AI in Education Systems examines global experiences with AI in teaching and learning. Covering large language models, bilingual education, risks of uncontrolled use, and future applications, it blends international case studies and research to highlight how AI can enhance education while addressing ethical and social challenges.

This River Rapid provides a timely analysis of the state of the art and future perspectives of artificial intelligence (AI) in education. Drawing on international expertise and successful case studies, it explores both the opportunities AI creates for teaching and learning and the challenges posed by its uncontrolled use by students and schoolchildren.

The book is structured into seven research-analytic chapters authored by leading scholars from Norway, Poland, Ukraine, and the United States. Together, they present a comprehensive picture of AI’s growing role in educational systems worldwide. Topics include:

• An overview and comparative review of large language models.
• Analysis of successful AI applications in education based on global best practices.
• Strategies for bilingual education supported by AI tools.
• Risks of unsupervised AI use by pupils and students, both in education and on social media.
• The relationship between machine learning and human learning, with attention to pedagogical advances inspired by AI.
• Future directions for AI in enhancing teaching and learning processes.
• The unique dynamics of digital transformation and AI adoption in the Ukrainian education system.

By combining international perspectives with focused case studies, AI in Education Systems provides both theoretical insights and practical strategies for educators, policymakers, and researchers. It highlights AI’s potential to significantly improve learning outcomes while addressing ethical concerns, pedagogical challenges, and the importance of guiding its responsible use.