Preliminary validation of the metamodel for developing learning ecosystems

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Date

2017-10-18

Authors

García-Holgado, Alicia
García-Peñalvo, Francisco J.

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Publisher

ACM

Abstract

Learning ecosystems are positioned as a technological solution able to provide learning environments that evolve over time to cover the changing needs of users or include new tools for knowledge management. The definition, development and deployment of this type of software solutions is complex and involves several problems identified and analyzed in previous works. In order to solve these problems, an architectural pattern based on Buschmann's Layers pattern has been defined. The accumulated experience developing learning ecosystems along with the problems analysis using Business Process Model and Notation and the architectural pattern, have provided a knowledge base to define an ecosystems metamodel. The proposed metamodel provides a framework for Model-Driven Development of learning ecosystems. The main objective of the present work is to validate the ecosystems metamodel from modeling a learning ecosystem.

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Keywords

Technological ecosystems, Software ecosystems, MDA, Modeling, Software engineering, Knowledge management, Open Source, Gestión del conocimiento

Citation

García-Holgado, A., & García-Peñalvo, F. J. (2017). Preliminary validation of the metamodel for developing learning ecosystems. In J. M. Dodero, M. S. Ibarra Sáiz, & I. Ruiz Rube (Eds.), Fifth International Conference on Technological Ecosystems for Enhancing Multiculturality (TEEM’17) (Cádiz, Spain, October 18-20, 2017) (Article 91). New York, NY, USA: ACM. doi:10.1145/3144826.3145439

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