6533b82cfe1ef96bd12901f6
RESEARCH PRODUCT
Non-parametric probabilistic forecasting of academic performance in Spanish high school using an epidemiological modelling approach
Rafael J. VillanuevaJuan Carlos CortésA. Sánchez-sánchezFrancisco-josé Santonjasubject
EstimationComputer scienceBootstrappingApplied MathematicsNonparametric statisticsUncertaintyModel parametersConfidence intervalModellingComputational MathematicsTransmission dynamicsOrder (exchange)EconometricsBootstrappingProbabilistic forecastingAcademic underachievementPredictionMATEMATICA APLICADAdescription
Academic underachievement is a concern of paramount importance in Europe, and particularly in Spain, where around of 30% of the students in the last two courses in high school do not achieve the minimum knowledge academic requirement. In order to analyse this problem, we propose a mathematical model via a system of ordinary differential equations to study the dynamics of the academic performance in Spain. Our approach is based on the idea that both, good and bad study habits, are a mixture of personal decisions and influence of classmates. Moreover, in order to consider the uncertainty in the estimation of model parameters, a bootstrapping approach is employed. This technique permits to forecast model trends in the next few years using confidence intervals. Unfortunately, the obtained results do not suggest improvement in academic performance for the coming years.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2013-09-01 |