Author ORCID Identifier
https://orcid.org/0000-0001-8070-0952
Document Type
Conference Proceeding
Publication Date
2020
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.
Recommended Citation
Jung, Yong Ju; Dudek, Jaclyn; Yan, Shulong; Borge, Marcela; Kim, Soo Hyeon; Liao, Jian; Shapiro, Benjamin R.; and Zimmerman, Heather Toomey, "Visualizing Qualitative Data: Creative Approaches for Analyzing and Demonstrating Lively Data from Diverse Learning Settings" (2020). Learning Sciences Faculty Publications. 45.
https://scholarworks.gsu.edu/ltd_facpub/45
Comments
Originally published in:
Jung, Y. J., Dudek, J., Yan, S., Borge, M., Kim, S. H., Liao, J., Shapiro, B.R., & Zimmerman, H. T. (2020). Visualizing Qualitative Data: Creative Approaches for Analyzing and Demonstrating Lively Data from Diverse Learning Settings. In Proceedings of the 14th International Conference of the Learning Sciences (ICLS) 2020, Volume 1 (pp. 438-445). Nashville, Tennessee: International Society of the Learning Sciences.
https://repository.isls.org/