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As part of a three-year professional development (PD) experience, current and former classroom teachers and researchers explore using data to inform elementary and middle school teaching practices. The investigators (including the teacher co-researchers) apply a culturally responsive teaching (CRT) and computational thinking (CT) framework to 1) integrate CT and CRT into elementary science and 2) present and discuss teacher performance data relative to the PD’s goals. Together, they confront the researcher-practitioner divide that often minimizes and ignores the unique experiences of teachers. They advocate for researchers and school administrators to be transparent with their data practices, emphasize growth mindsets, and ground data in the contexts where teachers work.
Kristina Kramarczuk, University of Maryland
Stacey Bragger, Prince George's County Public Schools
Charlene Saint-Jean, University of Maryland
Mirna Callejas Lopez, University of Maryland
Donna Brumbaugh, University of Maryland
Edmond Saint-Jean, University of Maryland
Yue Xin, University of Maryland
Ebony Terrell Shockley, University of Maryland
Diane Jass Ketelhut, University of Maryland
Brian C. Nelson, Arizona State University