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Solidifying the Impact of Your Data Culture: The Bricks and Mortar

Solidifying the Impact of Your Data Culture: The Bricks and Mortar. Patience Oranika and Marcus Vandiver, Ed.D Alabama Department of Education Research & Development Section. OBJECTIVE.

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Solidifying the Impact of Your Data Culture: The Bricks and Mortar

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  1. Solidifying the Impact of Your Data Culture:The Bricks and Mortar Patience Oranika and Marcus Vandiver, Ed.D Alabama Department of Education Research & Development Section

  2. OBJECTIVE • The objective of this presentation is to provide practical steps on how to utilize data as an ally in day-to-day operational decision-making

  3. ALSDE Vision “Every child a graduate, Every graduate prepared for college/work/adulthood in the 21st century.”

  4. Data Use • Formulate Appropriate and Effective Education policy • Measure Program effectiveness • Measure Student Progress • Guide Curriculum Development • Determine Allocation of Resources • Report Progress to the Community

  5. Data Use Theory of Action

  6. Conditions for Data Use

  7. Data Quality • Accuracy • Access • Disaggregate

  8. Data Capacity • Critical to Powerful Data Use • Engine that Converts the Fuel to Energy • Necessary for Data-Driven Decision Making • Organizational Factors • Technology • Data Accessibility • Data Literacy and Assessment Literacy

  9. Data Culture • Organization belief in Continuous Improvement • Transfer from Belief into Practice. • Clearly Articulated Vision for Data Use • Belief in the Efficacy of Data Driven Teaching and Learning

  10. Data Culture • Accountability • Collaboration at All Levels • Modeling of Data Use • Commitment to Making Ongoing Instructional and Programmatic Improvements.

  11. Data Driven Actions • Policy Change • Program Alignment • Practice in Pedagogy • Placement of Students

  12. Implications • Careful attention to conditions in which data is used is essential to effective, sustainable data use culture. • At the core of effective data use is student focused data use • Educational leaders are encouraged to consider the component presented here in planning for data use at the district level and at the school level.

  13. References • Alabama Department of Education (2012). Plan 2020. Retrieved from www.alsde.edu • PCG Education (2010 ). A practical framework for building a data-driven district or school: How a focus on data quality, capacity, and culture supports data –driven action to improve student outcomes. Retrieved from www.pcgeducation.com

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