# Teaching & Assessment AI is changing how universities teach, assess work and support students. This theme connects assessment and curriculum design with staff development, academic integrity and student experience, providing context for our experiments with assisted feedback and co creating learning processes. ### [[Student Generative Artificial Intelligence Survey 2026]] A survey of UK undergraduates maps widespread AI use, uneven institutional support and students’ mixed experiences, providing evidence for curriculum, assessment and AI literacy planning. ### [[Reconsidering assessment for the ChatGPT era. QAA advice on developing sustainable assessment strategies]] QAA guidance on how to redesign assessment around learning outcomes, authentic tasks and critical AI literacy while maintaining standards and a supportive learning environment. ### [[Design learning experiences students cannot outsource to AI]] Practical classroom strategies use prediction, comparison, revision and retrieval to make students’ reasoning visible and keep learning active. ### [[Don’t ban GenAI_teach students to question it]] A reusable seminar activity asks students to audit and rewrite AI-generated answers, using evidence and a change log to develop critical judgement. ### [[From Novelty to Normalisation_Tracking Changing Perceptions of AI in Higher Education, 2024–2026]] An arXiv paper based on three survey waves at Ulster University traces the widening gap between student AI use and staff concerns, with implications for policy and staff development. ## Further Reading: [[Further Reading - Teaching & Assessment]]