Data-Driven Decision Making

Paper Summary:

The paper explains data-driven decision making (DDDM) in education as the collecting and analyzing of various types of data in order to improve the success of students and schools. The paper notes the many benefits of data-driven decision making. The writer points out, however, that there has to be a balance of how much emphasis is placed on the data. The writer concludes that with such a balance, he/she would be in favor of data-driven decision making.

Outline:
Abstract
Introduction
Conclusion

From the Paper:

"Data-driven decision making(DDDM) in education refers to teachers, principals and administrators systematically collecting and analyzing various types of data, including input, process, outcome and satisfaction data, to guide a range of decisions to help improve the success of students and schools (Hamilton, 2003). Schools have been collecting data for decades but because of the No Child Left Behind (NCLB) Act, most school districts are now using the data to determine school improvements which is a result of data-driven decision making. Every state and most districts have some type of data management system in place. Data-driven decision making provides options which require implementing a productive system to analyze data. According to the American Association of School Administrators (2002) research, data can be a powerful tool for school districts. If used properly, data can help districts improve student achievement as well as many other areas."

Sample of Sources Used:

• American Association of School Administrators. (2002). Using Data to Improve Schools: What's Working.
• Hamilton, L. (2003). Assessment as a Policy Tool. Review of Research in Education, 27(25).

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