| dc.contributor.author | Pinto Santos, Francisco | |
| dc.contributor.author | Sánchez San Blas, Hector | |
| dc.contributor.author | Salgado de la Iglesia, Manuel | |
| dc.contributor.author | Mao, Xuzeng | |
| dc.date.accessioned | 2020-03-10T08:25:39Z | |
| dc.date.available | 2020-03-10T08:25:39Z | |
| dc.date.issued | 2018-12-15 | |
| dc.identifier.citation | ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, 7 (2018) | |
| dc.identifier.issn | 2255-2863 | |
| dc.identifier.uri | http://hdl.handle.net/10366/141443 | |
| dc.description.abstract | 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. | |
| dc.format.mimetype | application/pdf | |
| dc.language.iso | eng | |
| dc.publisher | Ediciones Universidad de Salamanca (España) | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.subject | Computación | |
| dc.subject | Informótica | |
| dc.subject | Computing | |
| dc.subject | Information Technology | |
| dc.title | Improving the adaptability of multi-agent based E-learning systems | |
| dc.type | info:eu-repo/semantics/article | |
| dc.rights.accessRights | info:eu-repo/semantics/openAccess | |