Next Generation AI-Driven Education

Leveraging Generative AI and Language Models
Erscheinungsjahr 2026
ISBN: 978-981-9262-24-3
Verlag: Springer

Buch, Englisch, 304 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Lecture Notes in Educational Technology

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.

Zielgruppe

Research

Autoren/Hrsg.

Koubaa, Anis

Jemni, Mohamed

Fachgebiete

• Sozialwissenschaften Pädagogik Pädagogik
• Sozialwissenschaften Pädagogik Lehrerausbildung, Unterricht & Didaktik E-Learning, Bildungstechnologie

Inhaltsverzeichnis

Foundations of Next-Generation AI in Education.- Introduction to Next-Generation AI in Education.- Fundamentals of Generative AI and Large Language Models.- Implementing AI in Educational Practices.- State of the Art and Best Practices in Generative AI in Education.- Personalizing Learning with Next-Generation AI.- Content Generation and Curriculum Management with Next-Generation AI.- Next-Generation AI in Assessment and Feedback.- Next-Generation AI in Educational Accreditation.- Interdisciplinary Insights and Innovations.- Cross-Disciplinary Perspectives on Next-Generation AI in Education.- Interactive Next-Generation AI Learning Tools and Technologies.- Ethical and Strategic Considerations.- Ethical Considerations and Bias Mitigation in Next-Generation AI Education.- Strategic Integration of AI Tools into Educational Frameworks.- Looking Ahead.- Future Directions and Emerging Trends in Next-Generation AI-Driven Education.

Über Autor(innen)

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.