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Implementation of a collaborative data use model in a United States context
Institution:1. Texas Christian University, TCU Box 297900, Fort Worth, TX 76129, USA;2. University of Missouri—St. Louis, 258 Marillac Hall, 1 University Blvd., St. Louis, MO 63121-4400, USA;3. University of Twente, Faculty of Behavioural, Management and Social Sciences, Ravelijn 5446, P.O. Box 217, 7500 AE Enschede, the Netherlands
Abstract:Collaborative data use requires educator capacity in moving data to action to address root causes of student underperformance. Implementation of the model used in the present study has proved promising in European countries for building educator capacity and addressing problems-of-practice, but this model has not been studied in the United States (US), where structural issues and accountability factors present different challenges. In the present study, we explored enabling and hindering factors of the implementation in an elementary school in the US to better understand how differences in policy and practice contexts influence collaborative data use. Organizational structures and some policies in the US hindered implementation. Drawing on our findings, we suggest shifting thinking around data use to accommodate for both short cycles of data use (for straightforward problems) and intentionally slow cycles for stickier problems; furthermore, nesting collaborative data use within high-priority initiatives may help mitigate barriers to future implementations.
Keywords:Data-driven decision making  Data-informed decision making  School improvement  Collaborative inquiry  Implementation
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