Work

Big Data Analysis in Higher Education: Promises and Pitfalls

Year: 2016

Type: article

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.

Source: Digital Access to Scholarship at Harvard (DASH) (Harvard University)

Authors: Christopher Dede, Andrew Ho, Piotr Mitros

Language: English

Topic: Online Learning and Analytics

Subfield: Computer Science Applications

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: green

OpenAlex ID: W2803315523

FWCI: 4.944

Cites:

Cited by: 36

Related to: 10