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New America today released a paper that analyzes the use of data to predict student success, so-called predictive analytics. The practice, which is spreading rapidly, allows colleges to better intervene when students struggle, helping them chart a more direct line to graduation and better enabling the use of customized digital learning tools.
However, the use of predictive analytics also comes with risks, the think tank warned, including privacy concerns and a heightened possibility of discrimination, such as by profiling and discouraging capable students.
“There are a number of examples of colleges using predictive data to make inroads in student success or operational functions. But that doesn’t mean we can or should turn a blind eye to the possibility that using this technology can go badly,” Manuela Ekowo, policy analyst with New America’s Education Policy Program and the report's co-author, said in a written statement.
