November 2024

The October issue of the Journal of Educational and Behavioral Statistics (JEBS) opened with a special section titled “AI in Educational Statistics.” The special section articles are available open access at the links below.

The introduction to the special section, written by Steven Andrew Culpepper (University of Illinois Urbana-Champaign; JEBS 2020–2022 editor and 2022–2024 co-editor), explores how AI is transforming education but also how the current edition of Standards for Educational and Psychological Measurement (the Standards) does not account for AI’s growing role in the field. The section pulls together experts in “testing, measurement, psychometrics, and statistics” to discuss the implications of the 2023 Duolingo document “Responsible AI Standards” by Jill Burstein, to offer insights on monitoring and ensuring the ethical use of AI, and to consider how these implications and insights can be used to further revise the Standards, serving as “an important foundation for future inquiry on the use of AI in education.”

The special section includes the following pieces:

Introduction

• “Introduction to the JEBS Special Section on Artificial Intelligence in Educational Statistics,” Steven Andrew Culpepper (University of Illinois Urbana-Champaign)

Articles

• “Strive for Measurement, Set New Standards, and Try Not to Be Evil,” Derek C. Briggs (University of Colorado Boulder)
• “AI and Psychometrics: Epistemology, Process, and Politics,” Ezekiel Dixon-Román (Teachers College, Columbia University)
• “Artificial Intelligence and Educational Measurement: Opportunities and Threats,” Andrew D. Ho (Harvard University)

Article Commentaries

• “Harnessing AI for Educational Measurement: Standards and Emerging Frontiers,” Hua-Hua Chang (Purdue University)
• “How Do We Demonstrate AI Responsibility: The Devil Is in the Details,” Matthew S. Johnson (Educational Testing Service)

Learn more about JEBS on the AERA website.