Generative AI and the Social Functions of Educational Assessment

Patricia Broadfoot*, James Rockey

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

Abstract

This paper examines the transformative potential of Generative AI (GenAI), particularly large language models such as ChatGPT, for the social functions of educational assessment. Using Patricia Broadfoot’s ‘four Cs’ framework – competence, competition, content, and control – the analysis considers how GenAI may enhance or challenge these traditional roles. Two additional ‘C’s are introduced: ‘credibility’, concerning the authenticity of learner performance in an era of AI-generated outputs, and ‘connoisseurship’, relating to the ability to effectively use and critically assess AI-generated content. While GenAI offers significant opportunities for personalised learning and more nuanced assessments of competence, it also presents challenges related to authenticity, surveillance, and inequality. We conclude that the ‘four Cs’ framework remains a valid lens for understanding the social functions of educational assessment, now augmented by the dimensions of credibility and connoisseurship.
Original languageEnglish
Pages (from-to)281-300
Number of pages20
JournalOxford Review of Education
Volume51
Issue number2
DOIs
Publication statusPublished - 14 Mar 2025

Bibliographical note

Publisher Copyright:
© 2025 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

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