About CSET

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photo of Victor Lee

Victor R. Lee

Associate Professor

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Graduate School of Education

Dr. Lee’s research focuses on how people interact and learn with data as well as STEM teaching and learning throughout K-12. With respect to data, he examines how data are made meaningful in the context of inquiry and sense-making, with a specific emphasis on data that students collect about themselves. Currently, he is exploring what teachers need to know about data in order to best support students in working with real data sets. His STEM teaching and learning work has encompassed mathematics and science classrooms as well as makerspaces, computer labs, and school libraries. In those lines of work, he examines what is engaged learning and what conceptual understandings students have and how they change over time. Dr. Lee completed his doctoral work in Learning Sciences at Northwestern University and has Bachelor’s degrees in Cognitive Science and Mathematics from UC San Diego.

CSET Publications

Xie, B., Sarin, P., Wolf, J., Garcia, R. C., Delaney, V., Sieh, I., Fuloria, A., Varuvel Dennison, D., Bywater, C.,  & Lee, V. R. (2024). Co-designing AI Education Curriculum with Cross-Disciplinary High School Teachers.

Dennison, D. V., Garcia, R. C., Sarin, P., Wolf, J., Bywater, C., Xie, B., & Lee, V. R. (2024). From Consumers to Critical Users: Prompty, an AI Literacy Tool For High School Students.

Shumway, J. F., Welch, L. E., Kozlowski, J. S., Clarke-Midura, J., & Lee, V. R. (2023). Kindergarten students’ mathematics knowledge at work: the mathematics for programming robot toys. Mathematical Thinking and Learning25(4), 380-408.

Delaney, V., Sarin, P., & Lee, V. R. (2023). Students’ Constructed Explanations for How Artificial Intelligence Generates Recommendations in YouTube. In Proceedings of the 17th International Conference of the Learning Sciences-ICLS 2023, pp. 1186-1189. International Society of the Learning Sciences.

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