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dc.contributor.authorMaldonado González, Ana Devaki
dc.contributor.authorMorales Giraldo, María Encarnación
dc.date.accessioned2020-01-16T13:01:14Z
dc.date.available2020-01-16T13:01:14Z
dc.date.issued2019-12-20
dc.identifier.issn2227-7390
dc.identifier.urihttp://hdl.handle.net/10835/7441
dc.description.abstractTeaching processes have been changing in the lasts few decades from a traditional lecture-example-homework format to more active strategies to engage the students in the learning process. One of the most popular methodologies is the flipped classroom, where traditional structure of the course is turned over by moving out of the classroom, most basic knowledge acquisition. However, due to the workload involved in this kind of methodology, an objective analysis of the results should be carried out to assess whether the lecturer’s workload is worth the effort or not. In this paper, we compare the results obtained from two different methodologies: traditional lecturing and flipped classroom methodology, in terms of some performance indicators and an attitudinal survey, in an introductory statistics course for engineering students. Finally, we analysed the changes in the relationships among variables of interest when the traditional teaching was moved to a flipped classroom by using Bayesian networks.es_ES
dc.language.isoenes_ES
dc.publisherMDPIes_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectflipped classroomes_ES
dc.subjectBayesian networkses_ES
dc.subjectstatisticses_ES
dc.titleModelling Dependency Structures Produced by the Introduction of a Flipped Classroomes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherversionhttps://www.mdpi.com/2227-7390/8/1/19es_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES


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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internacional