Think back to your days in school. Your teacher has assigned a research paper. The topic: should your school require uniforms?
Just writing “yes, our school should have uniforms” will get you a failing grade. You have to hit the books. In the paper, you cite multiple studies you found on how wearing a uniform evoked a sense of pride in the students and made them better-behaved. You include a final paragraph advising your principal to poll students and teachers before enforcing uniforms at your school. Every school is different you tell her.
The paper was an exercise in persuasion.
When you open your own charter school, you are undergoing a similar process.
Say you decide that school on Saturdays is the key to success. In order to implement this policy, you need to present examples of successful Saturday programs. Perhaps you quote the research done by the highly credible Knowledge is Power Program (KIPP), a charter school network that has implemented Saturday school and increased student achievement. If your board of directors is skeptical of Saturday school success in your own city, you can compare student performance at two local schools, one which has class on the weekends and the other that teaches just Monday-Friday.
While this may be a rudimentary example, it demonstrates the first phase of data-driven decision making at the school-wide level. More specifically known as evidence-based practice, this type of extensive research is fundamental to your school’s success.
It has many perks. For one, you can create a better model by implementing programs that have been proven to work already and disregarding those that went sour. Also, by implementing strategies that have proven successful, donors will be less dubious of your project and more like to support you financially. Parents and students are equally more likely to enroll in your school.
Data-driven decision making does not stop after the initial model and curriculum are created. Once a school opens it’s doors, we see phase two of data-driven decision making: using the school’s performance results to make daily decisions and modifications. All schools have unanticipated problems. But, a school committed to data-driven decision making will monitor student performance in every class and use the results to tweak teaching methods and class structures to best meet student needs and promote student learning.
If small changes are not enough and there seems to be some larger problem, you go back to phase one. This means another exercise in evidence-best practice. You go back to Google and the books – ask your question, search through journal articles and program practices in search for a viable alternative.
By using data-driven decision making, we see a model oriented towards students — always adjusting based on their needs.
This is an exercise in accountability.
By studying what is going on in the classroom, you can assign teachers where they are most effective, train them in skills where they are lacking, and recognize when they should be let go. With this system in place, we hope the days of poor teaching and poor leadership gone unnoticed are no more.
A final perk: if your school can prove a positive change in student achievement, another city may want to replicate your model. Just imagine, other school developers may start using your model as the crutch of their own research.