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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