Wednesday, March 18
1:00 pm-2:00 pm ET
Artificial intelligence is rapidly reshaping how student learning can be measured moving beyond traditional tests toward richer, 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.
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.
Free Public Event with Moderated Q&A
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About the Panelists
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Victor Lee, Associate Professor in the Graduate School of Education at Stanford University and Faculty Lead for the Stanford Accelerator for Learning's initiative on AI and Education
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Danielle McNamara, Executive Director of the Learning Engineering Institute, Regents Professor in Psychology, and director of the Science of Learning and Educational Technology (SoLET) Lab at Arizona State University
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Diego Zapata-Rivera, Distinguished Presidential Appointee at Educational Testing Service (ETS)
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Moderator
Greg Toppo,
Senior Writer at The 74
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Welcome
Tabbye Chavous,
AERA Executive Director
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ASL and captioning provided
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