Making data part of instructional planning can be challenging, especially if teachers are not used to thinking about assessment and data as a regular part of the process. This article offers helpful tips.
April 2008 : THE Journal. As each district progresses, it will face new challenges discerning what data is relevant, addressing tolerance for change among users, and figuring out how to respond now that data is driving its decision-making. \nStage 1: Define the Outcomes \nStage 2: Define the Questions \nStage 3: Collect and Sort \nStage 4: Extract Meaning \nStage 5: Take Action \nStage 6: Evaluate Outcomes, Modify as Needed
Using Data to Improve Schools: What's Working is an easy-to-read guide to using data to drive school improvement. School system leaders and their staffs can learn from this book how to build a districtwide culture of inquiry that values the use of data for sound decision-making.
School board members, parents and community members interested in helping improve schools will find tools for their work as well in this guide. It describes the challenges and the successes of educators from districts both large and small committed to using data.
Our goal as educators should be to veer from an equal learning experience toward an equitable learning experience. Our job is to make sure all students have a fair, and possibly unequal, learning experience. Ensuring that each student has a fair opportunity to succeed means that one student's path may look very different from another's.
Analyzing your data is a process in which you will want to involve your entire staff. Good data-driven dialogue keads to data-driven decisions. If you engage staff in an ongoing data dialogue, it is much more likely that you will feel ownership for the data-based decisions you collectively make.
Analyzing your data is a process you will want to involve your entire staff. There are a number of variables that will help you determine the best strategy for your school including the size of staff, organization of teams, availability of computers with Internet, and the amount of staff meeting time. The critical piece is that you model the importance of data analysis and that you involve (mandate) all staff in the process. The odds of teachers making the instructional changes needed for improved student achievement are much greater when the data and what it tells them about current achievement.
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Well before the idea of using data to manage schools gained prominence on the national stage, Oklahoma's Western Heights school district had made the ideal of real-time, data-driven decisionmaking a reality. Back in 2001, Superintendent Joe Kitchens was already being spotlighted for his focus on creating a longitudinal-data system that would give teachers in the 3,400-student district the ability to make quick decisions to improve student learning, while reducing the time spent compiling reports.
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