Building Community and Capacity for Data-Intensive Evidence-Based Decision Making in Schools and Districts

学校和学区的循证决策是一个不断发展的研究和实践领域，教师和管理人员围绕学生的数据聚集在一起，建立能力并为教学决策提供信息。该项目的目标是通过汇集大型和多样化的学区数据集，然后将数据科学的最新创新应用于教师和管理人员的数据分析试点和测试，围绕数据密集型循证决策建立一个研究人员-实践者社区。这将提供一个试验台和范例，用于刺激研究人员和当前学校领导之间围绕其学校目前使用的数据进行能力建设。这项研究将为当前的研究和实践提供信息，围绕数据分析和基于证据的实践，在学校中使用学区已经收集的数据。该项目的研究将超越单一学科，帮助为不同的研究领域提供信息，包括数据科学、统计学、教育数据挖掘、改进科学、基于设计的研究、教育研究和社会服务。此外，该项目将把研究人员和学校领导聚集在一起，围绕用于教育决策的密集数据分析建立社区和能力。该项目将发布并发布开源代码R代码。将代码发布为开放访问将提供一种帮助构建学区教育数据周期的方法，因为R代码将激励学区以这种方式存储和构建他们的数据，以便他们可以立即从该项目中生成的代码中实现分析和可视化。

Evidence-based decision making in schools and districts is a growing area of research and practice, in which teachers and administrators come together around their students' data to build capacity and inform instructional decision making. The goal of this project is to build a researcher-practitioner community around data-intensive evidence-based decision making through bringing together large and diverse school district datasets and then applying recent innovations from the data sciences to pilot and test data analytics with teachers and administrators. This will provide a test-bed and exemplars which will be used to spur capacity building between and among researchers and current school leaders around the data currently in use in their schools.This study will inform current research and practice around data analytics and evidence-based practice in schools using the data that districts already collect. Research from this project will extend beyond a single discipline, helping to inform a diverse set of research domains, including data science, statistics, education data mining, improvement science, design-based research, education research and social services. Furthermore, this project will bring together researchers and school leaders to build community and capacity around intensive data analytics for educational decision making. The project will publish and release the open source R code. Publishing the code as open access will provide a means to help structure school district education data cycles, as the R code will provide an incentive for districts to store and structure their data in such a way so that they can implement the analytics and visualizations immediately from the code that will be generated in this project.