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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.

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.

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.

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).

With over 420,000 students and more than 600 schools, Chicago Public Schools finds itself in all three stages of data-driven decision making at once: collection, analysis, and action. The master data warehouse is nearly complete and will be rolled out in fall 2007 along with systems for specialized services management, curriculum instruction, and student information. Analysis is handled by the Office of Research and Analysis and published on a dedicated research Web site (http://research.cps.k12.il.us). The Principals Technology Leadership Institute (PTLI) is training principals in the art and science of using data for decision-making within their schools.

It seems like you can't go a whole week lately without hearing about some major data security breach that has made national headlines. For businesses, these data leaks are bad enough-but for schools, they can be especially costly, as network security breaches can put schools in violation of several federal laws intended to protect students' privacy.

This book 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."

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.

The 2008 California Standardized Testing and Reporting (STAR) Program test results for schools, counties, districts, and the state are available at this site. Test results are reported for the six components of the STAR Program:

This site is for district STAR coordinators. The site was developed and is maintained by Educational Testing Service (ETS) under contract with the California Department of Education (CDE). The CDE has contracted with ETS for the development, administration, scoring, and reporting of the California Standards Tests, the California Modified Assessment, the California Alternate Performance Assessment, and the Standards-based Tests in Spanish.

A major purpose of the monitoring plan is to put in place a system for the ongoing collection of data aligned with the content standard indicators/objectives you are responsible for teaching. You can't analyze data you don't have. And it is not useful to analyze data that is not aligned with your learning outcomes. Once you have the data, you are ready to analyze it.

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.

Here is a suggestion for the use of this article with colleagues. You will need a list of the 10 understandings and copies of the article written by Carol Ann Tomlinson.
Informative assessment:
1. isn't just about tests.
2. really isn't about the gradebook.
3. isn't always formal.
4. isn't separate from the curriculum.
5. isn't about "after."
6. isn't and end in itself.
7. isn't separate from instruction.
8. isn't just about student readiness.
9. isn't just about finding weaknesses.
10. isn't just for the teacher.

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