Dataset of academic performance evolution for engineering students
datacite.rights | http://purl.org/coar/access_right/c_abf2 | spa |
dc.audience | Público general | spa |
dc.contributor.author | De la Hoz Domínguez, Enrique José | |
dc.contributor.other | Zuluaga Ortiz, Rohemi Alfredo | |
dc.contributor.other | Fontalvo Herrera, Tomás José | |
dc.coverage.spatial | Cartagena de Indias | |
dc.date.accessioned | 2020-08-31T20:18:45Z | |
dc.date.available | 2020-08-31T20:18:45Z | |
dc.date.issued | 2020-04-18 | |
dc.date.submitted | 2020-08-31 | |
dc.description.abstract | This data article presents data on the results in national as- sessments for secondary and university education in engineering students. The data contains academic, social, economic information for 12,411 students. The data were obtained by orderly crossing the databases of the Colombian Institute for the Evaluation of Education (ICFES). The structure of the data allows us to observe the influence of social variables and the evolution of students’ learning skills. In addition to serving as input to develop analysis of academic efficiency, student recommendation systems and educational data mining. | eng |
dc.format.extent | 5 páginas | |
dc.format.mimetype | application/pdf | spa |
dc.identifier.doi | 10.1016/j.dib.2020.105537 | |
dc.identifier.instname | Universidad Tecnológica de Bolívar | spa |
dc.identifier.issn | 2352-3409 | |
dc.identifier.reponame | Repositorio UTB | spa |
dc.identifier.uri | https://hdl.handle.net/20.500.12585/9353 | |
dc.identifier.url | https://www.sciencedirect.com/science/article/pii/S2352340920304315 | |
dc.language.iso | eng | spa |
dc.publisher.discipline | Ingeniería Industrial | spa |
dc.publisher.sede | Campus Tecnológico | spa |
dc.rights.accessrights | info:eu-repo/semantics/openAccess | spa |
dc.rights.cc | Atribución-NoComercial 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc/4.0/ | * |
dc.source | Data in Brief; Vol. 30 (2020) | spa |
dc.subject.keywords | Learning analytics | spa |
dc.subject.keywords | Educational data mining | |
dc.subject.keywords | Predictive evaluation | |
dc.subject.keywords | Continuous assessment | |
dc.subject.keywords | Education | |
dc.title | Dataset of academic performance evolution for engineering students | spa |
dc.type.driver | info:eu-repo/semantics/article | spa |
dc.type.hasversion | info:eu-repo/semantics/publishedVersion | spa |
dc.type.spa | Artículo | spa |
dcterms.bibliographicCitation | H. Wickham, L. Henry, tidyr: Easily Tidy Data with «spread( )» and «gather( )» Functions. 2019. | spa |
dcterms.bibliographicCitation | H. Wickham, R. François, L. Henry, y K. Müller, dplyr: A Grammar of Data Manipulation. 2019. | |
dcterms.bibliographicCitation | R.C. Team, «R: A language and environment for statistical computing», 2013. | |
oaire.resourcetype | http://purl.org/coar/resource_type/c_beb9 | spa |
oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 | spa |