Next Generation AI-Driven Education Leveraging Generative AI and Language Models
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Lecture Notes in Educational Technology
Next Generation AI-Driven Education
Leveraging Generative AI and Language Models
Anis Koubaa | Mohamed Jemni
This book examines how artificial intelligence (AI), particularly generative AI (GenAI) and large language models (LLMs) such as ChatGPT, is integrated into educational methodologies. It demonstrates how these technologies, through personalized learning paths and scalable educational content, can substantially augment teaching and learning experiences. Additionally, this book provides actionable guidance and best practices for integrating GenAI and LLMs into educational settings, preparing stakeholders for future advancements in AI, and aiding educational institutions in adapting to and benefiting from emerging technologies. Last but not least, this book facilitates a balanced understanding of the ethical aspects of AI in education, promoting responsible and equitable use of these technologies. It serves as an essential reference for educators and AI professionals eager to understand and apply the latest AI advancements in education.
Prof. Anis Koubaa is Full Professor of computer science and Director of the Robotics and Internet-of-Things Lab at Prince Sultan University (PSU), Saudi Arabia. With a deep focus on generative AI, robotics, and large language models, he has led advancements in both academic and practical applications of AI technologies. His work has enhanced the educational experience and bridged the gap between theoretical AI research and real-world applications. His contributions have been widely acknowledged, earning him multiple awards, including the AI Leadership and Best AI Product Awards.
Professor Mohamed Jemni is Expert in educational technology with a specific focus on integrating AI in learning environments. As Professor and Leader of the Arab League of Educational, Cultural and Scientific Organisation (ALECSO), he has spearheaded numerous initiatives to enhance educational outcomes across the Arab region through innovative technology. His research has extensively contributed to understanding and implementing AI-driven educational tools, positioning him as a key contributor to the evolution of modern education. His work is instrumental in shaping policies and frameworks incorporating AI to revolutionize learning and teaching methodologies.
| Publication Date: | 01 February 2027 |
| Publisher: | Springer Nature Singapore |
| Imprint: | Springer |
| ISBN-13: | 9789819262243 |
| Format: | Hardback |
| Page Count: | 380 |