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Session Type: Symposium
This symposium presents findings on teachers’ uses of accountability and test data and the impact on instructional improvement. Specifically the papers discuss: 1) how teachers’ uses of data for instructional differentiation expand or limit learning opportunities for students; 2) the influence of accountability policies and evaluation systems on teachers’ sensemaking about the role of data use for high-quality teaching; 3) teachers’ beliefs and uses of test data on literacy; and 4) teachers’ analysis of math assessment data for instructional improvement in workgroups. Together, the papers contribute to the field’s understanding of the potential and pitfalls of using testing and accountability data, how they constrain or enable instructional improvement, and whether it expands or constricts students’ opportunities to learn.
Opening or Closing Doors for Students? Equity and Data-Informed Instruction - Amanda L. Datnow, University of California - San Diego; Vicki Park, San José State University
What Counts as Quality Teaching? Who Decides? How Data-Centric Reforms Undervalue Teacher Sensemaking - Chris Bradford, University of Wisconsin - Madison; Melissa Braaten, University of Colorado - Boulder
A View Into Kindergarten Classrooms: Data Use Practices Within the Context of Literacy - Tonya R. Moon, University of Virginia; Marcia A. Invernizzi, University of Virginia; Catherine M. Brighton, University of Virginia; Jordan Buckrop, University of Virginia
Using Standardized Test Data as a Starting Point for Inquiry - Brette Garner, Vanderbilt University - Peabody College; Ilana S. Horn, Vanderbilt University; Britnie Delinger Kane, University of Colorado; Mollie H. Appelgate, Iowa State University; Jonee Wilson, North Carolina State University; Jason Brasel, Vanderbilt Peabody College