Student academic performance stochastic simulator based on the Monte Carlo method

Caro Huertas, Eduardo and González Fernández, María Camino and 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.

Description

Title: Student academic performance stochastic simulator based on the Monte Carlo method
Author/s:
  • Caro Huertas, Eduardo
  • González Fernández, María Camino
  • Mira McWilliams, José Manuel
Item Type: Article
Título de Revista/Publicación: Computers & Education
Date: July 2014
ISSN: 0360-1315
Volume: 76
Subjects:
Freetext Keywords: Stochastic simulator, Monte Carlo method, Student academic performance
Faculty: E.T.S.I. Industriales (UPM)
Department: Ingeniería de Organización, Administración de Empresas y Estadística
Creative Commons Licenses: Recognition - No derivative works - Non commercial

Full text

[img]
Preview
PDF - Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (6MB) | Preview

Abstract

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).

Funding Projects

TypeCodeAcronymLeaderTitle
Government of SpainDPI2011-23500UnspecifiedUnspecifiedUnspecified

More information

Item ID: 36012
DC Identifier: http://oa.upm.es/36012/
OAI Identifier: oai:oa.upm.es:36012
DOI: 10.1016/j.compedu.2014.03.007
Official URL: http://www.sciencedirect.com/science/journal/03601315/76
Deposited by: Memoria Investigacion
Deposited on: 23 Feb 2016 19:24
Last Modified: 01 Aug 2017 22:30
  • Logo InvestigaM (UPM)
  • Logo GEOUP4
  • Logo Open Access
  • Open Access
  • Logo Sherpa/Romeo
    Check whether the anglo-saxon journal in which you have published an article allows you to also publish it under open access.
  • Logo Dulcinea
    Check whether the spanish journal in which you have published an article allows you to also publish it under open access.
  • Logo de Recolecta
  • Logo del Observatorio I+D+i UPM
  • Logo de OpenCourseWare UPM