Hoy traemos a este espacio este artículo titulado
THE EVOLUTION OF BIG DATA AND LEARNING ANALYTICS IN AMERICAN HIGHER EDUCATION
 de Anthony G. Picciano en Journal of Asynchronous Learning Networks, v16 n3 p9-20 Jun 2012
Professor, Graduate Center and Hunter College, City University of New York (CUNY) Executive Officer of the Ph.D. Program in Urban Education Graduate Center (CUNY)

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.

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