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Cited by 210

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Collaborative Strategic Board Games as a Site for Distributed Computational Thinking

Berland, Matthew, Lee, Victor R.·2011·International Journal of Game-Based Learning

Abstract

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.

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Crossref · 10.4018/ijgbl.2011040105

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Metadata

Authors
Berland, M., & Lee, V. R.
Venue
International Journal of Game-Based Learning
Publisher
IGI Global
Published
2011-04-01
Volume
1
Issue
2
Pages
65-81
ISSN
  • 2155-6849 (ISSN-L)
  • 2155-6857
OpenAlex
W2128609340
Cited by
210
References
2
FWCI
10.20
Type
journal article
Language
ng
Open access
closed

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CoChat. (2026). Citation check: Collaborative Strategic Board Games as a Site for Distributed Computational Thinking. https://app.cochat.ai/papers/10.4018/ijgbl.2011040105
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Berland, M., & Lee, V. R. (2011). Collaborative Strategic Board Games as a Site for Distributed Computational Thinking. International Journal of Game-Based Learning. https://doi.org/10.4018/ijgbl.2011040105

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.