The Evolution of Big Data and Learning Analytics in American Higher Education

Picciano, Anthony G. (2012) The Evolution of Big Data and Learning Analytics in American Higher Education. Journal of Asynchronous Learning Networks, 16 (3). pp. 9-20.

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Official URL: http://eric.ed.gov/?id=EJ982669

Abstract

Data-driven decision making, popularized in the 1980s and 1990s, is evolving into a vastly more sophisticated concept known as big data that relies on software approaches generally referred to as analytics. Big data and analytics for instructional applications are in their infancy and will take a few years to mature, although their presence is already being felt and should not be ignored. While big data and analytics are not panaceas for addressing all of the issues and decisions faced by higher education administrators, they can become part of the solutions integrated into administrative and instructional functions. The purpose of this article is to examine the evolving world of big data and analytics in American higher education. Specifically, it will look at the nature of these concepts, provide basic definitions, consider possible applications, and last but not least, identify concerns about their implementation and growth. (Contains 1 table and 2 figures.)

Item Type: Article
Uncontrolled Keywords: College Administration, College Instruction, Computer Assisted Instruction, Computer Managed Instruction, Computer Software, Data, Data Analysis, Databases, Decision Making, Decision Support Systems, Definitions, Educational Policy, Educational Technology, Electronic Learning, Higher Education, Influence of Technology, Information Security, Policy Analysis, privacy
Subjects: Educational technology > Learning analytics
Education (General) > Higher education
Divisions: Higher education, Universities, Vocational training, Colleges
Depositing User: Elizabeth Dalton
Date Deposited: 14 Dec 2016 06:38
Last Modified: 15 Dec 2016 01:54
URI: http://research.moodle.net/id/eprint/137

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