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Guide to Using Data in School Improvement Efforts

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Mary Kirk

on 21 March 2013

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Transcript of Guide to Using Data in School Improvement Efforts

A Guide to Using Data in School Improvement Efforts The Journey Toward
Successful School Improvement Goal-Setting Data Use Essentials:

1. Develop a Leadership Team
2. Collect various types of data
3. Analyze data patterns
4. Generate hypotheses
5. Develop goal-setting guidelines
6. Design specific strategies
7. Define evaluation criteria
8. Make the commitment to follow through "What separates successful schools from those that will not be successful in their reform efforts is the use of one, often neglected, essential element--data."
Victoria Bernhardt, 2004 Multiple Measures of Data Demographics Perceptions Student Learning School Process Enrollment, attendance, drop-out rate, ethnicity, gender, grade level Perception of learning environment, values and beliefs, attitudes and observation Description of school programs
and processes Standardized tests, norm/criterion referenced tests, teacher observations of abilities, authentic assessments Collaboration "Easier said than done, successful collaboration requires leadership skills in creating numerous and diverse partnerships, sustaining a vision, focusing on group problem-solving, using conflict resolution, and compromising." Reflection "On the school improvement journey, reflection is necessary not only for staying on the improvement path but also for discovering the best path." Plan Do Study Act School Improvement Cycle DATA Reflective Collaboration STOP! Develop a Leadership Team Analyze and Synthesize Data Although analysis can be conducted with statistical programs and electronic data tools, another process cannot be overemphasized: digging through the data, finding patterns, diagramming observations, and collaborating about what is seen. It is a powerful process. Working in a team, individuals can discover new ideas and views by collaborating with their teammates—discoveries they would never have made on their own." "Formulating questions in response to the data (e.g., Why are our eighth-grade students meeting the standards in math but not in language arts?) and considering responses to these questions, often by consulting additional data, may lead to possible explanations for observed data patterns. These explanations are called hypotheses. The goal of this process is to get closer to the root causes of your children’s performance problems. This goal enables you to take specific actions to help your children perform at the levels of excellence set forth." Strategies for
Achieving Goals "One area of goal setting that often gets left behind is building in an evaluation plan from the start. It’s one thing to set goals, but it’s quite another to deliberately evaluate your success— using data as your guide—against the initial goal." Evaluation Planning The information and quotations in this presentation come from the pdf, "A Guide to Using Data for School Improvement Efforts" by Learning Point: A Compilation of Knowledge from Data Retreats and Data Use at Learning Point Associates." December 2004

http://www.learningpt.org/pdfs/datause/guidebook.pdf
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