This article bridges theories and insights from critical data scholarship by asking how community organizers from minoritized communities conceptualize data. Prior research has defined these socially and culturally constructed definitions about what data are and what data do as “data imaginaries.” This study draws on 40 qualitative interviews with community organizers involved in issues like immigration, reproductive justice, education, and policing. Our study takes metaphors given to us by community organizers (i.e., ammunition, teeth, receipts, compass) to reveal their data imaginaries. Particularly, their data imaginaries define what data means to them and what purpose it serves in their organizing. We find that community organizers also shared critiques of the ways data has been used to oppress minoritized groups. Given these findings, we conclude by encouraging future work that explores how community organizers experience and articulate epistemic burdens.
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Refining qualitative ethnographies using Epistemic Network Analysis: A study of socioemotional learning dimensions in a Humanistic Knowledge Building Community
Contemporary educational research has increasingly pointed to socioemotional dimensions of learning as important in promoting academic progress and sociocognitive developments. Epistemic Network Analysis, a methodology for producing quantitative ethnographies based on complex learning environments, has only begun to examine socioemotional facets of learning in classrooms. The aim of this research is to investigate what and how Epistemic Network Analysis can contribute to qualitative, socioemotionally-focused ethnographies of classroom learning communities. To do this, we employed Epistemic Network Analysis to analyze data collected during a semester of studies, in parallel to a stage developmental analysis of the same community using qualitative methods. The results of this study specifically show the importance of prior experience and how this interacts with participants' connectedness to the community, as well as how group dynamics are a vital aspect of community discourse and that the socioemotional dimensions that people attach to it may be the determinants of stage advancement. More generally, this study shows how Epistemic Network Analysis can be used to better understand complex socioemotional phenomena in learning communities by combining it with deep, qualitative ethnographies.
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- Award ID(s):
- 1661036
- PAR ID:
- 10248634
- Date Published:
- Journal Name:
- Computers and education
- Volume:
- 156
- ISSN:
- 2666-920X
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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