Student academic performance stochastic simulator based on the Monte Carlo method

Caro Huertas, Eduardo; González Fernández, María Camino y Mira McWilliams, José Manuel (2014). Student academic performance stochastic simulator based on the Monte Carlo method. "Computers & Education", v. 76 ; pp. 45-54. ISSN 0360-1315. https://doi.org/10.1016/j.compedu.2014.03.007.

Descripción

Título: Student academic performance stochastic simulator based on the Monte Carlo method
Autor/es:
  • Caro Huertas, Eduardo
  • González Fernández, María Camino
  • Mira McWilliams, José Manuel
Tipo de Documento: Artículo
Título de Revista/Publicación: Computers & Education
Fecha: Julio 2014
Volumen: 76
Materias:
Palabras Clave Informales: Stochastic simulator, Monte Carlo method, Student academic performance
Escuela: E.T.S.I. Industriales (UPM)
Departamento: Ingeniería de Organización, Administración de Empresas y Estadística
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

In this paper, a computer-based tool is developed to analyze student performance along a given curriculum. The proposed software makes use of historical data to compute passing/failing probabilities and simulates future student academic performance based on stochastic programming methods (MonteCarlo) according to the specific university regulations. This allows to compute the academic performance rates for the specific subjects of the curriculum for each semester, as well as the overall rates (the set of subjects in the semester), which are the efficiency rate and the success rate. Additionally, we compute the rates for the Bachelors degree, which are the graduation rate measured as the percentage of students who finish as scheduled or taking an extra year and the efficiency rate (measured as the percentage of credits of the curriculum with respect to the credits really taken). In Spain, these metrics have been defined by the National Quality Evaluation and Accreditation Agency (ANECA). Moreover, the sensitivity of the performance metrics to some of the parameters of the simulator is analyzed using statistical tools (Design of Experiments). The simulator has been adapted to the curriculum characteristics of the Bachelor in Engineering Technologies at the Technical University of Madrid(UPM).

Proyectos asociados

TipoCódigoAcrónimoResponsableTítulo
Gobierno de EspañaDPI2011-23500Sin especificarSin especificarSin especificar

Más información

ID de Registro: 36012
Identificador DC: http://oa.upm.es/36012/
Identificador OAI: oai:oa.upm.es:36012
Identificador DOI: 10.1016/j.compedu.2014.03.007
URL Oficial: http://www.sciencedirect.com/science/journal/03601315/76
Depositado por: Memoria Investigacion
Depositado el: 23 Feb 2016 19:24
Ultima Modificación: 01 Ago 2017 22:30
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