Big Data Analysis in Higher Education: Promises and Pitfalls

Christopher Dede, Andrew Ho, Piotr Mitros

Digital Access to Scholarship at Harvard (DASH) (Harvard University) · 2016 · 36 citations · 0 references

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Abstract

The grand challenge in data-intensive research and analysis in higher education is to find the means to extract knowledge from the extremely rich data sets being generated today and to distill this into usable information for students, instructors, and the public.