Discussion
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.
Full text not available from this repository. (Request a copy)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.org/id/eprint/137 |
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