Our interdisciplinary team combines expertise in educational theory, mathematics education, and computer science computational research in social media data analytics.
We use qualitative and quantitative approaches to examine teachers' engagement in social media and virtual spaces.
We model changes in teachers' resource access and sharing and diffusion of resources within social networks across physical and virtual spaces to make causal inference.
We use classroom observation, teacher interviews, and characterize the nature of teachers engagement online through in depth analysis of instructional content.
Alan Daly, Ph.D.-University of Southern California San Diego
Christine Greenhow, Ph.D.- Michigan State University
Martin Rehm, Ph.D.- PH Weingarten
Frank Cornelissen, Ph.D.-University of Cambridge
Mark Berends, Ph.D.- Notre Dame University
Bill Carbarnaro, Ph.D.- Notre Dame University
Diana Brandon, Ph.D.- Charleston Southern University
Ann Marie Mapes- Michigan Department of Education
Teachers in Social Media Alumni
Amanda Opperman- Michigan State University
Yun-jia Lo, Ph.D.- University of Michigan
Brianna Canedo- Michigan State University
Andy Jurasek- Michigan State University
Emily Emrick- Teach for America 2019 corps member- Indianapolis
Kimberly Jansen, Ph.D.- Middle Tennessee State University
John Lane, Ph.D.- Michigan State University
Study of Elementary Mathematics Instruction
Peter Youngs, Ph.D.- University of Virginia
Kristen Bieda, Ph.D.- Michigan State University
Serena Salloum, Ph.D.- Ball State University
Epistemic Network Analysis Team
David Williamson Shaffer, Ph.D.- University of Wisconsin
Drew Huang- University of Wisconsin
Sara Tabatabai-University of Wisconsin
Brendan Eagan- University of Wisconsin