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Material syntonicity: Examining computational performance and its materiality through weaving and sewing crafts
Journal of the Learning Sciences ( IF 3.0 ) Pub Date : 2022-08-18 , DOI: 10.1080/10508406.2022.2100704
Anna Keune 1
Affiliation  

ABSTRACT

Background

Fiber crafts occupy a vital position in technology innovation and present a promising space for computer science education, which continues to face lopsided participation. It remains unclear whether and how fiber crafts can become a context for computational learning and what role different materials play with the risk to miss computational approaches that could broaden computational cultures.

Methods

Fusing constructionist and posthuman perspectives, this study analyzed how middle school students performed computational concepts while weaving and manipulating fabric and how the craft materials drove what could be learned computationally in these contexts.

Findings

Present the fiber crafts as a context for performing computational concepts (i.e., variables, conditionals, functions) and that the materials play a role in what can be learned computationally. While weaving drove computing as the performance of automation, fabric manipulation required speculative and physical three-dimensional modeling as computational.

Contribution

The paper presents fiber crafts as a promising context for computational learning and theorizes the ongoing material as material syntonicity, contributing a material direction to fostering more inclusive and sustainable computing cultures.



中文翻译:

材料同步性:通过编织和缝纫工艺检查计算性能及其重要性

摘要

背景

纤维工艺在技术创新中占据重要地位,为计算机科学教育提供了一个充满希望的空间,而计算机科学教育继续面临不平衡的参与。目前尚不清楚纤维工艺品是否以及如何成为计算学习的背景,以及不同材料在错过可能扩大计算文化的计算方法的风险中扮演什么角色。

方法

这项研究融合了建构主义和后人类的观点,分析了中学生在编织和操纵织物时如何执行计算概念,以及工艺材料如何推动在这些情况下可以通过计算学习的内容。

发现

将纤维工艺品作为执行计算概念(即变量、条件、函数)的上下文,并且材料在可以通过计算学习的内容中发挥作用。虽然编织推动了计算作为自动化的表现,但织物操作需要推测和物理三维建模作为计算。

贡献

该论文将纤维工艺品作为计算学习的有前途的背景,并将正在进行的材料理论化为材料的共调性,为培养更具包容性和可持续性的计算文化提供了材料方向。

更新日期:2022-08-18
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