Assessment robust to AI use with an equity and inclusion lens
New assessment approaches aim to keep tasks robust to the use of AI while maintaining academic integrity and providing differentiated support for diverse needs. Staff capacity is developed through training on responsible use, ethics and inclusivity, with the institution reporting a shift from high-level guidance to concrete application.
Record
- Level
- Meso
- Domain
- Equity, Inclusion and Accessibility
- Institution
- The Open University
- Country
- United Kingdom
- Delivery model
- Fully online
- Context
- Higher education
- Maturity
- Established
- Scalability
- Established
- Transferability
- Established
- Source report
- D3.2
Source trail
The source on which this record rests, the place in the document and the sentence found there. Quotations are searched for mechanically in the source file and the page on which they were located is recorded.
- 01D3.2 · Report on trends and policies and practices on the use of LLMs and generative AI in the partnership: Report 2ADMIT (Erasmus+, EADTU)p. 42Quotation located in the source
practices have shifted from high-level guidance to concrete applications
The institution's own characterisation of the shift is the evidence for coding the record above the guidance stage.
Evidence
The reported evidence on the effect of the practice. Evidentiary strength varies between practices; it is reproduced here as the source reports it.
The institution itself characterises the shift from guidance to application, which is a claim about implementation rather than intent.