[This page is under development – last updated 28th February 2025
The value and implications for the use of Generative AI are continually developing. The Coventry University Group position is to consider how we adapt our teaching, learning and assessment to make the most of AI in an effective, ethical, and transparent way. Here you can find guidance and additional resources to help navigate your use of Generative AI in your practice.
Staff Guidance
AI and Assessment – Staff Guidance
AI Tools in Education Overview – video introduction to the Coventry University Group guidance
Evaluating the potential risk of AI to your assessments
The use of AI does present challenges and opportunities for how it is used in our teaching, learning and assessment practice. All courses are therefore required to review their assessments to identify potential risk for academic misconduct and where such risk is identified to undertake assessment re-design informed by the AI and assessment design principles.
- Timelines
- Review to be completed by January 2025, to identify which assessments need to be updated ready for September 2025 delivery.
To support the review process the following AI Risk Measure framework has been created against which to evaluate assessments:
Assessment design to counter academic misconduct
Supporting documents
- Assignment brief template – available from A-Z of Standards, Procedures and Guidelines.
- Direct link to template [requires access to Staff Portal]
- Staff Guidance – Setting Artificial Intelligence (AI) expectations for an assessment
Additional resources
Coventry University Group Standard
- [available from A-Z of Standards, Procedures and Guidelines (username and password required)]
Artificial Intelligence at Coventry University Group Development Day – 13th June 2024
- Resources and recordings – Recordings and slides from the AI at Coventry University Group Development Day have been collated on this page.
Teaching Knowledge Base articles
- Understanding Artificial Intelligence Tools
- AI tools and impact on higher education
- AI and academic misconduct
- Support site developed by the Educational Technologists to provide examples of how to use Copilot for different tasks
External Sources
- QAA – Generative Artificial Intelligence
- Jisc
- Assessment ideas for an AI enabled world – downloadable powerpoint from Jisc of assessment design ideas
- Jisc – Navigating the future (examples of AI Education)
- HE Generative AI Literacy definition
- Embracing Generative AI in assessments: a guided approach
- Russell Group AI Principles
- TEQSA (2023) Assessment reform for the age of artificial intelligence
- TEQSA (2024) Gen AI strategies for Australian higher education; emerging practice
- UCL – Designing assessments for an AI enabled world
- UNESCO – Global AI Ethics and Governance Observatory
- UNESCO (2023) ChatGPT and artificial intelligence in higher education
Selected Articles
Bearman, M., Tai, J., Dawson, P., Boud, D. & Ajjawi, R. (2024): Developing evaluative judgement for a time of generative artificial intelligence, Assessment & Evaluation in Higher Education, DOI: 10.1080/02602938.2024.2335321
Luo, J. (2024): A critical review of GenAI policies in higher education assessment: a call to reconsider the “originality” of students’ work , Assessment & Evaluation in Higher Education, DOI: 10.1080/02602938.2024.2309963
Farazouli, A., Cerratto-Pargman, T., Bolander-Laksov, K. & McGrath, C. (2023): Hello GPT! Goodbye home examination? An exploratory study of AI chatbots impact on university teachers’ assessment practices, Assessment & Evaluation in Higher Education, DOI: 10.1080/02602938.2023.2241676