AI Trends in Teacher and Student Training—2nd Edition

Dear Colleagues,

Following the success of the First Edition, this Second Edition responds to the rapid evolution of Artificial Intelligence (AI) in education, driven by recent advances in generative AI, large language models (LLMs), intelligent agents, multimodal AI, learning analytics, and adaptive educational systems. These developments have transformed teaching, learning, assessment, educational management, and research while creating new technical, pedagogical, ethical, and societal challenges that justify renewed scientific attention.

This Topic welcomes original contributions addressing the design, development, implementation, validation, and evaluation of AI-driven technologies for teacher education and student learning across all educational levels. We particularly encourage research on intelligent tutoring systems, AI-based assessment, learning analytics, explainable and trustworthy AI, human–AI interaction, multimodal learning environments, educational data mining, adaptive learning systems, and AI-supported educational decision-making. Particular attention is given to AI applications that support teachers’ professional development, enhance student learning and personalized learning experiences, and promote inclusive, accessible, and equitable education for students with disabilities and diverse learning needs through assistive AI technologies and Universal Design for Learning (UDL). Contributions addressing AI literacy, responsible AI, ethics, transparency, privacy, and academic integrity are also encouraged.

By bringing together interdisciplinary research from computer science, artificial intelligence, learning sciences, and education, this Second Edition aims to identify emerging research directions and advance the development of trustworthy, effective, inclusive, and human-centred AI technologies that improve teaching, learning, and educational opportunities worldwide.

Dr. Marta Montenegro-Rueda
Dr. José Fernández-Cerero
Topic Editors