AI in Student Assessments: Promise, Potential and Risks
Artificial intelligence is rapidly reshaping how student learning can be measured, moving beyond traditional tests toward more dynamic forms of assessment. From students conversing with virtual characters to demonstrate problem-solving and reasoning, to AI tools that analyze collaboration and learning processes in real time, these approaches promise insight into what students know and can do. […]
Artificial intelligence is rapidly reshaping how student learning can be measured, moving beyond traditional tests toward more dynamic forms of assessment. From students conversing with virtual characters to demonstrate problem-solving and reasoning, to AI tools that analyze collaboration and learning processes in real time, these approaches promise insight into what students know and can do. At the same time, these innovations raise critical questions for educators, researchers, and policymakers: Can AI-powered assessments adapt to individual learners in ways that are both valid and fair? Will they help close opportunity gaps or risk reinforcing existing inequities through bias, access barriers, or opaque algorithms? And as AI systems grow more sophisticated, what guardrails are needed to ensure transparency, trust, and responsible use?
In this one-hour webinar, hosted by AERA and The 74, leading education researchers will explore how AI is being used in assessment today, what evidence we have about its effectiveness and what risks demand careful attention. The conversation will balance promise with caution, highlighting both cutting-edge research and the policy and ethical considerations shaping the future of student assessment.
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