The modernisation of assessment in HE: AI as a disruptive catalyst for change

Hassoulas, Athanasios ORCID: https://orcid.org/0000-0002-1029-1847 2025. The modernisation of assessment in HE: AI as a disruptive catalyst for change. Popenici, Stefan, Rudolph, Jürgen, Ismail, Fadhil and Tan, Shannon, eds. Handbook of Artificial Intelligence in Higher Education, Sociology, Social Policy and Education 2025, Cheltenham: Edward Elgar Publishing, pp. 387-402. (10.4337/9781035338764.00034)

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Abstract

The COVID-19 pandemic demonstrated the truly disruptive effect that external forces can have on teaching and assessment in higher education, on a truly global scale. The pandemic also highlighted how such global events can serve as powerful catalysts, or accelerants, of innovation in higher education. Merely a few years post-pandemic, higher education is confronted with yet another global force: the emergence of artificial intelligence (AI), with implications that will resonate far beyond education alone. As we navigate this AI era, it is vital to consider its potential impact and applications in teaching and assessment. The popularity of open-access generative AI platforms, notably marked by ChatGPT's debut in November 2022, has initiated a transformative moment for assessment in higher education. It is essential that educators embrace AI to prepare both undergraduates and professional postgraduates for an evolving workplace. AI integration into assessment and teaching offers opportunities for innovation that can fundamentally reshape student preparation for professions demanding new skills and insights. This chapter addresses the challenges universities face in light of these emerging technologies, examining authenticity and academic integrity. We discuss the role of updated information literacy and digital competency strategies, focusing on AI, for both students and staff. Embracing new platforms and intelligent tools may enhance learning experiences through more authentic, less stressful evaluations of academic and vocational skills. AI integration will redefine both how and what we assess, requiring careful, ethical use to safeguard academic integrity while equipping graduates for contemporary professional demands.

Item Type:	Book Section
Book Type:	Edited Book
Date Type:	Publication
Status:	Published
Schools:	Schools > Medicine
Subjects:	L Education > LB Theory and practice of education > LB2300 Higher Education L Education > LT Textbooks
Publisher:	Edward Elgar Publishing
ISBN:	9781035338757
Last Modified:	14 Jan 2026 10:15
URI:	https://orca.cardiff.ac.uk/id/eprint/183780

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