🎓AI in Education and Learning Technologies

AI in Education and Learning Technologies provides a practical introduction to how artificial intelligence can support teaching, learning, research and educational leadership. Relevant to a worldwide audience, the course examines useful applications alongside their limitations, helping educators and institutions make informed decisions about AI adoption.

Across twelve core lessons and a final consolidation lesson, you will explore AI assisted lesson planning, personalised learning, assessment and feedback, academic integrity, institutional governance and AI literacy. The course also covers global educational equity, special educational needs and inclusive learning, higher education and research, teacher professional development, and possible future developments in schools and universities.

Throughout the course, emphasis is placed on checking AI outputs, protecting sensitive information, maintaining fair access and evaluating whether technology improves learning. Practical examples explain how AI assistants, adaptive systems and AI agents can support educational activities while requiring appropriate oversight. Current capabilities are distinguished from future possibilities, and approaches can be adapted to different curricula, languages, resources and institutional settings.

Designed for teachers, lecturers, educational leaders, researchers, policymakers and other education professionals, this course requires no programming knowledge. By the end, you will be better equipped to identify suitable uses of AI, recognise risks, establish clear expectations and evaluate implementation while supporting independent thinking, professional judgement and meaningful relationships with learners.