AI continues to challenge established approaches to assessment and academic integrity across further and higher education. As student and learner use of AI evolves, so too do questions about assessment design, authenticity and how institutions respond to potential misuse.
This session explores current research and sector guidance, alongside emerging insights from our AI in marking and feedback pilot. We'll consider what the evidence is telling us and what this could mean for assessment practice across FE and HE.
This is second session in module three. The curriculum is structured into three modules designed for teaching and learning staff:
Module one: understanding AI in tertiary education for teaching and learning
Module two: essential AI skills for teaching and learning
Module three: ethical and responsible use of AI for teaching and learning
For further information, and to find out about the sessions in each module, read our AI literacy training blog.
Who should attend
This session is designed for teaching and learning staff across further and higher education who are involved in assessment or interested in how AI is changing assessment practice.
It will also be relevant to staff involved in academic integrity, curriculum and assessment design, quality, and the development of institutional approaches to AI.
The session is suitable for a wide audience from these sectors:
- Further education
- Higher education
- Independent education
- Multi-academy trusts
What we cover
- What current research and guidance tell us about AI, assessment and academic integrity
- The limitations of AI detection and the implications for assessment
- Assessment design, authentication and responding to concerns about AI use
- Insights from Jisc's AI in marking and feedback pilot, including AI-supported marking and feedback
What to expect
- Research-informed discussion of the changing assessment landscape
- Practical examples and scenarios exploring assessment and academic integrity
- Opportunities to consider implications for assessment practice within your own context
Pricing and eligibility
- Jisc members: inclusive to membership
- Non member, not-for-profit: £52 + VAT
This webinar is free to anyone from a Jisc member organisation (UK further education colleges, specialist colleges or higher education institutions). You will therefore need to register with your institution's email address.
Non member, not-for-profit organisations, for example multi academy trusts, schools and Independent HE, must register and pay to attend this session.
For more information email training@jisc.ac.uk.
Find out more
For more information view our artificial intelligence YouTube playlist or visit our artificial intelligence blog.