ENGAGING AI FOR LEARNING: FROM RESEARCH FRAMEWORKS TO CLASSROOM INNOVATION

This book explores how artificial intelligence—especially large language models—is reshaping teaching, learning, and assessment across higher education and schools. It shows educators not just what AI can do, but how to use it responsibly, effectively, and ethically in authentic learning environments.Section A: Strategic Frameworks for AI-Enabled Assessment and Ethics examines how AI is transforming assessment design, language learning, and predictive analytics, while addressing academic integrity and ethical use in schools and universities. It highlights AI-supported teacher reflection and offers practical frameworks and policy guidance for educators, researchers, and academic leaders.Section B: Innovative AI Classroom Practices shows how these ideas translate into teaching. Educators demonstrate how AI can be leveraged upon to scaffold inquiry, strengthen student writing through personalised feedback, deepen reflection in the humanities, and enable creative work. Each chapter provides adaptable lesson ideas and practical strategies for classroom use.The book's structure moves from theory to practice, first providing academics with research foundations and conceptual tools to advance the field, then showing educators how to apply these insights in real classrooms. This creates a comprehensive, evidence-based guide for responsible AI use across all educational settings.