Toward Responsible Use of AI in Education Research and Development

Session Type: Symposium

Abstract

A growing body of research is examining the use of artificial intelligence (AI) in schools and classrooms, and numerous organizations have published guidance for responsible AI use in education. However, guidance to inform the use of AI by researchers themselves is limited, despite growing use of AI-enabled research tools and methods to support literature reviews, data collection, measurement, analysis, and reporting. In this session, participants representing the researcher, developer, and funder communities will discuss recent work to promote responsible AI use in education research and development (R&D). The session will foster understanding and collaboration for responsible AI use, highlighting the need for tailored guidance to help ensure that R&D meets the needs of the communities it is designed to serve.

Sub Unit

• Division D - Measurement and Research Methodologies / Division D - Section 2: Quantitative Methods and Statistical Theory

Cosponsor

• NCME

Chair

• Rachel Garrett, American Institutes for Research

Papers

• Principles for the Use of AI-enabled Tools in Education Research and Development - Laura S. Hamilton, National Center for the Improvement of Educational Assessment, Inc.; Rachel Garrett, American Institutes for Research; Orrin T. Murray, American Institutes for Research; Susan Bowles Therriault, American Institutes for Research; Joseph P. Wilson, American Institutes for Research

• Using AI to Support Generalizability of Research - Steven Ritter, Carnegie Learning, Inc.

• Responsible Use of AI in Research and Practice Settings: Learning from PK-12 - Pati Ruiz, Digital Promise; Julie Neisler, Digital Promise; Kelly Mills, Digital Promise Global

Discussant

• Matthew E. Soldner, Institute of Education Sciences