Victor R. Lee

Dr. Victor R. Lee

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Research Focus & Metrics

Academic Career Length

20Years (2007-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 April 2011 in International Journal of Game-Based Learning
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Journal Article
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MBMatthew Berland
Matthew Berland
VLVictor R. Lee
Victor R. Lee
This paper examines the idea that contemporary strategic board games represent an informal, interactional context in which complex computational thinking takes place. When games are collaborative – that is, a game requires that players work in joint pursuit of a shared goal -- the computational thinking is easily observed as distributed across several participants. This raises the possibility that a focus on such board games are profitable for those who wish to understand computational thinking and learning in situ. This paper introduces a coding scheme, applies it to the recorded discourse of three groups of game players, and provides qualitative examples of computational thinking that are observed and documented in Pandemic. The primary contributions of this work are the description of and evidence that complex computational thinking can develop spontaneously during board game play.

13 June 2024 in Computers and Education: Artificial Intelligence
Verified
Journal Article
Open access
VLVictor R. Lee
Victor R. Lee
DPDenise Pope
Denise Pope
SMSarah Miles
Sarah Miles
RZRosalía C. Zárate
Rosalía C. Zárate

23 September 2021 in Educational Researcher
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Journal Article
Open access
VLVictor R. Lee
Victor R. Lee
MWMichelle Hoda Wilkerson
Michelle Hoda Wilkerson
KLKathryn Lanouette
Kathryn Lanouette
There is growing interest in how to better prepare K–12 students to work with data. In this article, we assert that these discussions of teaching and learning must attend to the human dimensions of data work. Specifically, we draw from several established lines of research to argue that practices involving the creation and manipulation of data are shaped by a combination of personal experiences, cultural tools and practices, and political concerns. We demonstrate through two examples how our proposed humanistic stance highlights ways that efforts to make data personally relevant for youth also necessarily implicate cultural and sociopolitical dimensions that affect the design and learning opportunities in data-rich learning environments. We offer an interdisciplinary framework based on literature from multiple bodies of educational research to inform design, teaching and research for more effective, responsible, and inclusive student learning experiences with and about data.

30 June 2009 in International Journal of Science Education
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Journal Article
Closed access
VLVictor R. Lee
Victor R. Lee

7 December 2011 in Journal of Research in Science Teaching
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Journal Article
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BSBruce L. Sherin
Bruce L. Sherin
MKMoshe Krakowski
Moshe Krakowski
VLVictor R. Lee
Victor R. Lee

12 June 2012 in Science Education
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Journal Article
Closed access
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RRRosemary S. Russ
Rosemary S. Russ
VLVictor R. Lee
Victor R. Lee
BSBruce L. Sherin
Bruce L. Sherin