Please use this identifier to cite or link to this item: https://repository.isls.org//handle/1/7427
Title: Make with Data: Challenging and contextualizing open-source data with personal and local knowledge
Authors: Holbert, Nathan
Xu, Cassie
,
Keywords: Learning Sciences
Issue Date: Jun-2021
Publisher: International Society of the Learning Sciences
Citation: Holbert, N., Xu, C., & (2021). Make with Data: Challenging and contextualizing open-source data with personal and local knowledge. In de Vries, E., Hod, Y., & Ahn, J. (Eds.), Proceedings of the 15th International Conference of the Learning Sciences - ICLS 2021. (pp. 1119-1120). Bochum, Germany: International Society of the Learning Sciences.
Abstract: In this paper we describe Make with Data, a two-year project that invites teachers and students from a diverse range of public high schools to work with professional data scientists on using open-source data to explore issues important to their local community. Through the creation of a learning environment that situates data science concepts and practices in local phenomena and challenges, students were encourage to make clear connections between the observations found in datasets and their own lived experiences. While the negotiation of the personal and the quantitative resulted in tensions, Make with Data students found their personal experiences a useful tool for adding context and complexity to the phenomena being studied.
URI: https://doi.dx.org/10.22318/icls2021.1119
https://repository.isls.org//handle/1/7427
Appears in Collections:ISLS Annual Meeting 2021

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