Association rules with SIA in B-Learning Courses: A mapping review

dc.contributor.authorPazmiño-Maji, R. A,
dc.contributor.authorGarcía-Peñalvo, F. J.
dc.contributor.authorConde-González, M. Á.
dc.date.accessioned2019-11-09T11:40:04Z
dc.date.available2019-11-09T11:40:04Z
dc.date.issued2017-04-20
dc.description.abstractAccording to scopus between the years 2012 and 2016 there are 3556 scientific documents about Blended Learning, these have been and are still an emerging learning methodology. With this document, we determine the association rules with statistical implicative analysis (SIA) in B-Learning courses in Science Faculty at the ESPOCH University. To this end, we use mapping review in the blended learning courses used in the last 5 years (2012 to 2016) in Institutional platform, milaulas.com, and google. We started with 3350 B-Learning courses and finally 13 had all quality criteria. This document also describe a Institutional experience about Association rules with SIA in B-Learning Courses in the last five years.en
dc.identifier.citationPazmiño-Maji, R., García-Peñalvo, F. J., & Conde-González, M. Á. (2017). Association rules with SIA in B-Learning Courses: A mapping review Memorias del Séptimo Congreso Virtual Iberoamericanoo de Calidad en Educación Virtual y a Distancia – EduQ@2017 (20-30 de abril de 2017) (Vol. 3, pp. 716-724). Mendoza, Argentina: Editorial Virtual Argentina.en
dc.identifier.isbn978-987-1792-17-7
dc.identifier.urihttp://repositorio.grial.eu/handle/grial/1780
dc.language.isoenen
dc.publisherEditorial Virtual Argentinaen
dc.subjectstatistical implicative analysisen
dc.subjectsystematic reviewen
dc.subjectuniversityen
dc.subjectblended learningen
dc.subjectextracting knowledge in statisticsen
dc.titleAssociation rules with SIA in B-Learning Courses: A mapping reviewen
dc.typeArticleen

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