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Session Type: Symposium
This symposium explores the ways that educational researchers combine research on large datasets, or ‘big data,’ with more fine-grained, or ‘small’, analyses. Our papers explore the ways that using multiple approaches to large datasets result in nuanced findings. In keeping with the conference theme “Knowledge to Action: Achieving the Promise of of Equal Educational Opportunity,” our symposium’s guiding question is: how does educational research that uses both big and small data help educators enact equity in their research practice, pedagogy, and classrooms? Each papers uses a specific research project as a lens to discuss methodological challenges around using big and small data toward achieving more equitable outcomes in a variety of educational spaces.
Combining Data Sets and Methods to Explore Equity in Teacher Professional Development - Spencer Paul Greenhalgh, Michigan State University; Matthew J. Koehler, Michigan State University; Joshua Michael Rosenberg, The University of Tennessee - Knoxville
Big Data, Small Data in Personalized Learning Professional Development - Heather Greenhalgh-Spencer, Texas Tech University
Tweeting Alongside Teachers: The Need for an Emic Approach in Researching Educational Social Media Uses - Daniel G Krutka, University of North Texas
Discourses of Research: Toward Transdisciplinary Research on the Tweets of Teachers - Jessica Hochman, Pratt Institute; Doris A. Santoro, Bowdoin College; Stephen Houser, Bowdoin College; Clare Bates Congdon, Bowdoin College; Bridget Gavlin, Pratt Institute
Combining Human and Automated Analyses for Collaboration Dynamics: How Do Small Groups Participate Equitably? - Catherine Louise Dornfeld, University of Wisconsin - Madison; Matthew W. Berland, University of Wisconsin - Madison; Sadhana Puntambekar, University of Wisconsin