This edited volume showcases how generative AI—especially large language and multimodal models—is revolutionizing education. Discover how these technologies personalize learning, spark creativity, and transform assessment, while addressing critical issues of trust, ethics, and fairness. Featuring leading voices from education and AI, the book explores real-world applications, innovative classroom practices, and the evolving role of teachers in AI-driven environments. With peer-reviewed chapters presented at an AIED workshop, this volume is a must-read for educators, researchers, and practitioners seeking to harness AI for inclusive, future-ready learning.
Xiaoming Zhai
Generative AI applications in education Large language models for personalized learning AI-driven assessment and evaluation in classrooms Ethical challenges of AI in education Future of teaching with generative AI technologies AI-based content generation for STEM education Inclusive learning environments powered by AI Explainability and trust in educational AI systems Multimodal AI models in educational practice Teacher roles in AI-integrated classrooms AI personalization strategies for student learning Interdisciplinary perspectives on AI in education Responsible and ethical use of AI in schools AI-enhanced creativity and higher-order thinking Global research on generative AI in education