Learning services-based technological ecosystems
Francisco J. García-Peñalvo, Ángel Hernández-García, Miguel Á. Conde, Ángel Fidalgo-Blanco, María L. Sein- Echaluce, Marc Alier, Faraón Llorens-Largo, Santiago Iglesias-Pradas
Third International Conference on Technological Ecosystems for Enhancing Multiculturality (TEEM’15)
Porto (Portugal), October 7th-9th, 2015
The gap between technology and learning methods has two important implications: on the one hand, we should not expect the integration of technological advances into teaching to be an easy task; and there is a danger that mature educational technologies and methods might not give an adequate answer to the demands and needs of society, underusing their transforming potential to improve learning processes. This study discusses the need for a new technological environment supporting learning services, and proposes the concept of the technological learning ecosystem as a solution to both problems. Educational ecosystems should be able to break the technological constraints of existing learning platforms and achieve an effective improvement in learning processes. Our proposed educational ecosystems pivot around five specific lines of action: 1) a framework architecture that supports learning service- based ecosystems; 2) learning analytics for educational decision making; 3) adaptive knowledge systems; 4) gamification of learning processes; 5) semantic portfolios to collect evidence of learning.
A Multi-Agent Strategic Planning System based on Blackboard
Juan Luis Dalmau-Espert, Faraón Llorens-Largo and Rafael Molina-Carmona
Departamento de Ciencia de la Computación e Inteligencia Artificial
Universidad de Alicante
In the last years, the organizations have faced deep changes in their envi- ronments that have led them to a new complex and uncertain world. More participatory, flexible and distributed structures are needed to address and reduce this uncertainty and complexity. This new form of governance in- volves changes in the Strategic Planning process to meet the new situation. A new agile, collaborative, integrated, and automated architecture of a Multi-Agent Strategic Planning System is presented. It is based on a black- board and an ontology, and it lets the participating experts (human or not) cooperate and interact to ensure better decisions.