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Articles 1 - 3 of 3
Full-Text Articles in Education
Collaborative Strategic Board Games As A Site For Distributed Computational Thinking, Matthew Berland, Victor R. Lee
Collaborative Strategic Board Games As A Site For Distributed Computational Thinking, Matthew Berland, Victor R. Lee
Instructional Technology and Learning Sciences Faculty Publications
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 …
Misconstruals Or More? The Interactions Of Orbit Diagrams And Explanations Of The Seasons, Victor R. Lee
Misconstruals Or More? The Interactions Of Orbit Diagrams And Explanations Of The Seasons, Victor R. Lee
Instructional Technology and Learning Sciences Faculty Publications
This paper examines a “misconstrual hypothesis” regarding diagrams of the Earth’s orbit around the sun and how middle school students explain the cause of the seasons. Drawing from 24 semi-structured interviews, I present qualitative analyses of students’ explanations of why temperatures vary in summer and winter and how those are influenced by the elliptical shape of perspective drawings of the Earth’s orbit, common to many science textbooks. The results of the analysis suggest that diagram interpretation does not necessarily follow what has been often predicted in the literature and that conceptualizations can shift quite rapidly as different diagram features are …
Methodological Challenges For Identifying And Coding Diverse Knowledge Elements In Interview Data, Victor R. Lee, Moshe Krakowski, Bruce Sherin, Megan Bang, Gregory Dam
Methodological Challenges For Identifying And Coding Diverse Knowledge Elements In Interview Data, Victor R. Lee, Moshe Krakowski, Bruce Sherin, Megan Bang, Gregory Dam
Instructional Technology and Learning Sciences Faculty Publications
This paper, as part of a symposium on the analysis of clinical interview data and the development of a framework for analyzing students' intuitive science knowledge, identifies and discusses methodological challenges encountered when specifying the knowledge elements and resources are invoked dynamically during a clinical interview. Drawing from interviews with middle school students about the seasons and an analysis of knowledge in terms of 'nodes', two classes of problems are identified: those associated with identification of nodes and those associated with their application as codes to a transcript-based data corpus. We posit that these challenges are common ones associated with …