AI-enabled authentic assessment strategy

The development and use of artificial intelligence (AI) tools have raised several concerns on the effectiveness of assessment practice. Authentic assessment has emerged as one of the key strategies to cope with the rapidly evolving technology. The core principles of authentic assessment are realism, cognitive challenge and evaluative judgement (Villarroel et al., 2018). Nevertheless, prior studies argued that authentic assessment as a standalone instrument is insufficient to control the impact of AI (Kofinas et al., 2025). Several studies called for the integration of AI in assessment design (Ogunleye et al., 2024a). However, it is unclear how academics can deploy the use of AI in authentic assessment.

In this seminar, we will discuss our ‘Deployment, AI-Role and Deliverable’ (DAD) framework, an AI-enabled authentic assessment framework which highlights three key areas for deployment. Further to this, we will discuss empirical findings from three main UK universities to one of DAD’s pathway.

References:
Kofinas, A. K., Tsay, C. H. H., & Pike, D. (2025). The impact of generative AI on academic integrity of authentic assessments within a higher education context. British Journal of Educational Technology. https://doi.org/10.1111/bjet.13585
Villarroel, V., Bloxham, S., Bruna, D., Bruna, C., & Herrera-Seda, C. (2018). Authentic assessment: Creating a blueprint for course design. Assessment & Evaluation in Higher Education, 43(5), 840-854. https://doi.org/10.1080/02602938.2017.1412396
Ogunleye, B., Zakariyyah, K. I., Ajao, O., Olayinka, O., & Sharma, H. (2024) Higher education assessment practice in the era of generative AI tools. Journal of Applied Learning and Teaching, 7(1). https://doi.org/10.37074/jalt.2024.7.1.28