Theoretical Frameworks for Data Analysis Strategies


Leaders in education are challenged with the task of using data in effective ways in order to communicate the learning and instructional needs of all students. Facilitating data-driven decisions involves implementing structures and creating school environments that promotes thoughtful engagement with data in order to foster continuous improvement, cultivating a shared vision, building human capacity, and modifying systems to promote equity and access for student support and achievement (Datnow & Park, 2014). This paper provides a brief overview of the theoretical frameworks for data analysis strategies (formative assessments, summative assessments, growth models and interim assessments), followed by a data analysis of Will Rogers Middle School of San Juan Unified School District. In conclusion, a brief summary of the data findings are provided along with five identified goals suggested for implementation at Will Rogers Middle School.

Link To Document on Data Analysis:
https://drive.google.com/file/d/1Y8NUV3kHIJw4zGgeMkbwSGRx-BPmg5vH/view?usp=sharing

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