Please use this identifier to cite or link to this item:
Title: Dancing With Data: Embodying the Numerical and Humanistic Sides of Data
Authors: Desportes, Kayla
Vacca, Ralph
Tes, Marian
Woods, Peter
Matuk, Camillia
Amato, Anna
Silander, Megan
Keywords: Learning Sciences
Issue Date: 2022
Publisher: International Society of the Learning Sciences
Citation: Desportes, K., Vacca, R., Tes, M., Woods, P., Matuk, C., Amato, A., & Silander, M. (2022). Dancing with data: Embodying the numerical and humanistic sides of data. In Chinn, C., Tan, E., Chan, C., & Kali, Y. (Eds.), Proceedings of the 16th International Conference of the Learning Sciences - ICLS 2022 (pp. 305-312). International Society of the Learning Sciences.
Abstract: Data literacy is important for supporting individuals to incorporate information from research studies into their own perspectives and decision-making processes. However, it can be challenging for students to read, understand, and relate to data. Students have to be able to traverse the representational forms that data takes on (i.e., numerical, graphical, etc.) and connect it to their understanding of a topic. We explore the implementation of a co-designed data-dance unit in which middle school students created their own embodied metaphors to represent and communicate about graphs through dance. In analyzing dance artifacts and poststudy interviews with the learners and teachers, we demonstrate how the creation of embodied metaphors in dance led to new ways of exploring the data as learners reflected on different perspectives on topics across numerical values, contexts, and implications.
Description: Long Paper
Appears in Collections:ISLS Annual Meeting 2022

Files in This Item:
File SizeFormat 
ICLS2022_305-312.pdf773.34 kBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.