Assuring and enhancing the quality of AI-transformed higher education: staying ahead of the curve

This paper will explore ways in which learning and teaching is shifting to adapt to the open-access of generative AI tools, and outline implications for quality assurance activity.

It will highlight the implications of AI on quality and standards in the higher education sector, identifying historic approaches or assumptions that may need to evolve as time goes on. The paper will explore ways in which both universities and quality agencies can support the transition to an AI-embracing sector, balancing the opportunities with mitigating the risks. From providing assurance on robust academic integrity approaches, to driving enhancement in assessment design, the paper will provoke audiences to reflect on their own practices in order to ensure we are able to identify, assure and enhance high quality provision in an AI-transformed sector.

This paper was presented at EQAF and reflects the views of the named authors only.

ISSN: 1375-3797

Assuring and enhancing the quality of AI-transformed higher education: staying ahead of the curve

Eve Alcock

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