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Empirical Foundation of Central Concepts for Computer Science Education

机译:计算机科学教育中心概念的经验基础

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The design of computer science curricula should rely on central concepts of the discipline rather than on technical short-term developments. Several authors have proposed lists of basic concepts or fundamental ideas in the past. However, these catalogs were based on subjective decisions without any empirical support. This article describes the empirical determination of central concepts for computer science education. Experts of computer science rated 49 concepts regarding four criteria. The cluster analysis of the data revealed the following central concepts: problem, data, computer, test, algorithm, process, system, information, language, communication, software, program, computation, structure, and model.
机译:计算机科学课程的设计应依靠该学科的中心概念,而不是短期的技术发展。过去有几位作者提出了一些基本概念或基本思想的清单。但是,这些目录基于主观决定,没有任何经验支持。本文介绍了计算机科学教育中心概念的经验确定。计算机科学专家对涉及四个标准的49个概念进行了评分。数据的聚类分析揭示了以下主要概念:问题,数据,计算机,测试,算法,过程,系统,信息,语言,通信,软件,程序,计算,结构和模型。

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