Article ID Journal Published Year Pages File Type
6835204 Computers & Education 2014 13 Pages PDF
Abstract
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).
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Social Sciences and Humanities Social Sciences Education
Preview
Student academic performance stochastic simulator based on the Monte Carlo method
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