Decode Data Science Speak With This Glossary for Higher Ed

Colleges and universities are awash in data and under increased pressure to quantify and improve student outcomes. As a result, higher-education practitioners and policymakers have, in turn, welcomed the application of data science in higher education. Pernicious challenges, they hope, can be better understood by data scientists who can bring disparate data sources together to help tell better stories around student progression, challenges,and success. Products and services that claim to bring “predictive analytics” and algorithmic analyses to bear on institutional efficiency and student services abound. And therein lies the challenge. The application of predictive analytics is relatively nascent in higher education. The lexicon is still evolving. Presidents and provosts, enthusiastic about the potential, battle initiative fatigue and remain wary of the next big thing. In such a dynamic marketplace, it…

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