Dashboard for Evaluating the Quality of Open Learning Courses

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Title: Dashboard for Evaluating the Quality of Open Learning Courses
Authors: Mejía-Madrid, Gina | Llorens Largo, Faraón | Molina-Carmona, Rafael
Research Group/s: Grupo de Investigación en Tecnologías Inteligentes para el Aprendizaje (Smart Learning)
Center, Department or Service: Universidad de Alicante. Departamento de Ciencia de la Computación e Inteligencia Artificial
Keywords: Quality model | Dashboard | Fulfillment level | Open learning | E-learning
Knowledge Area: Ciencia de la Computación e Inteligencia Artificial
Issue Date: 11-May-2020
Publisher: MDPI
Citation: Mejía-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/su12093941
Abstract: Universities 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.
Sponsor: This 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”.
URI: http://hdl.handle.net/10045/106784
ISSN: 2071-1050
DOI: 10.3390/su12093941
Language: eng
Type: info:eu-repo/semantics/article
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/).
Peer Review: si
Publisher version: https://doi.org/10.3390/su12093941
Appears in Collections:INV - Smart Learning - Artículos de Revistas

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