Using Big Data to Evaluate Tablet-Based Education Apps

One Saturday in December, a group of 24 data scientists spent 24 hours in their Arlington office, racing to make sense of information about how students at a Northeast Washington charter school learn.
It was tech company Applied Predictive Technology’s first “data dive” — a hackathon-type blitz in which data scientists volunteer to crunch numbers over a short period of time, often for a nonprofit group. Employees from APT, which sells predictive analytics software, combed through data collected from educational tablet apps used at D.C. Prep, a District charter school with 1,200 pre-kindergarten through eighth-grade students distributed across four campuses.

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