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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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