ISLS Repository
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https://repository.isls.org//handle/1/940| Title: | Supporting Computational Algorithmic Thinking (SCAT): Exploring the Development of Computational Algorithmic Thinking Capabilities in African-American Middle-School Girls |
| Authors: | Thomas, Jakita O. |
| Issue Date: | Jun-2014 |
| Publisher: | Boulder, CO: International Society of the Learning Sciences |
| Citation: | Thomas, J. O. (2014). Supporting Computational Algorithmic Thinking (SCAT): Exploring the Development of Computational Algorithmic Thinking Capabilities in African-American Middle-School Girls. In Joseph L. Polman, Eleni A. Kyza, D. Kevin O'Neill, Iris Tabak, William R. Penuel, A. Susan Jurow, Kevin O'Connor, Tiffany Lee, and Laura D'Amico (Eds.). Learning and Becoming in Practice: The International Conference of the Learning Sciences (ICLS) 2014. Volume 2. Colorado, CO: International Society of the Learning Sciences, pp. 1092-1096. |
| Abstract: | Computational algorithmic thinking (CAT) is the ability to design, implement, and assess the implementation of algorithms to solve a range of problems. It involves identifying and understanding a problem, articulating an algorithm or set of algorithms in the form of a solution to the problem, implementing that solution in such a way that it solves the problem, and evaluating the solution based on some set of criteria. This report introduces and describes CAT as explored through the Supporting Computational Algorithmic Thinking (SCAT) project, an on-going longitudinal between-subjects research project and enrichment program that guides African-American middle school girls through the iterative game design cycle resulting in a set of complex games around broad themes. |
| URI: | https://doi.dx.org/10.22318/icls2014.1092 https://repository.isls.org//handle/1/940 |
| Appears in Collections: | ICLS2014 |
Files in This Item:
| File | Size | Format | |
|---|---|---|---|
| 1092-1096.pdf | 201.64 kB | Adobe PDF | View/Open |
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