Please use this identifier to cite or link to this item: https://repository.isls.org//handle/1/8523
Title: Paths Through Data: Successes and Future Directions in Supporting Student Reasoning About Environmental Racism
Authors: Reigh, Emily
Escudé, Meg
McBride, Cherise
Wei, Xinyu
Bakal, Michael
Rivero, Edward
Roberto, Collette
Wilkerson, Michelle
Gutiérrez, Kris
Keywords: Learning Sciences
Issue Date: 2022
Publisher: International Society of the Learning Sciences
Citation: Reigh, E., Escudé, M., McBride, C., Wei, X., Bakal, M., Rivero, E., Roberto, C., Wilkerson, M., & Gutiérrez, K. (2022). Paths through data: Successes and future directions in supporting student reasoning about environmental racism. In Chinn, C., Tan, E., Chan, C., & Kali, Y. (Eds.), Proceedings of the 16th International Conference of the Learning Sciences - ICLS 2022 (pp. 1497-1500). International Society of the Learning Sciences.
Abstract: We report on a curriculum development project in which students explore environmental racism through data. Recognizing that quantitative data alone is insufficient to understand the sociohistorical contexts of racism, we draw from syncretic approaches to learning that put everyday experiences and qualitative evidence into direct conversation with quantitative datasets through storytelling. Through two focal cases, we demonstrate how one student leveraged personal experience to engage in deep integrative analysis of data, while another with fewer perceived personal connections to environmental racism focused more specifically on patterns, with less structural or racial analysis. Implications of the analysis include the need to carefully attend to the use of quantitative data related to race and to scaffold the integration of other sources of information with quantitative data sets.
Description: Short Paper
URI: https://dx.doi.org/10.22318/icls2022.1497
https://repository.isls.org//handle/1/8523
Appears in Collections:ISLS Annual Meeting 2022

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