It’s been almost a couple of months since my last post, and I find myself thinking of data again.
Earlier this month, the Gates Foundation released its cumulative findings on its 3-year Measures of Effective Teaching (MET) research project. They recommend a balanced approach which included observations and student perception surveys in addition to achievement test scores. If you look at the data in the report, much can be gleaned, yet it’s easy to see that effective teaching is a very complex thing to measure.
Also in the local news this week, teachers from a two different Seattle Public Schools, for various reasons, have stated they are going to boycott the district standardized test known as the Measures of Academic Progress (MAP).
There are many reasons standardized tests cause anxiety among students, teachers, parents, and school leaders. Often they are used as sorting mechanisms (admissions into schools, teaching effectiveness, and putting students on a certain track are just a few examples). Yet, if one approaches the data from these assessments with more purpose (to set new goals, to inform ones teaching, provide meaningful feedback, or guide learning), these measures can be useful.
Data today is abundant, but is it the right data? How data is collected, analyzed, and interpreted; how reliable it is; and what we do with it can make all the difference. Though the Gates Foundation and those Seattle Public School teachers are doing it differently, I’m glad there are many out there asking these questions.