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What is Data-Driven Decision-Making (DDDM) and what should be considered before selecting and implementing Electronic Learning Assessment Resources (ELAR)? The following questions should be understood and/or addressed prior to making the time and funding investment to use an ELAR in your school or district.

This case study from the Consortium for School Networking (CoSN) provides an up-close look at how one of these trailblazers has established a sustainable strategy for data-driven decision making (DDDM).

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

From the Annenberg Institute. Using Data for Decisions. A study of four leading-edge districts suggests what it might take to create a system that provides useful information about early signals of progress toward academic achievement.

From PBS 39 Education. What is data driven decsion making and why is it needed? Using data is critical in strategies for student achievement.

Increasingly, school board members from around the country are using data to help make good decisions about improving public education for all children. As school districts across the country grapple with how to think systemically and strategically about reaching student achievement goals and forging creative solutions from standardized test data, data-driven decision making can be used to inform board decisions.

"Data-based decisions"-the phrase has become a buzzword in education over the last few years. However, it does make sense that using information to help clarify issues, identify alternative solutions to problems, and target resources more effectively will lead to better decisions. The real question should not be whether to integrate the use of data in decision making, but how.Finding good data and using it effectively is actually a complex process-one that many schools and districts are just beginning to address. One specific type of data-based decision making that shows promise for helping schools dramatically increase student achievement is the use of assessment data to drive instructional improvement

NCREL has gathered a selection of web-based tools for collecting information, ranging from checklists to surveys, and including information about software tools for data collection and analysis. A tutorial provides an overview of the use of data in school improvement; a bibliography and background section are also included.

Simple strategies & tools to make sense of your student achievement data from Dennis Fox. The site includes downloadable workshop handouts.

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.

How to build a data warehouse that unifies your information infrastructure and meets the new accountability demands head-on

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