The BKO+ Track Responsible AI in Education is for university teachers who want to critically engage with the impact of generative AI on higher education. Participants explore how AI affects learning, assessment, critical thinking, academic writing, and self-regulated learning, while redesigning part of their own course in response to an AI-related educational dilemma. Through collaborative activities and AI Teaching Labs, educators develop practical, pedagogically grounded approaches that can be directly applied within their own teaching context.
Intended learning outcome
By the end of this BKO+ Track, you will be able to
- Analyse and critically evaluate the opportunities, limitations, and risks of generative AI in relation to learning, assessment, teaching practices, academic integrity, and disciplinary practices within higher education.
- Design or redesign course components that address AI-related educational dilemmas using principles of constructive alignment and pedagogically grounded approaches to support responsible and meaningful AI use in teaching and assessment.
- Experiment with and reflect on AI-supported educational interventions through iterative design, peer feedback, evaluation, and justification of educational design choices using relevant literature, evidence, and scholarship on AI in education