Victor Lee is a learning sciences researcher and cognitive scientist who specializes
in the study of external representations, science teaching and learning, and student
cognition. He also develops instructional materials and activities using novel
technologies to support K-12 teaching and learning. Most recently, that line of work
explores the potential of mobile technologies and personally relevant data to support
learning about measures of center and data representation. Previous work involved the
study of visual representations in instructional materials for middle school science and
studying intuitive science knowledge, particularly as it can be captured in cognitive
clinical interviews or in small group interactions. He has also worked some on studying
learning and activity in non-school contexts. Lee was a graduate fellow with the
NSF-funded Center for Curriculum Materials in Science, past recipient of the American
Educational Research Association's SIG ATL/EST- Best Student Paper award, and is
serving as Co-Chair of AERA's Special Interest Group for Advanced Technologies for
Learning.

Articles

PDF

What a Long Strange Trip It’s Been: A Comparison of Authors, Abstracts, and References in the 1991 and 2010 ICLS Proceedings (with Lei Ye and Mimi Recker), The Future of Learning: Proceedings of the 10th International Conference of the Learning Sciences (ICLS 2012) (2012)

We examine differences in authorship, word usage, and references in full papers from the 1991...

 

PDF

Collaborative strategic board games as a site for distributed computational thinking (with Matthew Berland), International Journal of Game-Based Learning (2011)

This paper examines the idea that contemporary strategic board games represent an informal, interactional context...

 

PDF

How different variants of orbit diagrams influence students' explanations of the seasons, Science Education (2010)

The cause of the seasons is often associated with a very particular alternative conception: that...

 

PDF

Methodological challenges for identifying and coding diverse knowledge elements in interview data (with Moshe Krakowski, Bruce Sherin, Megan Bang, and Gregory Dam), 2006 Annual Meeting of the American Educational Research Association (2006)

This paper, as part of a symposium on the analysis of clinical interview data and...