Guiding you through basic to more advanced uses of GenAI.
Resources and examples to support your learning
Resources and ideas to help you teach and assess
05/01/2026
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02/01/2026
New blog article: GenAI Myths that didn't come true in 2025
David Smith is a Professor of Bioscience Education. He is a National Teaching Fellow and a Principal Fellow of the Higher Education Academy. His innovative practice has been awarded the Royal Society of Biology HE Teacher of the Year award.
(publications and outputs)
Nigel Francis focuses on enhancing immunology education. He is a National Teaching Fellow, a Principal Fellow of the Higher Education Academy, a winner of the Royal Society of Biology HE Teacher of the Year award and the British Society of Immunology's Teaching Excellence Award.
(publications and outputs)
Trust, Policy, and Pedagogy with GenAI
Why do students hide their use of GenAI when many institutions openly allow access to the technology, provided it is used openly and transparently?
The GenAI Trust Gap: Why Students Hide, Share, or Shun AI
Our recent paper on Embedding GenAI skills in a Masters program highlights key findings around a trust deficit in GenAI use. Evidence from our own work and across recent studies shows student behaviour around GenAI disclosure is shaped by three closely linked drivers: institutional policy design and enforcement (clarity, consistency, perceived fairness), social and cultural pressures (stigma, peer norms, belonging), and assessment and grading incentives (perceived penalty for disclosure, detectability).
Generative AI in higher education: Balancing innovation and integrity
Generative Artificial Intelligence (GenAI) is rapidly transforming the landscape of higher education, offering novel opportunities for personalised learning and innovative assessment methods. This paper explores the dual-edged nature of GenAI’s integration into educational practices, focusing on both its potential to enhance student engagement and learning outcomes and the significant challenges it poses to academic integrity and equity.
AI: Actual Intelligence – how embedded GenAI can promote the aims of higher education
Nigel Francis, Dom Henri and David Smith discuss how process-focused assessment and GenAI can enhance a competence-based, skills-first approach to higher education.
A 101 Short Guild to good prompt writing
Keep hearing about large language models (LLMs) such as OpenAI’s ChatGPT3.5 and GPT4, Google’s Bard and Microsoft’s Bing? Want to understand AI and even use it in your teaching but don’t know where to begin? Here’s the 101 that many academics have been asking me for, to help you harness AI’s power and utilise it more effectively!
This article discusses the implications of generative AI tools like ChatGPT for assessment in higher education. We note there are currently no reliable ways to detect AI-generated content, making it challenging to prevent academic misconduct.
Guidelines on Using AI in Academic Assessments
Generative artificial intelligence in an ethical way. A range of different assessment types are discussed with advice on how to use AI in each case to enhance learning.
Using Generative Artificial Intelligence - A Student Guide
This article provides some overarching principles for students on how they may use generative artificial intelligence in their work, whilst still maintaining academic integrity and enhancing their educational experience.
Generative AI is a fast-moving field, and two people can't keep up with everything. If you have a specific use case or have identified a compelling way to use GenAI in your studies or teaching, please let us know using the Suggestions & Feedback link on the left.
We're also happy to receive any general feedback on the site.