Please use this identifier to cite or link to this item:
https://repository.isls.org//handle/1/6670
Title: | Visualizing Qualitative Data: Creative Approaches for Analyzing and Demonstrating Lively Data from Diverse Learning Settings |
Authors: | Jung, Yong Ju Dudek, Jaclyn Yan, Shulong Borge, Marcela Kim, Soo Hyeon Liao, Jian Shapiro, Ben Zimmerman, Heather Toomey |
Keywords: | Learning and Identity |
Issue Date: | Jun-2020 |
Publisher: | International Society of the Learning Sciences (ISLS) |
Citation: | Jung, Y. J., Dudek, J., Yan, S., Borge, M., Kim, S. H., Liao, J., Shapiro, B., & Zimmerman, H. T. (2020). Visualizing Qualitative Data: Creative Approaches for Analyzing and Demonstrating Lively Data from Diverse Learning Settings. In Gresalfi, M. and Horn, I. S. (Eds.), The Interdisciplinarity of the Learning Sciences, 14th International Conference of the Learning Sciences (ICLS) 2020, Volume 1 (pp. 438-445). Nashville, Tennessee: International Society of the Learning Sciences. |
Abstract: | This structured poster session aims to showcase novel approaches of qualitatively analyzing and communicating lively data—data that is complex, nuanced, multimodal, and multi-voiced. Such data is rich but also messy, often defying the traditional text-based forms of description and presentation. Therefore, the session pairs creative techniques and methods to analyze, triangulate, and/or visualize qualitative findings across multiple data sources (e.g., video, digital and physical spaces, participant artifacts, and patterns of movement) from diverse learning contexts (e.g., museums, libraries, outdoor spaces, and classrooms)—beyond showing transcriptions. The visual format of the session supports our goal of sharing and communicating rich data stories for further discussion with diverse audiences. |
URI: | https://doi.dx.org/10.22318/icls2020.438 https://repository.isls.org//handle/1/6670 |
Appears in Collections: | ICLS 2020 |
Files in This Item:
File | Size | Format | |
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438-445.pdf | 728.9 kB | Adobe PDF | View/Open |
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