Toward a Research and Development Roadmap: Artificial Intelligence, Advanced Analytics, and Assessment in the Service of Learning

Session Type: Invited Speaker Session

Abstract

There is widespread agreement about our nation’s need for new and more effective measurement and assessment systems that enhance learning, thriving, and improvement. Achieving such breakthroughs requires ambitious investments that advance actionable insights, context- and condition-sensitive measures, and approaches that leverage emerging technologies. The public sector tends to emphasize scientific soundness, efficacy, public utility functions, and bedrock investments in the learning, measurement, and improvement sciences. The philanthropic and private sectors often emphasize usefulness, user experience, and transforming evidence-based insights into scaled impact. Productive coordination amongst leading public- and philanthropic-sector investors is vital to ensuring the educational and societal advantages of R&D to accelerate the development of solutions that serve and enhance teaching and learning practices. This discussion asks how might we advance the best of assessment, data, and artificial intelligence practice and technology and generate recommendations to better meet the needs of students, families, educators, and society?

Sub Unit

• AERA Honorary President Edmund W. Gordon Series

Cosponsor

• AERA Research and Science Policy Sessions

Participants

• LaVerne Evans Srinivasan, Carnegie Corporation of New York

• E. Wyatt Gordon, Pearson VUE

• Gabriela López, Chan Zuckerberg Initiative

• Jamie Olson McKee, Bill & Melinda Gates Foundation

• James L. Moore, National Science Foundation

• Edmund W. Gordon, Teachers College, Columbia University

Moderator

• Eric Tucker, Gordon Commission Study Group