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Cited by 316

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

Scalable game design and the development of a checklist for getting computational thinking into public schools

Repenning, Alexander, Webb, David, Ioannidou, Andri·2010·Proceedings of the 41st ACM technical symposium on Computer science education

Abstract

Game design appears to be a promising approach to interest K-12 students in Computer Science. Unfortunately, balancing motivational and educational concerns is truly challenging. Over a number of years, we have explored how to achieve a functional balance by creating a curriculum that combines increasingly complex game designs, computational thinking patterns and authoring tools. Scalable Game Design is a research project exploring new strategies of how to scale up from after school and summer programs into required curriculum of public schools through game design approaches. The project includes inner city schools, remote rural areas and Native American communities. A requirement checklist of computational thinking tools regarding curriculum, teacher training, standards and authoring tools has been developed and is being tested with thousands of students.

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Metadata

Authors
Repenning, A., Webb, D., & Ioannidou, A.
Venue
Proceedings of the 41st ACM technical symposium on Computer science education
Publisher
ACM
Published
2010-03-10
Pages
265-269
OpenAlex
W2013205990
Cited by
316
References
2
FWCI
10.75
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Scalable game design and the development of a checklist for getting computational thinking into public schools. https://app.cochat.ai/papers/10.1145/1734263.1734357
The paper
Repenning, A., Webb, D., & Ioannidou, A. (2010). Scalable game design and the development of a checklist for getting computational thinking into public schools. Proceedings of the 41st ACM technical symposium on Computer science education. https://doi.org/10.1145/1734263.1734357

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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.