Assess Gen AI is a cross-university project aimed at advancing both conceptual and practical understanding of how to assess students' competencies related to the use of generative AI in higher education. Building on the foundation laid by the Teach GenAI initiative, this project addresses how generative AI is transforming the disciplines and what students should learn.

The question of how to assess students’ learning has been a central concern since generative AI entered the education system. This calls both for the development of new forms of assessment and for a broader view of the overall assessment portfolio across degree programmes.

However, a common feature of current discussions is that they only to a limited extent take account of the disciplinary transformation that generative AI is, in many cases, initiating. As a result, these transformations are not sufficiently considered as an integrated part of curriculum development work. Without a systematic focus on disciplinary transformation and on the demands it places on students’ digital competences, we risk developing forms of assessment that are primarily suited to testing what students can do without the use of generative AI.

Assess GenAI aims to provide a basis for curriculum development by working in an exploratory and discipline-specific way with three central themes:

• Disciplinary transformation: How does generative AI transform the discipline? What constitutes the emerging disciplinary practice?
• New digital competences: What knowledge, skills, and competences do students need to acquire in order to become competent users of generative AI within their specific discipline?
• Assessment and assessment criteria: What characterises academically competent use of generative AI?

In the first part of the project (2026-27) the focus will be on text production. 

Under this heading, the work is delimited to in-depth investigations within two selected areas where disciplinary transformation has already become evident: 

• code writing within IT degree programmes
• text production within the Humanities and Social Sciences