Integration of computational thinking skills in STEM-driven computer science education

R. Burbaite, Vida Drasute, V. Stuikys
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引用次数: 19

Abstract

In the context of Computer Science (CS) education, one of the most important goals is the development of computational thinking (CT) and problem solving skills. Computational thinking skills are closely related to the CS concepts and approaches. These skills cover fundamental programming concepts such as task decomposition, abstractions and generalization, data structures and algorithms. On the other hand, CS education challenges, promote the search for new educational tools, methods, activities and resources. Consequently, CS education should be extended by adding the STEM (Science, Technology, Engineering and Mathematics) paradigm principles. The aim of this paper is to show how STEM-driven CS education supports and ensures the development of computational thinking at the high school. We present the already published STEM-driven CS education approach aiming at extending it by introducing a model to assess student achievements, according to the revised Bloom's taxonomy in the connection with CT skills. As a practical implementation, we describe a curriculum of Programming Basics at the high school with respect to STEM-driven aspects and CT skills. We introduce two case studies implemented in the real educational environment. They provide the evidence of availability of our approach.
在stem驱动的计算机科学教育中整合计算思维技能
在计算机科学(CS)教育的背景下,最重要的目标之一是发展计算思维(CT)和解决问题的能力。计算思维能力与计算机科学的概念和方法密切相关。这些技能涵盖了基本的编程概念,如任务分解、抽象和泛化、数据结构和算法。另一方面,计算机科学教育的挑战,促进了对新的教育工具、方法、活动和资源的探索。因此,计算机科学教育应该通过增加STEM(科学、技术、工程和数学)范式原则来扩展。本文的目的是展示stem驱动的计算机科学教育如何支持和确保高中计算思维的发展。我们提出了已经发表的stem驱动的计算机科学教育方法,旨在通过引入一个模型来评估学生的成就,根据修订后的布鲁姆与计算机科学技能相关的分类,对其进行扩展。作为一个实际的实施,我们描述了一个关于stem驱动方面和CT技能的高中编程基础课程。我们将介绍两个在真实教育环境中实施的案例研究。它们为我们的方法的有效性提供了证据。
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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