My initial response to Linda Darling-Hammond's first few chapters of “The Flat World and Education” is one of skepticism. With every turn of the page, I was thrust into a new set of data and charts representing what? I read an article this past year that flipped my entire perspective on the validity of data. With the increasing need for teachers to analyze data and make subsequent plans to rectify the areas of concern that present themselves, it has become second nature I’m sure to most. I was appointed to a school data committee and asked by administration to “re-package” the scores to make our school look more favorable. It was disappointing that our school had a poor reputation for low test scores, but even more depressing was the PR response: manipulate the data so it looks more positive. I can’t say exactly how I would intend on doing that, but the bottom line is: it’s possible. Research and data can be manipulated in many ways to support or refute claims. Ironically the same information can be used to achieve either end. So going back to the graphs presented in the chapter, I now ask what or how are they testing? How are they presenting the data? I am reticent to believe statistics that claim we are a certain ranking on a global level. It can be disheartening to think the US is so low in so many subject areas. The book highlights how other countries are investing in professional development or emphasizing the need for critical problem solving skills just to name a couple of “effective” educational practices to boost student achievement. Well, I think in relation to my school, and my classroom. Aren’t we doing the same? I suppose this statement suggests how localized I am. What I know, is that I don’t know much about what’s going on in other states. But I can be secure in knowing, I don’t trust this data, I can’t let myself be defeated by random statistics or rankings. I can only be encouraged to see that in my particular situation, we are making wise systemic choices. I have been provided ample professional education opportunities; it was up to me to take advantage of them. With the states’ mandate to complete the Mathematical Thinking for Instruction (MTI) course, it further supports the valuation we place on problem solving skills. So, I will continue to be wary of what I read, and mitigate the depressing impact it can have on my profession, because I see evidence in the classroom to the contrary.
The manipulation of test data is what got my blood boiling today when reflecting on graphs showing Texas gains due to NCLB enactment. When you leave out a subgroup (in this case lower performing students) on the exams it is not truly depicting the performance of a school’s report card, student’s abilities, and teacher performance. How can we say this is an effective measure of reaching all students if students are forced to drop out? To me that experience is equivalent to turmoil. If America wants to improve education we cannot leave out “some” students, instead we need to make education reachable for all
ReplyDeleteThank you for the reminder that data can and often is manipulated to meet specific needs. I have to confess there were so many graphs and charts that eventually I stopped trying to digest the data because a couple of them just flat confused me. I have to agree that it is appalling to purposely try to increase test scores by more or less "forcing" some students out of the process/increasing the likelihood they become drop outs, which again can lead to even costlier societal issues.
ReplyDelete"There are three kinds of lies: lies, damned lies, and statistics." - Mark Twain
ReplyDeleteI think that the most important aspect of any conversation or discussion that people have is the ability to tell the truth. It is understandable that we all come from different perspectives and we don't all see the world through the same lens, but if we are to have an informed debate, we must all agree to sit at the table and at least be honest with each other. I am not accusing Darling-Hammond of being deceitful, I actually think that she makes valid points and seems to have good data to support her claims. I do however think that we must approach any data with a skeptical eye and ask where it came from, how it was gathered, who gathered the info and why?
When it comes to data we can make it say what we want - just look at our own research we are doing but with this data yes it is overwhelming and confusing but a lot of is just there - the urban inner city schools and the rural schools like the ones here in Idaho for example have trouble getting funding compared to richer affluent suburban schools. And with more money you have better resources and better teachers who want to teach there and more educated families with children who are read to and have families who help with homework etc come to their schools and then the tests scores are better etc...It's like a weird cycle...
ReplyDeleteIf a neighborhood is bad no one wants to move there so property taxes go down and schools lose money ...