Please use this identifier to cite or link to this item: http://repositorio.grial.eu/handle/grial/2370
Title: A meta-model to develop learning ecosystems with support for knowledge discovery and decisionmaking processes
Authors: Vázquez-Ingelmo, A.
García-Holgado, A.
García-Peñalvo, F. J.
Therón, R.
Keywords: dashboard
software ecosystems
MDA
metamodel
software engineering
learning ecosystem
knowledge management
decision-makers
Issue Date: 24-Jun-2020
Publisher: IEEE
Citation: Vázquez-Ingelmo, A., García-Holgado, A., García-Peñalvo, F. J., & Therón, R. (2020). A meta-model to develop learning ecosystems with support for knowledge discovery and decisionmaking processes. In A. Rocha, B. E. Pérez, F. J. García-Peñalvo, M. M. Miras, & R. Gonçalves (Eds.), Proceedings of the 2020 15th Iberian Conference on Information Systems and Technologies (CISTI) (Seville, Spain, 24-27 June 2020). IEEE. https://doi.org/10.23919/CISTI49556.2020.9140986
Abstract: There are software solutions to solve most of the problems related to information management in any company or institutions, but still, there is a problem for transforming information into knowledge. Technological ecosystems emerge as a solution to combine existing tools and human resources to solve different problems of knowledge management. In particular, when the ecosystem is focused on learning processes associated with knowledge are named learning ecosystems. The learning ecosystem metamodel defined in previous works solves several problems related to the definition and implementation of these solutions. However, there are still challenges associated with improving the analysis and visualization of information as a way to discover knowledge and support decision making processes. On the other hand, there is a metamodel proposal to define customized dashboards for supporting decision-making processes. This proposal aims to integrate both metamodels as a way to improve the definition of learning ecosystems.
URI: http://repositorio.grial.eu/handle/grial/2370
ISBN: 978-989-54659-0-3
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