Generative AI and the social functions of educational assessment

被引:0
|
作者
Broadfoot, Patricia [1 ]
Rockey, James [2 ]
机构
[1] Univ Bristol, Sch Educ, Helen Wodehouse Bldg,35 Berkeley Sq, Bristol BS8 1JA, England
[2] Univ Birmingham, Dept Econ, Birmingham, England
关键词
Generative AI; educational assessment; society; personalised learning; IT; ARTIFICIAL-INTELLIGENCE; LANGUAGE MODELS; SURVEILLANCE; AGE;
D O I
10.1080/03054985.2025.2455549
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
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.
引用
收藏
页码:281 / 300
页数:20
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