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Modelling the dynamics of the students academic performance in the German region of North Rhine- Westphalia: an epidemiological approach with uncertainty

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Modelling the dynamics of the students academic performance in the German region of North Rhine- Westphalia: an epidemiological approach with uncertainty

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dc.contributor.author Cortés, J.-C. es_ES
dc.contributor.author Ehrhardt, Matthias es_ES
dc.contributor.author Sánchez Sánchez, A. es_ES
dc.contributor.author Santonja, F. es_ES
dc.contributor.author Villanueva Micó, Rafael Jacinto es_ES
dc.date.accessioned 2016-01-26T15:24:38Z
dc.date.available 2016-01-26T15:24:38Z
dc.date.issued 2014
dc.identifier.issn 0020-7160
dc.identifier.uri http://hdl.handle.net/10251/60193
dc.description This is an author's accepted manuscript of an article published in "International Journal of Computer Mathematics"; Volume 91, Issue 2, 2014; copyright Taylor & Francis; available online at: http://dx.doi.org/10.1080/00207160.2013.813937 es_ES
dc.description.abstract Student academic underachievement is a concern of paramount importance in Europe, where around 15% of the students in the last high school courses do not achieve the minimum knowledge academic requirement. In this paper, we propose a model based on a system of differential equations to study the dynamics of the students academic performance in the German region of North Rhine-Westphalia. This approach is supported by the idea that both, good and bad study habits, are a mixture of personal decisions and influence of classmates. This model allows us to forecast the student academic performance by means of confidence intervals over the next few years. es_ES
dc.description.sponsorship This work has been partially supported by the Spanish Ministry of Economy and Competitiveness grant MTM2009-08587 and Universitat Politecnica de Valencia grant PAID06-11-2070. en_EN
dc.language Inglés es_ES
dc.publisher Taylor & Francis: STM, Behavioural Science and Public Health Titles es_ES
dc.relation.ispartof International Journal of Computer Mathematics es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Student Academic Performance es_ES
dc.subject Modelling es_ES
dc.subject Non-linear System of Differential Equations es_ES
dc.subject Forecasting in Social Sciences es_ES
dc.subject Bootstrap Confidence Intervals. es_ES
dc.subject.classification MATEMATICA APLICADA es_ES
dc.title Modelling the dynamics of the students academic performance in the German region of North Rhine- Westphalia: an epidemiological approach with uncertainty es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1080/00207160.2013.813937
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//MTM2009-08587/ES/Ecuaciones Diferenciales Aleatorias Y Aplicaciones/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/UPV//PAID-06-11-2070/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada es_ES
dc.description.bibliographicCitation Cortés, J.; Ehrhardt, M.; Sánchez Sánchez, A.; Santonja, F.; Villanueva Micó, RJ. (2014). Modelling the dynamics of the students academic performance in the German region of North Rhine- Westphalia: an epidemiological approach with uncertainty. International Journal of Computer Mathematics. 91(2):241-251. https://doi.org/10.1080/00207160.2013.813937 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.1080/00207160.2013.813937 es_ES
dc.description.upvformatpinicio 241 es_ES
dc.description.upvformatpfin 251 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 91 es_ES
dc.description.issue 2 es_ES
dc.relation.senia 251636 es_ES
dc.identifier.eissn 1029-0265
dc.contributor.funder Ministerio de Ciencia e Innovación es_ES
dc.contributor.funder Universitat Politècnica de València es_ES
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