In recent years, the integration of Artificial Intelligence (AI) into the field of education has revolutionized the way we teach, learn, and assess knowledge. This Special Issue explores the transformative potential of AI-driven technologies in education, focusing on innovative applications, pedagogical advancements, and the ethical, social, and technical challenges that arise in the process.

We invite cutting-edge research, case studies, and theoretical explorations that address various aspects of AI in education, including but not limited to:

· Personalized learning and intelligent tutoring systems

· Adaptive assessment and AI-supported feedback mechanisms

· AI-enhanced curriculum design and instructional strategies

· Natural Language Processing (NLP) in educational content generation and student interaction

· AI-based learning analytics and predictive models to enhance student outcomes

· The role of AI in reducing educational inequalities and fostering inclusivity

· Ethical considerations and implications of AI in educational settings

· Future trends and challenges in AI-enhanced education

· This Special Issue aims to bridge the gap between AI research and educational practice, offering a platform for researchers, practitioners, and policy-makers to share insights and innovations. Contributions that highlight empirical findings, interdisciplinary approaches, and scalable solutions are particularly welcome.

By showcasing the latest advancements, this Special Issue seeks to inspire a deeper understanding of AI’s role in shaping the future of education and to foster collaboration between academia, industry, and educational institutions.