Improving the adaptability of multi-agent based E-learning systems
- PINTO-SANTOS, Francisco 1
- SÁNCHEZ SAN BLAS, Hector 1
- SALGADO DE LA IGLESIA, Manuel 1
- MAO, Xuzeng 1
-
1
Universidad de Salamanca
info
ISSN: 2255-2863
Ano de publicación: 2018
Volume: 7
Número: 4
Páxinas: 5-16
Tipo: Artigo
Outras publicacións en: ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal
Resumo
E-Learning is a new learning approach that involves the use of electronic technologies to access education outside of a conventional classroom (Alonso Rincon,). The objective of E-Learning systems is to increase the students’ learning skills by providing a customized experience to each system user (Rodrigues, 2013). However, to accomplish this, it is necessary to monitor the continuous changes in the environment, mainly the students’ knowledge and skill acquisition. A multi-agent system architecture and a clustering algorithm are proposed for this purpose (as presented in (Rodrigues, 2014) This paper is an extension to the work of (Al-Tarabily, 2018) because it not only monitors changes in the student environment but also in the project environment, increasing the system’s adaptability and accuracy.
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