Educational Measurement as an AI-Native Profession

Panel

• Damian Betebenner

  Session chair and panelist · Center for Assessment

• Derek Briggs

  Panelist · University of Colorado Boulder

• Frank Rijmen

  Panelist · Cambium Assessment

• Mohammed A. A. Abulela

  Panelist · MetaMetrics, Inc. / University of Minnesota

• Fred Oswald

  Discussant · University of California, Irvine

Guiding questions

1. What has changed. How has AI already changed educational measurement work—in the substance, scope, and organization of that work, not only its speed—and what has become better, worse, or simply different?
2. What that demands of professionals. As AI becomes a collaborator rather than a tool, how should work be divided between people and AI; what knowledge, skills, and dispositions then define psychometric expertise; and how should graduate programs and employers develop and assess them?
3. What the profession must redefine. When AI contributes materially to an analysis, a manuscript, or a review, what must be verified, documented, and disclosed before others can responsibly rely on it—and what does that ask of peer review, training, and institutional accountability?
4. What measurement science owes the evaluation of AI. What can measurement science contribute, in return, to the evaluation of AI systems and of human–AI teams, including this panel, and what would count as improvement over the relevant alternative?
5. Where authority and accountability remain human. Where should authority and accountability remain human as capability advances, what justifies those boundaries beyond current capability, and what does this session's own use of an AI interlocutor reveal about them?

Documents