Constructivist Computer Science Education Reconstructed

M. Beynon
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引用次数: 11

Abstract

Abstract The merits of Empirical Modelling (EM) principles and tools as a constructivist approach to computer science education are illustrated with reference to ways in which they have been used in teaching topics related to the standard computer science curriculum. The products of EM are interactive models — construals - that serve a sense-making role. Model-building proceeds in an incremental fashion through the construction of networks of definitions that reflect the observables, dependencies and agents associated with a current situation. The three principal case studies discussed (teaching bubblesort, solving Sudoku puzzles, and recognising groups from their abstract multiplication tables) highlight respects in which EM accounts for aspects of computing that cannot be effectively addressed by thinking primarily in terms of abstractions, procedures and mechanisms. The discussion of EM as a constructivist approach to computer science education is set in the context of an analysis of constructivism in computer science published by Ben-Ari in 2001. Reconciling EM’s constructivist epistemology with this analysis involves recognising its pretensions to a broader view of computer science.
建构主义的计算机科学教育重构
经验建模(EM)原则和工具作为计算机科学教育的一种建构主义方法的优点,通过参考它们在与标准计算机科学课程相关的教学主题中使用的方式来说明。新兴市场的产品是具有意义构建作用的交互式模型——识解。通过构建反映与当前情况相关的可观察对象、依赖关系和代理的定义网络,模型构建以增量方式进行。讨论的三个主要案例研究(教授泡泡排序、解决数独谜题和从抽象乘法表中识别组)强调了EM对计算方面的解释,这些方面无法通过主要从抽象、程序和机制的角度进行思考来有效解决。EM作为计算机科学教育的一种建构主义方法的讨论是在本-阿里2001年发表的计算机科学建构主义分析的背景下进行的。要调和EM的建构主义认识论与这一分析,需要承认其对计算机科学更广泛观点的自命。
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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