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Análise multivariada de fatores relacionados à aprendizagem móvel no ensino superior na Colômbia;
Análisis multivariado a los factores relacionados con el aprendizaje móvil en la educación superior en Colombia

dc.contributor.authorEstrada Villa, Erika Juliana
dc.contributor.authorBoude Figueredo, Oscar Rafael
dc.date.accessioned5/28/2020 8:23
dc.date.available5/28/2020 8:23
dc.date.issued2018-06-07
dc.identifier.otherhttps://www.revistas.una.ac.cr/index.php/EDUCARE/article/view/8672
dc.identifier.otherhttps://www.revistas.una.ac.cr/index.php/EDUCARE/article/view/8672/13354
dc.identifier.urihttp://hdl.handle.net/10818/41256
dc.description19 páginases_CO
dc.description.abstractThis article shows the elements related to mobile learning in higher education; a multivariate analysis (the main focus of this article) on these elements was performed. For this, mixed research was conducted that took part of the results obtained on a previous research project. In these results, fourteen elements were identified; now, this article reduces them to three through a multifactorial analysis. Besides, to collect the data, a Likert-type instrument was applied to 30 university researchers. To process the data a multivariate analysis was implemented, resulting in the following elements: the training element and the student’s characteristics; the lack of management that correlates with the lack of m-learning guidelines and lack of infrastructure. In conclusion, the elements extracted should be taken into account when drawing guidelines to include mobile learning in higher education, as well as teacher training plans, in response to what students require.en
dc.description.abstractEste artículo muestra los elementos relacionados con el aprendizaje móvil en la educación superior; Se realizó un análisis multivariado (el enfoque principal de este artículo) sobre estos elementos. Para esto, se realizó una investigación mixta que tomó parte de los resultados obtenidos en un proyecto de investigación anterior. En estos resultados, se identificaron catorce elementos; ahora, este artículo los reduce a tres mediante un análisis multifactorial. Además, para recopilar los datos, se aplicó un instrumento tipo Likert a 30 investigadores universitarios. Para procesar los datos se implementó un análisis multivariado, que resultó en los siguientes elementos: el elemento de capacitación y las características del estudiante; la falta de gestión que se correlaciona con la falta de pautas de m-learning y la falta de infraestructura.es_CO
dc.formatapplication/pdfes_CO
dc.language.isospaes_CO
dc.publisherRevista Electrónica Educarees_CO
dc.relation.ispartofseriesRevista Electrónica Educare , 22 (3), 1-19. 2018
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subject.otherAprendizaje móviles_CO
dc.subject.otherEnseñanzaes_CO
dc.subject.otherAprendizajees_CO
dc.subject.otherEducación superiores_CO
dc.subject.otherTICes_CO
dc.titleMultivariate Analysis of Elements Related to Mobile Learning in Higher Education in Colombiaen
dc.titleAnálise multivariada de fatores relacionados à aprendizagem móvel no ensino superior na Colômbiaen
dc.titleAnálisis multivariado a los factores relacionados con el aprendizaje móvil en la educación superior en Colombiaes_CO
dc.typejournal articlees_CO
dc.type.hasVersionpublishedVersiones_CO
dc.rights.accessRightsopenAccesses_CO
dc.identifier.doi110.15359/ree.22-3.6


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