Tracking ID To Detect Who Might Drop Out
The University of Arizona is tracking freshman students’ ID card swipes to anticipate which students are more likely to drop out. University researchers hope to use the data to lower dropout rates. Since every students has an ID with an embedded sensor, it is easy to track. The card data tells researchers how frequently a student has entered any building on campus/ buys anything.
With the data, the university creates lists every quarter of freshman students most likely to drop out and shares it with its staff. The hope is that the university will pinpoint which students need more support from advisers to stay on.
The University of Arizona’s retention rates in 2017 rose to 86.5 percent for residents and almost 89 percent for international students.
Still, algorithms can sometimes be wrong and biased.
It could be argued that this level of analyzing students’ social interaction data, which includes timestamps and locations, potentially violates students’ privacy. Is it necessary for schools to track student drop out rates to offer support? Do you think all schools should do this?