Anne Bubnic's List: Data/Data Driven Decision Making

The JFTK Best Practice Framework features three primary components: Organizing Themes, Organizational Levels, and School System Practices. The Framework rests on the state standards as a basis for teaching and learning.

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JFTK CTAP4data practices best practices on 2008-05-02

This site is intended to help K-12 educators work with raw student and school data.

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raw data tutorial on 2008-04-21 and saved by 37 people

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.

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NSBA DDDM d3m on 2008-04-21

Karen Greenwood Henke: Presentation at the 12th Annual COSN Conference, San Francisco. Presentation on the COSN Data Driven Decision Making Initiative.

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d3M data driven decision making assessment COSN video d3m on 2008-04-23

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

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ctap4data student achievement data driven decision making d3m on 2008-05-02

The purpose of this technical report is to develop a better understanding of the assessment and accountability practices and policies that educators are implementing in the classrooms, schools, and districts and to examine whether those policies are associated with perceived school and student improvements in achievement.\n\nThe study provides descriptive information about the need for schools and districts to effectively use data, how schools and districts use data to guide classroom practice, and the difference in data use based on the level of student proficiency in individual schools.

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ctap4data student achievement NSBA d3m on 2008-05-02

How schools can harness data over the long term to raise student achievement in a consistent, sustained manner. Technology & Learning Magazine, Oct 2005.

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ctap4data student achievement making d3m on 2008-05-02

Delivering targeted instruction to students at all levels isn’t easy. Here are some straightforward strategies. June 15, 2005

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student achievement data driven decision making d3m on 2008-04-23

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data driven decision making student achievement d3m on 2008-04-23 and saved by 2 people

Data warehousing has become an essential district tool. Historically available only to large corporations due to price and complexity, data warehousing is now an affordable and manageable option for gathering, manipulating and incorporating district data. While the inclusion of a data warehouse can be a boon for districts, the process of its development and support needs careful planning and management.

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ctap4data data warehouse d3m on 2008-05-02

From judging performance to guiding students to shaping instruction to informing learning, coming to grips with informative assessment is one insightful journey.

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ctap4data informative assessment tomlinson classroom assessment on 2008-08-20 and saved by 77 people

One of the most vexing problems in American education is the achievement gap. Schools and districts are tackling the problem in different ways and seeing results. The first step in dealing with the achievement gap is acknowledging that the problem exists. Yet not all districts break down student performance data to show how various racial and ethnic groups perform.

www.annenberginstitute.org/...gap_cj.htm - Preview

annenberg achievement gap d3m on 2008-04-23

Based on research conducted by the California P-16 Council, the CDE and other partners involved in this project, specific recommendations have been proposed to address the achievement gap among student subgroups. <br>Note Recommendation #11: Design, develop, and implement coherent and relevant professional development in the areas of data collection, analysis and interpretation<br>

www.closingtheachievementgap.org/...research.htm - Preview

achievement gap ctap4data d3m on 2008-05-02

This book [by Ruth S Johnston] is a step by step recipe book for using data in your schools. It answers the who, what, when, where, and how. The book is not a complicated read and it is an excellent book for a book study with the entire staff.This book will help staffs to understand how data can help to improve the climate and culture in a school, instruction and the academic outcome of all students.

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ctap4data achievement gap book on 2008-05-02

This Web site is designed to give educators—and others involved in using data in a classroom, school, or district—a variety of places to find resources, tools, and action steps to foster school improvement.

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ncrel ctap4data d3m on 2008-05-02 and saved by 14 people

Link student assessments with instruction. A one-stop web-based location to review data management systems based on approved criteria.

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ctap4data data management ELAR data warehouse d3m assessment on 2008-05-02 and saved by 2 people

The following handouts specifially cover data topics from the 2008 AASA Conference:

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d3m ctap4data on 2008-04-30

How schools can move beyond D3M to embrace a culture of education performance management.

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D3M ctap4data on 2008-04-30 and saved by 3 people

With a significant and growing population of linguistically diverse learners, careful measures must be taken to ensure equitable assessment of students' performance. If not, the achievement gap between the "advantaged" and "disadvantaged" will widen in our society (NCEST, 1992). Studies over the last decade have resulted in findings that can be translated into guidelines that can assist in equitable assessments. However, it will be up to state and local education agencies to begin the process of crafting assessments that reflect this knowledge and meet the educational needs of their student populations.

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ctap4data student assessment on 2008-04-30

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.<br>
Stage 1: Define the Outcomes <br>
Stage 2: Define the Questions <br>
Stage 3: Collect and Sort <br>
Stage 4: Extract Meaning <br>
Stage 5: Take Action <br>
Stage 6: Evaluate Outcomes, Modify as Needed<br><br>

www.thejournal.com/22397 - Preview

ctap4data DDDM assessment data management on 2008-05-01