As colleges and universities progress along their AI journeys, one area showing real promise is the use of general-purpose AI tools — like ChatGPT and Gemini — to support assessment, especially marking and feedback. Therefore, as part of a wider initiative exploring how AI can reduce workload around marking and feedback, we’re launching a project to explore the impacts of these tools in this area.
This project will be shaped by expert contributions from institutions already using generative AI within their marking and feedback workflows.
What will the pilot involve?
This pilot will run throughout the 2025–26 academic year and will explore how general-purpose AI tools can be used to support feedback and marking within both formative and summative assessment — from initial feedback and draft reviews to end-of-course grading.
The aim is simple: to understand how these AI tools can help reduce staff workload in these contexts, while meeting the needs of all stakeholders (both staff and students), and without compromising quality.
With Jisc’s support, participants will benefit from each other’s insights – with fortnightly community sessions, a dedicated Jiscmail, and the best practice toolkit.
As a first step, we want to learn from colleges and universities already putting general-purpose tools such as Chat GPT, Copilot, Gemini and Claude to use in this area.
What are we asking for now?
We’re looking for expert institutions that are already using AI tools such as ChatGPT, Gemini, Claude or Copilot to support marking and feedback.
If that sounds like you, we’d love you to submit a prospective contribution for our upcoming AI in Marking and Feedback Best Practice Toolkit. The key details to include in your submission are:
- What tool(s) you’re using
- The contexts in which you’re using them
- How they’re being used within your assessment processes and workflows
- Prompts or techniques that have proven effective
- The impact on workload, quality, or student outcomes
- Any challenges you’ve worked through (or are working through)
- What others would need to know in order to replicate your approach
If you think you can speak to each of these points with authority, we suggest using your preferred generative AI tool to help you create a draft guidance document, which you can submit as your application for this project.
Our intention is to publish around three different approaches within the AI in Marking and Feedback Best Practice Toolkit, and we may combine contributions where approaches are similar.
Submissions will be assessed based on clarity, practical value, replicability, and diversity of context/use case.
How to take part
Please submit your draft best practice document, along with your details, via this form by 4th July.
What happens next?
We’ll make a decision on the most suitable guides and be in touch with everyone who submitted contributions shortly after.
We’ll then work with the chosen contributors to produce final versions for the AI in Marking and Feedback Best Practice Toolkit.
This will involve our team having an initial call to discuss your contribution, and to agree on areas for development. We’ll aim for just one rewrite, though there may be some small changes still to make beyond that. Our intention is to not have multiple iterations of feedback and rewriting.
After the Toolkit has been published, we’ll open the pilot to all Jisc members.
The pilot will run over the course of the 2025-26 academic year, during which time we’ll gather feedback, facilitate discussion, and document how these ideas work in practice.
This is a chance to influence sector-wide practice, share your expertise, and shape the future of assessment. We’d love to hear what’s working for you.
Get in Touch
You can find out more about the pilot by getting in touch with us directly at ai@jisc.ac.uk. We look forward to hearing from you.
Find out more by visiting our Artificial Intelligence page to view publications and resources, join us for events and discover what AI has to offer through our range of interactive online demos.
Join our AI in Education communities to stay up to date and engage with other members.
Get in touch with the team directly at AI@jisc.ac.uk
