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dc.date.accessioned 2019-03-07T14:22:12Z
dc.date.available 2019-03-07T14:22:12Z
dc.identifier.uri http://digital.cic.gba.gob.ar/handle/11746/8925
dc.title Data Mining to increase teaching performance in Engineering Education en
dc.type Artículo es
dcterms.abstract From a global perspective, engineers are the strategic human capital for the development of countries. That is because the industrial sector is increasingly competitive. The contribution of engineers is essential for the strengthening of value chains and innovation, especially in developing countries. In particular, in Argentina, over the last decade, the government has invested heavily in many programs to contribute to the increase in the enrolment rate of engineers careers. However, this was not enough to visualise significant increases. The primary objective of this work is to present the results of the application of data mining techniques directed at measuring the teaching performance in Engineering Education.The unit of study will be by three set of knowledge: Basic Sciences, Basic Technologies and Applied Technologies of the Engineering Careers. The indicators are metrics around student performance and behaviour. We apply principal component analysis (PCA) to find key factors that describe the set of knowledge defined. Finally, we establish five criteria to explain each one. These criteria are vertical articulation, retention strategies, teaching methodologies, evaluation methodologies and learning methods and techniques. en
dcterms.extent 4 p. es
dcterms.issued 2019-03-04
dcterms.language Inglés es
dcterms.license Attribution-NonCommercial-NoDerivatives 4.0 International (BY-NC-ND 4.0) es
dcterms.subject Ingeniería es
dcterms.subject Higher Education en
dcterms.subject Science and Technology en
dcterms.subject Minería de Datos es
dcterms.subject PCA en
cic.version info:eu-repo/semantics/submittedVersion es
dcterms.creator.author Pascal, Guadalupe es
dcterms.creator.author Tornillo, Julián es
dcterms.creator.author Minnaard, Claudia Lidia es
dcterms.creator.author Comoglio, Marta es
cic.lugarDesarrollo Instituto de Investigaciones de Tecnología y Educación es
dcterms.subject.materia Ingenierías y Tecnologías es
dcterms.isPartOf.issue VIII International Conference on Educational and Information Technology (ICEIT, 2019) es
dcterms.isPartOf.series International Conference Proceedings Series (ACM) es
cic.isPeerReviewed true es
cic.isFulltext true es
cic.institucionOrigen Instituto de Investigaciones de Tecnología y Educación es


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