Data Mining in Higher Education

Technology continues to offer new opportunities. For those with the foresight and resources to take advantage, only. The game is a-changing in so many ways.

P.S. I should have posted this paragraph as an example:

Mr. Lange and his colleagues had found that by the eighth day of class, they could predict, with 70-percent accuracy, whether a student would score a C or better. Mr. Lange built a system, rolled out in 2009, that sent professors frequently updated alerts about how well each student was predicted to do, based on course performance and online behavior.

On the one hand, the measurements are pretty obvious (assignments not turned in, not logging in to the online course), but the professor often can’t (or doesn’t have time) to track all the students. Flagging ones with issues has real promise.

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