Learning Computational Thinking Efficiently: How Parsons Programming Puzzles within Scratch Might Help

Jeff Bender, Bingpu Zhao, Alex Dziena, G. Kaiser
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引用次数: 1

Abstract

Using a design thinking approach, we surveyed and interviewed grade 6-9 teachers on their experience with Scratch and Parsons Programming Puzzles (PPP). The results lead us to extend Scratch with gameful PPP functionality focused on individual computational thinking (CT) concepts. In this paper, we vary elements of PPPs presented to 624 adult learners to identify those yielding manageable cognitive load (CL), and maximum CT motivation and learning efficiency, for a general populace. Findings indicate PPPs with feedback and without distractors limit CL, those with feedback produce highest CT motivation, and those with an isolated block palette and without distractors produce highest CT learning efficiency. We analyze study data across nine conditions to offer insight to those developing PPP systems with the aim to advance equitable CT education for all.
学习计算思维有效:如何帕森斯编程谜题在Scratch可能会有所帮助
采用设计思维方法,我们调查并采访了6-9年级的教师,了解他们使用Scratch和Parsons编程谜题(PPP)的经验。结果导致我们扩展Scratch与专注于个人计算思维(CT)概念的游戏PPP功能。在本文中,我们对624名成人学习者提供的ppp元素进行了分析,以确定那些产生可管理的认知负荷(CL)、最大的CT动机和学习效率的要素。研究结果表明,有反馈和无干扰物的ppp限制了学习效率,有反馈的ppp产生最高的CT动机,而有孤立块调色板和无干扰物的ppp产生最高的CT学习效率。我们分析了9种情况下的研究数据,为那些开发PPP系统以促进全民公平CT教育的国家提供见解。
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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