Guest post by Amy Mims
When I became an assistant principal of Independence High School in Charlotte, NC, our school’s test scores were low. As I started observing classrooms, I saw talented teachers hard at work designing and delivering interesting lessons that utilized a number of instructional best practices. I also saw motivated students who were engaged in lessons, completed assignments, and did well on assessments. I wondered: What was causing our school’s low test scores? (more…)
By Stuart A. Singer, Author of The Algebra Miracle
Perhaps because I am a former math teacher I cannot help myself. Maybe my extensive coaching background is what makes it even more compelling. Regardless of the precise motivator the fundamental conclusion seems so obvious.
Education needs to utilize data analysis more effectively.
Stats are bursting out all over
Data analysis can be a powerful tool for innovation in a multitude of endeavors. It can illuminate the path to better outcomes and accurately affirm success and failure. It is not, however, a static process. In order to maximize its effectiveness constant reevaluation is required. Otherwise conclusions made based on statistics can quickly become inaccurate and irrelevant.
One powerful example of such numerical evolution was evident in the aftermath of the gubernatorial election in Virginia. When the final results had been tabulated several newscasts explained the victory in these terms—the Democrat won the women’s vote by a larger margin than the Republican won the men’s. From there the speculation became focused on what specific issues had caused this “gender gap”.
But a day later another set of numbers presented a significantly different perspective. When one statistician divided the same voters into the category of either “married” or “unmarried” new conclusions emerged. A majority of married men and married women favored the GOP; unmarried men and women did not. Suddenly, because of these numbers the conversation and potential suppositions veered in a very different direction.
Similar numerical adjustments are occurring in the world of sports. A recent article in the Washington Post explained that the Nationals new baseball manager Matt Williams based a large portion of his improvement plan on the introduction of something new to the organization—data analysis. The plan is basic. An individual will be hired who will filter through the statistics provided (more…)