How data science helps Purdue predict student success

Most people know that a student who does well in a class would likely do well in another class, but could you predict whether a student would succeed based on how many times they logged into the campus network? With the explosion of data sets now available to them, Purdue University was able to analyze data from hundreds of thousands of successful graduates, to help prediction models for graduation rates and on-time graduations. Gerry McCartney, VP & CIO at Purdue, spoke about these new data sets and how Purdue usee them at the recent AGENDA16 conference. With more data available (from things like network login records and geolocation), they were able to make better predictions. Purdue then works with existing students and their advisors to help avoid any stumbling blocks…


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