, University Hassan II of Casablanca, in 2013. His research interests are wireless communication and network, mobility management, Qo S/Qo E, Internet of things, Smart cities, Optimization and Machine learning. He has published more than 60 papers (book chapters, international journals, and conferences), 10 edited books, and 1 authored book. He has served and continues to serve on executive and technical program committees of numerous international conferences such as IEEE PIMRC, ICC, NTMS, IWCMC, WINCOM, ISNCC. He also referees many prestigious Elsevier journals: Ad Hoc Networks, Applied Computing and Informatics and International journal of disaster risk reduction. He organized and participated more than 40 conferences and workshops. He is the chair of many international workshops and special sessions such as MLNGSN’19, CSPSC’19, MLNGSN’20, MLNGSN’21, AI2SC ’20, WCTCP’20, CIOT’22 and ISGTA‘23.
Prof. Yassine Maleh is an Associate Professor of Cybersecurity and IT Governance at Sultan Moulay Slimane University, Morocco. He is the founding chair of IEEE Consultant Network Morocco and founding president of the African Research Center of Information Technology & Cybersecurity. He is a senior member of IEEE and a member of the International Association of Engineers IAENG and The Machine Intelligence Research Labs. Dr Maleh has made contributions in the fields of information security and privacy, Internet of things security, wireless and constrained networks security. His research interests include information security and privacy, Internet of things, networks security, information system, and IT governance. He has published over than 140 papers (book chapters, international journals, and conferences/workshops), 30 edited books, and 5 authored books. He is the editor-in-chief of the International Journal of Information Security and Privacy (IJISP), and the International Journal of Smart Security Technologies (IJSST). He serves as an associate editor for IEEE Access (2019 Impact Factor 4.098), the International Journal of Digital Crime and Forensics (IJDCF), and the International Journal of Information Security and Privacy (IJISP). He is a series editor of Advances in Cybersecurity Management, by CRC Taylor & Francis. He was also a guest editor of many special issues in IEEE Transactions on industrial informatics, IEEE Engineering Management Review, Big Data Journal, Sensors, etc…. He has served and continues to serve on executive and technical program committees and as a reviewer of numerous international conferences and journals such as Elsevier Ad Hoc Networks, IEEE Network Magazine, IEEE Sensor Journal, ICT Express, and Springer Cluster Computing. He was the Publicity chair of BCCA 2019 and the General Chair of the MLBDACP 19 symposium and ICI2C’21 Conference. He received Publons Top 1% reviewer award for 2018 and 2019.
Prof. Antonio Bucchiarone is a Senior Researcher in the Motivational Digital Systems (Mo Di S) unit at Fondazione Bruno Kessler (FBK) in Trento, Italy. His main research interests include: Self-Adaptive (Collective) Systems, Domain Specific Languages for Socio-Technical Systems, Smart Mobility and Multi-Agent based modeling and simulation. He has been actively involved in various European research projects in the fields of Self-Adaptive Socio-Technical Systems, Smart Mobility and Service-Oriented Computing. He was the General Chair of the 12th IEEE International Conference on Self-Adaptive and Self Organizing Systems (SASO 2018) and he is an Associate Editor of the IEEE Transactions on Intelligent Transportation Systems (T-ITS) Journal, the IEEE Software Journal and the IEEE Technology and Society Magazine.
Prof. Elisa Schaeffer is an Associate Professor of Applied Digital Intelligence at the School of Continuing Studies of Mc Gill University in Canada. She has a keen interest in computational intelligence, and her research explores potential applications of graph theory and machine learning on topics from areas such as social sciences, medicine, economics, and forestry. She is passionate about digital learning, real-time and asynchronous, and an early adopter of emerging software and hardware solutions to facilitate teaching and research, especially open-source solutions.
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