Human Resource

Companies Offer Big Data Tools to Predict Teacher Candidates’ Impact

Can big data and predictive analytics help school leaders hire better teachers?
That’s the new pitch being made by two companies: TeacherMatch, from Chicago, and Washington-based Hanover Research. Both claim that their new algorithm-driven teacher-selection tools can predict the impact teacher candidates will have on student test scores should they be hired, which they argue would be a significant upgrade over the screeners currently in use.
Between them, the companies say they have signed up nearly two dozen districts and charter organizations already.
“I’m seeing a shift in the way that [K-12] human resources departments are viewing themselves,” said TeacherMatch CEO Don Fraynd. “There’s a whole new breed of folks who are saying that we’re in charge of finding teachers…shouldn’t we care about student achievement?”

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