The emergence of generative Artificial Intelligence (AI) presents both opportunities and challenges for higher education, requiring holistic approaches to developing students’ AI literacy. This interactive workshop addressed the critical need for a holistic integration of AI literacy at module and programme levels, supporting educators in developing comprehensive integration strategies. Drawing on the AI in teaching and learning framework (Zhou and Schofield, 2024), this session engaged Learning Developers and educators in practical approaches to embedding AI literacy across the curriculum. The framework encompassed four essential dimensions developed by Ng et al. (2023): know and understand, use and apply, create and evaluate, and AI ethics. The workshop provided participants with practical strategies through mapping learning outcomes to AI literacy dimensions, aligning teaching and learning activities with AI tools and embedding ethical considerations in AI-enhanced learning activities. Participants engaged in interactive activities to develop practical implementation plans suited to their practice/module. Drawing on two case studies (one at the module level and the other at the programme level) of the framework implementation, the session demonstrated how holistic AI integration enhances student AI literacy at a progressive level. During the workshop, participants engaged using Mentimeter to discuss linking learning outcomes, teaching activities, and AI tools, developing plans for adopting the frameworks within their own practice. This session contributed to the growing discourse on AI in higher education by providing practical, framework-based approaches to AI integration.
Schofield et al. (Tue,) studied this question.