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Title: Performing Algorithms: Weaving as Promising Context for Computational Learning
Authors: Keune, Anna
Keywords: Learning Sciences
Issue Date: 2022
Publisher: International Society of the Learning Sciences
Citation: Keune, A. (2022). Performing algorithms: Weaving as promising context for computational learning. In Chinn, C., Tan, E., Chan, C., & Kali, Y. (Eds.), Proceedings of the 16th International Conference of the Learning Sciences - ICLS 2022 (pp. 957-960). International Society of the Learning Sciences.
Abstract: An important aspect of diversifying STEM fields, including computing, is to better understand how tools and materials that are associated with socio-historical practices of underrepresented populations are aligned with disciplinary concepts and what these materials contribute to teaching and learning. Taking a constructionist stance, this study builds on the precedent of electronic textiles in the learning sciences to investigate the alignment of nonelectronically augmented fiber crafts with core computer science concepts through the idea of epistemological pluralism. Through an artifact analysis with computer science instructors, the study found that weaving and manipulating fabric are aligned with core computational concepts and that one craft activity requires multiple approaches to computational concepts. The work points to a particular instance of epistemological pluralism and the potential of fiber crafts as a context for understanding transfer of computational concepts across multiple representations.
Description: Short Paper
Appears in Collections:ISLS Annual Meeting 2022

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