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Case Study: Using Data-Driven Decision-Making To Increase Student Achievement

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Using Data-Driven Decision Making to Increase Student Achievement:

The Impact on Student Programs and Services

With the new SAGE testing occurring in the state of Utah, the grading of schools and the Prosperity 2020 initiative, schools are using data-driven decision making to help increase student achievement and improve student programs and services more than ever. Piute School District is no exception. I teach at Piute High School and we take an active approach in using available data to guide continuous improvement and provide a complete picture of student learning. In this paper, I will provide details of how data-driven decision-making is shaping student support services, grading and evaluation practices, curricular considerations and instructional processes. I will look at how actions and interventions at Piute High School is improving student learning. Piute High School is a small, rural junior senior school that serves approximately 160 students grades 7-12. It is the only high school in the second smallest district in the state of Utah. Piute County is the poorest county in Utah. Over 90 percent of our students are bussed in to the school located in Junction. It is important to know …show more content…
The district feels that student support services are a vital part of comprehensive school program success. Piute High School provides academic tutoring, academic and personal counseling services, and support services. Every student at Piute High School is provided one-to-one devices for technology. Each student has an I-pad provided by the school as they enter seventh grade. Several organizational support systems have been added with the implementation of a district safety team and regular safe school drills. PLC teams have been added and the revision and adoption of many policies such as bullying and suicide prevention plans are now in

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