GenAI in Education
This course helps you bring fresh ideas to your teaching with generative AI. Explore how to design meaningful learning, rethink assessment, and support diverse students while making confident, informed choices about when and how AI adds value.
Course image: AI-modified
Overview
This course explores how generative AI tools such as large language models can be used within teaching, learning, and assessment in higher education. You will examine learning design - including diversity, inclusion, and personalisation - as well as ethical issues, academic integrity, and the institutional frameworks that support responsible AI use. Drawing on global research, you will learn to design learning activities and assessments that integrate generative AI effectively and inclusively into your own teaching practice.
Important: As this course is part of the ADMIT project, it is currently planned to be taken offline when the project concludes in February 2027.
Which topics will be covered?
- Introduction to genAI in education and its ethical considerations
- Designing learning with genAI in education
- Teaching competencies in the age of genAI
- Institutional preparedness for genAI in education and beyond
What will I achieve?
On completion of the course you will be able to:
- describe institutional frameworks and support services for the ethical use of generative AI in education.
- design learning goals, activities, and assessments that integrate generative AI.
- identify biases in AI-generated content and use generative AI to create inclusive, personalised course materials.
- commit to ongoing learning as generative AI continues to evolve.
Which prerequisites do I need to fulfill?
No prior expertise in generative AI is required. The course is suitable for higher education educators at all levels, from beginners to advanced users.
