Dashboard for Evaluating the Quality of Open Learning Courses

Please use this identifier to cite or link to this item: http://hdl.handle.net/10045/106784
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dc.contributorGrupo de Investigación en Tecnologías Inteligentes para el Aprendizaje (Smart Learning)es_ES
dc.contributor.authorMejía-Madrid, Gina-
dc.contributor.authorLlorens Largo, Faraón-
dc.contributor.authorMolina-Carmona, Rafael-
dc.contributor.otherUniversidad de Alicante. Departamento de Ciencia de la Computación e Inteligencia Artificiales_ES
dc.date.accessioned2020-05-12T06:05:13Z-
dc.date.available2020-05-12T06:05:13Z-
dc.date.issued2020-05-11-
dc.identifier.citationMejía-Madrid G, Llorens-Largo F, Molina-Carmona R. Dashboard for Evaluating the Quality of Open Learning Courses. Sustainability. 2020; 12(9):3941. doi:10.3390/su12093941es_ES
dc.identifier.issn2071-1050-
dc.identifier.urihttp://hdl.handle.net/10045/106784-
dc.description.abstractUniversities are developing a large number of Open Learning projects that must be subject to quality evaluation. However, these projects have some special characteristics that make the usual quality models not respond to all their requirements. A fundamental part in a quality model is a visual representation of the results (a dashboard) that can facilitate decision making. In this paper, we propose a complete model for evaluating the quality of Open Learning courses and the design of a dashboard to represent its results. The quality model is hierarchical, with four levels of abstraction: components, elements, attributes and indicators. An interesting contribution is the definition of the standards in the form of fulfillment levels, that are easier to interpret and allow using a color code to build a heat map that serves as a dashboard. It is a regular nonagon, divided into sectors and concentric rings, in which each color intensity represents the fulfillment level reached by each abstraction level. The resulting diagram is a compact and visually powerful representation, which allows the identification of the strengths and weaknesses of the Open Learning course. A case study of an Ecuadorian university is also presented to complete the description and draw new conclusions.es_ES
dc.description.sponsorshipThis research was funded by Universidad Central del Ecuador, through the agreement with Universidad de Alicante for the direction of doctoral theses.” “The APC was funded by Cátedra Santander-UA de Transformación Digital and Smart Learning Research Group, Universidad de Alicante”.es_ES
dc.languageenges_ES
dc.publisherMDPIes_ES
dc.rights© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).es_ES
dc.subjectQuality modeles_ES
dc.subjectDashboardes_ES
dc.subjectFulfillment leveles_ES
dc.subjectOpen learninges_ES
dc.subjectE-learninges_ES
dc.subject.otherCiencia de la Computación e Inteligencia Artificiales_ES
dc.titleDashboard for Evaluating the Quality of Open Learning Courseses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.peerreviewedsies_ES
dc.identifier.doi10.3390/su12093941-
dc.relation.publisherversionhttps://doi.org/10.3390/su12093941es_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
Appears in Collections:INV - Smart Learning - Artículos de Revistas

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