Can AI measure what students really know?
With guest Kristen DiCerbo
Many companies are building tutors. To build a good tutor requires figuring out students already know and what they are learning. Is AI up to this task? On this episode, Jeremy Roschelle and Betsy Corcoran plunge into the murky issues around using AI for assessment with Kristen DiCerbo, the chief learning officer at Khan Academy. Kristen shares why game-based assessments haven’t yet become the best way to measure students’ learning. And we ask: How optimistic should we be that AI can improve assessment over the next 10 years? Tune in for an expert perspective on the hope and hype of using technology to measure learning.
Kristen DiCerbo
Dr. Kristen DiCerbo is the Chief Learning Officer at Khan Academy, where she leads the content, assessment, design, product management, and community support teams.
Time magazine named her one of the top 100 people influencing the future of AI in 2024. Dr. DiCerbo’s career has focused on embedding insights from education research into digital learning experiences.
Prior to her role at Khan Academy, she was Vice-President of Learning Research and Design at Pearson, served as a research scientist supporting the Cisco Networking Academies, and worked as a school psychologist. Kristen has a Ph.D. in Educational Psychology from Arizona State University.
If you’d like to go deeper, check out these resources!
Brave New Words: How AI Will Revolutionize Education (and Why That’s a Good Thing), by Salman Khan
Psychometric Considerations in Game-Based Learning by Robert J. Mislevy, et.al., 2016.
Focus on Formative Feedback by Valerie J. Shute, March 2008
The Test: Why Our Schools are Obsessed with Standardized Testing–But You Don’t Have to Be by Anya Kamenetz, 2016.
The Big Test: The Secret History of the American Meritocracy by Nicholas Lemann, 1999
Playful Testing: Designing a Formative Assessment Game for Data Science by an interdisciplinary team including Jeremy Roschelle, 2022.
