A system for relevance analysis of performance indicators in higher education using Bayesian networks

  • Authors:

  • Antonio Fernández;María Morales;Carmelo Rodríguez;Antonio Salmerón

  • Affiliations:

  • University of Almería, Department of Statistics and Applied Mathematics, 04120, Almería, Spain;University of Almería, Department of Statistics and Applied Mathematics, 04120, Almería, Spain;University of Almería, Department of Statistics and Applied Mathematics, 04120, Almería, Spain;University of Almería, Department of Statistics and Applied Mathematics, 04120, Almería, Spain

  • Venue:
  • Knowledge and Information Systems
  • Year:
  • 2011

Quantified Score

Hi-index 0.00

Visualization

Abstract

In this paper, we propose a methodology for relevance analysis of performance indicators in higher education based on the use of Bayesian networks. These graphical models provide, at first glance, a snapshot of the relevant relationships among the variables under consideration. We analyse the behaviour of the proposed methodology in a practical case, showing that it is a useful tool to help decision making when elaborating policies based on performance indicators. The methodology has been implemented in a software that interacts with the Elvira package for graphical models, and that is available to the administration board at the University of Almería (Spain) through a web interface. The software also implements a new method for constructing composite indicators by using a Bayesian network regression model.