This chapter explores AI's effect on educational assessment, highlighting new opportunities and integrity challenges.
The rise of large language models (LLMs) and generative AI is revolutionizing educational assessment, presenting transformative opportunities alongside critical challenges. This chapter explores these new opportunities through the lens of Evidence-Centered Design and examines the challenges along two key dimensions: adherence to the core measurement values and the growing concerns about academic integrity. The goal is to provide researchers, educators, and policymakers with a concise overview of the responsible and effective integration of AI into educational measurement.
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Jiangang Hao (2025) studied this question.
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