In the rapidly evolving landscape of educational technology, generative AI (GenAI) tools such as ChatGPT continue to impact teaching and learning experiences. Integrating GenAI into assessments isn’t about using new technology; it’s about enhancing the way we evaluate learning by enabling higher-level cognitive tasks.
Students want education to adapt and embrace GenAI as they see it as a crucial part of their futures. Staff are keen to adapt and integrate GenAI into teaching, learning and assessment, but want to ensure that they maintain the integrity, inclusivity, and effectiveness of the learning process.
Our Assessment working group have been collaborating to develop a structured approach through a series of flowcharts that outline how academics can responsibly incorporate GenAI into their assessment strategies.
- Understand your constraints
The journey begins by understanding the options available throughout the year, and determining whether there are existing policies and guidelines that need to be complied with.
- Understanding GenAI
Are you familiar with GenAI tools? If not, do you know where to find support? Consider whether your institution offers training sessions that you could attend. Our GenAI Primer is also available to provide a comprehensive understanding of these tools.
- Review your module
Integrating GenAI into education outcomes is not about replacing traditional learning methods but enhancing them. This stage focuses on whether GenAI can be part of the learning outcomes. The goal is to use AI to complement learning objectives and provide students with an engaging educational experience.
- Review your assessment against GenAI capabilities
Integrating GenAI into assessments involves assessing the impact of GenAI on the validity, reliability, and integrity of educational assessments. This process is crucial to ensure that the technology enhances rather than undermines the assessment process. Importantly, this stage emphasises educating students on the ethical use of AI and its role in their education, to support a responsible learning environment.
- Resource base
The final piece of the puzzle signposts to useful resources, we’ll continue to add to this as we identify new resources.
Access the Guide
This guide is designed to help you navigate the complexities of GenAI integration in a way that is practical and responsible. Whether you’re just starting to explore the possibilities of GenAI in your teaching practices or looking to refine your approach, these flowcharts provide a valuable resource for making informed decisions.
This resource is available to download as a flowchart in PDF format and as a text equivalent process document in Word doc format.
PDF – Embracing Generative AI in Assessments Flowchart
Word – Embracing Generative AI in Assessments A guided approach Process Document
As with all things GenAI in order to stay up to date this will need to be an iterative resource. If you want to contribute to the conversation please post your comments on the Miro board here. If you are unable to use Miro but would like to contribute please get in touch at AI@jisc.ac.uk.
Thanks to our working group members:
Adrian Scruton – Anglia Ruskin University
Alexandra Davenport – University of Birmingham
Alison Gibson – University of Birmingham
Amy May – University of Nottingham
Gemma Westwood – University of Birmingham
Hannah Rumney – University of Cumbria
Imran Ali – Coventry University
Isobel Bowditch – University of Strathclyde
Kay Kempers – Leeds Beckett University
Kevin Campbell-Karn – Buckinghamshire New University
Matt Townsend – Cardiff University
Rob Howe – University of Northampton
Stephen Gow – Edinburgh Napier University
Stephen Taylor – Regent’s University London
Tim Hall – University of London
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.
For regular updates from the team sign up to our mailing list.
Get in touch with the team directly at AI@jisc.ac.uk