Use of Generative AI in Assessment
About This Project
Rapid advancements in generative AI technology present both opportunities and risks for educational assessments. Guided by the goals of creating and supporting assessments that can enhance learning for all students, this project aims to engage a broad spectrum of stakeholders in a community-wide effort to design a structured, collaborative roadmap report that will guide the ethically responsible and effective use of generative AI in learning assessments.
Diversity
Assessments need to embrace and incorporate students’ linguistic, cultural, and racial backgrounds.
Complex Learning
Assessments are part of a complex learning system.
Assessment Validity
The topic of assessment validity requires new approaches to include comparability of performance across identifiable variables.
ADVISORY COMMITTEE MEMBERS
- Eva Baker (Co-chair)
University of California, Los Angeles - Roy Pea (Co-chair)
Stanford University - Randy Bennett
Educational Testing Service - Kristen DiCerbo
Khan Academy - Louis Gomez
University of California, Los Angeles - Scott Marion
Center for Assessment
CONTACT
Amy Berman, Deputy Director
Dian Dong, Senior Program Officer, Research
The project and research is supported by funding from the Gates Foundation. The opinions expressed are those of the NAEd and do not represent views of the Gates Foundation.