Why Educational Measurement Matters in the Age of AI

This is presented by the NCME Communications Committee

This public-facing NCME webinar brings together leaders in educational measurement, assessment, learning analytics, and AI in education to discuss what our field can contribute in the age of modern AI. Panelists Andrew Ho from Harvard University, Kristen DiCerbo from Khan Academy, and Alyssa Wise from Vanderbilt University will explore why concepts such as validity, fairness, evidence, interpretation, and responsible use are essential for designing and evaluating AI-enabled educational systems. The session will be moderated by Seyedahmad (Ahmad) Rahimi, chair of the NCME Communications Committee, and aims to build bridges between NCME and adjacent communities, including AI in education, learning analytics, EDM, EdTech, and the learning sciences.

About the Presenters

Andrew Ho, Charles William Eliot Professor of Education, Harvard Graduate School of Education
Andrew Ho is the Charles William Eliot Professor of Education at the Harvard Graduate School of Education. His work focuses on educational measurement, testing, accountability, and the interpretation and use of assessment results. He is a past president of NCME and delivered the 2025 NCME Presidential Address, “Metaphors, Mantras, and Mnemonics: Communication Competencies in Educational Measurement.”

Kristen DiCerbo, Chief Learning Officer, Khan Academy
Kristen DiCerbo, Ph.D., is Chief Learning Officer at Khan Academy, where she helps guide teaching and learning strategy and research-based approaches across Khan Academy’s offerings. Her work connects assessment, learning science, educational technology, and AI-supported learning. Before joining Khan Academy, she was Vice President of Learning Research and Design at Pearson.

Alyssa Wise, Professor of Technology and Education, Department of Teaching and Learning, Vanderbilt University; Director, LIVE Learning Innovation Incubator
Alyssa Wise is Professor of Technology and Education in the Department of Teaching and Learning at Vanderbilt University and Director of the LIVE Learning Innovation Incubator. Her research combines data science, learning sciences, and human-centered design to build and study learning analytics and AI systems that promote equitable and effective learning.