Will AI help or hinder socioculturally responsible assessment?

Описание: This panel explores how AI is transforming assessment—personalizing experiences, enhancing engagement, and raising new challenges around bias and fairness. Experts discuss sociocultural responsiveness, validity, and the methodological hurdles of ensuring equitable, meaningful measurement for all learners.

AI is revolutionizing assessments, from content generation, to reporting and scoring. These advancements open up opportunities to innovate assessments by grounding them in learner contexts, enhancing engagement, motivation, and performance for all students. By leveraging AI for personalization, aligning with student backgrounds, and creating interactive and adaptive experiences, we can achieve these ambitious goals.

This panel delves into the potential of AI to advance assessments in meeting educational objectives. The discussion covers essential guardrails, methodologies, and issues of validity and fairness to minimize bias and ensure the efficacy of AI-based digital assessments of complex skills.

Panelists:
Kadriye Ercikan, Senior Vice President of Global Research, ETS
Nancy Otero, Senior Strategy Officer, Gates Foundation
Bryan Brown, Professor of Science Education, Stanford University
Temple Lovelace, Executive Director, Assessment for Good

Moderator:
Beverly Daniel Tatum, Spelman College (President Emerita)