Title: Simulating effect of parameter variation on the performance of an educational system

Authors: Najat Messaoudi; Jaafar Khalid Naciri; Bahloul Bensassi

Addresses: Laboratory of Industrial Engineering, Information Processing and Logistics, Faculty of Sciences, University Hassan II of Casablanca, Km 8 Route d'El Jadida, B.P 5366 Maarif Casablanca 20100, Maroc, Morocco ' Laboratory of Mechanics, Faculty of Sciences, University Hassan II of Casablanca, Km 8 Route d'El Jadida, B.P 5366 Maarif Casablanca 20100, Maroc, Morocco ' Laboratory of Industrial Engineering, Information Processing and Logistics, Faculty of Sciences, University Hassan II of Casablanca, Km 8 Route d'El Jadida, B.P 5366 Maarif Casablanca 20100, Maroc, Morocco

Abstract: The present study proposes a first model simulating the effect of variations of a group of parameters on the global performance of an educational system. To achieve the simulation, each training cycle of the educational system is broken down into different levels. The training unit is defined as the lower component of this decomposition. A generic processor is selected for modelling each training unit. A mathematical model enabling simulation of the increase of learner's competence based on a production function is proposed. This function relates the increase of competencies of each learner to a set of parameters such as the time dependency, the class size, the personal capacity of each learner. The obtained curves clearly show the relationship between performance, variation in the number of learners and sensitivity of the pedagogical method. Simulations over the effect of group homogeneity on the performance versus class size curves are presented.

Keywords: educational system; modelling; simulation; performance; assessment; class size; training program; competence; generic processor.

DOI: 10.1504/IJSPM.2018.093092

International Journal of Simulation and Process Modelling, 2018 Vol.13 No.3, pp.189 - 199

Received: 28 Apr 2017
Accepted: 06 Oct 2017

Published online: 09 Jul 2018 *

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