Please use this identifier to cite or link to this item: https://repository.isls.org//handle/1/6837
Title: “Our Dog Probably Thinks Christmas is Really Boring”: Re-mediating Science Education for Feminist-Inspired Inquiry
Authors: Kelly, Annie
Chang, Christine
Hill, Christian
West, Mary
Yoder, Mary
Polman, Joseph
Kane, Shaun
Eisenberg, Michael
Shapiro, R. Benjamin
Keywords: Design
Issue Date: Jun-2020
Publisher: International Society of the Learning Sciences (ISLS)
Citation: Kelly, A., Chang, C., Hill, C., West, M., Yoder, M., Polman, J., Kane, S., Eisenberg, M., & Shapiro, R. B. (2020). “Our Dog Probably Thinks Christmas is Really Boring”: Re-mediating Science Education for Feminist-Inspired Inquiry. In Gresalfi, M. and Horn, I. S. (Eds.), The Interdisciplinarity of the Learning Sciences, 14th International Conference of the Learning Sciences (ICLS) 2020, Volume 2 (pp. 935-942). Nashville, Tennessee: International Society of the Learning Sciences.
Abstract: Feminist science approaches recognize the value of integrating empathy, closeness, subjectivity, and caring into scientific sensemaking. These approaches reject the notion that scientists must be objective and dispassionate, and expand the possibilities of what is considered valuable scientific knowledge. One avenue for engaging people in empathetically driven scientific inquiry is through learning activities about how our pets experience the world. In this study, we developed an augmented reality device we called DoggyVision that lets people see the world similar to dogs’ vision. We designed a scavenger-hunt for families where they explored indoor and outdoor environments with DoggyVision, collected data firsthand, and drew conclusions about the differences between how humans and dogs see the world. In this paper, we illustrate how our DoggyVision workshop re-mediated scientific inquiry and supported the integration of feminist practices into scientific sensemaking
URI: https://doi.dx.org/10.22318/icls2020.935
https://repository.isls.org//handle/1/6837
Appears in Collections:ICLS 2020

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