Supporting Computational Algorithmic Thinking (SCAT): Exploring the difficulties African-American middle school girls face while enacting computational algorithmic thinking

J. Thomas
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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 paper introduces 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 (SCAT Scholars) through the iterative game design cycle resulting in a set of complex games around broad themes. This paper explores the difficulties SCAT Scholars face while using CAT capabilities in the context of game design as described by the Scholars themselves in online journals.
支持计算算法思维(SCAT):探索非裔美国中学女生在实施计算算法思维时面临的困难
计算算法思维(CAT)是一种设计、实现和评估算法实现以解决一系列问题的能力。它包括识别和理解问题,以问题的解决方案的形式阐明一个算法或一组算法,以解决问题的方式实现该解决方案,并基于一些标准集评估解决方案。本文通过支持计算算法思维(SCAT)项目介绍了CAT,这是一个正在进行的纵向学科间研究项目和丰富计划,指导非裔美国中学女生(SCAT学者)通过迭代游戏设计周期,从而产生一系列围绕广泛主题的复杂游戏。本文探讨了SCAT学者在游戏设计背景下使用CAT能力所面临的困难,正如学者们自己在在线期刊上所描述的那样。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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