Application of a new methodology Business Adaptive Intelligence for predictive taxonomic analysis applied to the early detection of university students at risk of dropping out.

Authors

  • M. F. Roldán Universidad Nacional de La Rioja

Keywords:

Adaptive Business Intelligence, Predictive Software, University Desertion, Methodology

Abstract

In this paper I analyze the institutional challenges of digitalization and increasing use of the new information and communication technologies (ICTs) for the processes of knowledge management in Latin American public universities. The discussion of these challenges is organized in two parts; in part one I deal with the difficulties created by knowledge privatization and, in particular, because of the worldwide features of privatization. In the second part I analyze the institutional consequences of the international mobility of highly skilled workers. Finally, I conclude with an outline of a proposal that describes the strategies and institutionalchanges that would permit the LatinAmerican public university to recover its visibility and reshape itself as a credible institutional actor by means of more pertinent and effective forms of knowledge management.

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Author Biography

M. F. Roldán, Universidad Nacional de La Rioja

Dpto. Académico de Ciencias Exactas, Físicas y Naturales. Universidad Nacional de La Rioja.

Published

2018-06-01

How to Cite

Roldán, M. F. (2018). Application of a new methodology Business Adaptive Intelligence for predictive taxonomic analysis applied to the early detection of university students at risk of dropping out. UNLaR Ciencia, 13(2). Retrieved from https://revistaelectronica.unlar.edu.ar/index.php/unlarciencia/article/view/405

Issue

Section

Artículos de Ciencias Exactas y Naturales