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Predicting H.S. Dropouts With Pervasive Databases
rhadamanthus writes "As seen on the Houston Chronicle: 'With a new computer database available at every campus this fall, teachers can keep a virtual eye on every student and identify those at risk of leaving. For the first time, educators can look up a student's attendance, discipline, immigration status, grades, and test scores at one source and use that information to predict dropouts. ... "All students will know someone is watching them, tracking them, and is interested in their success," school board member Laurie Bricker said at a press conference today.' Hooray for surveillance in the HISD."
"These are very tangible and reasonable criteria they're using to make these determinations."
As a part time university teacher I found out when one student was giving me trouble that he had been giving others trouble as well. I was not told of the trouble because that information would have biased my perseption of and treatment of that student. That is an important principle that may be violated here if "teacher" were to get ahold of that data.
Schools administrations would use the data for those things that were most important to them. This may include avoiding lawsuits, eliminating trouble makers. With limited budgets and overcrouded classrooms the insentives would be to diminish classroom size and be able to apply budget to where it would be most effective. You know the current political envirionment is one to privatize or business-tize all activity.
Now with that information would be very useful to at tracking teachers. Lets see, at teacher that has mass defections, well lets get rid of them. Or classes that have certain individuals attending, show scores dropping (trouble makers and cultural disruptors). The data mining capabilities are endless. But of course the adminsitrators would never think of using the data in these ways.
I am reminded of a story where a friend had a meeting with their boss. The boss offered them a project. They said they would like it. It was given to someone else. The reason was the boss said that even though she said yes, her body language said no. The same danger is here with the interpretation or "profiling" of individuals from scan data.
Kill them all and let God sort it out.