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Analytics for Prediction & Intervention of At-Risk Students in Higher Education

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Roger T. and Jeff D.
Analytics for Prediction & Intervention of At-Risk Students in Higher Education

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Data analytic techniques can now provide early identification of undergraduate students who are at risk of dropping out, which allows institutions of higher education time in which to intervene.

In this talk, the speaker (Roger Taylor) will review some of these data analytics techniques that are being used to improve college student success rates.

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Boston Learning Sciences Meetup
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