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oai:gredos.usal.es:10366/1414432025-06-05T12:36:20Zcom_10366_138329com_10366_122682com_10366_4666com_10366_3823col_10366_141320

Improving the adaptability of multi-agent based E-learning systems Pinto Santos, Francisco Sánchez San Blas, Hector Salgado de la Iglesia, Manuel Mao, Xuzeng Computación Informótica Computing Information Technology 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. 2020-03-10T08:25:39Z 2020-03-10T08:25:39Z 2018-12-15 info:eu-repo/semantics/article ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, 7 (2018) 2255-2863 http://hdl.handle.net/10366/141443 eng info:eu-repo/semantics/openAccess info:eu-repo/semantics/openAccess application/pdf Ediciones Universidad de Salamanca (España) https://gredos.usal.es/bitstream/10366/141443/6/Improving_the_adaptability_of_multi-agen.pdf.jpg Hispana TEXT http://rightsstatements.org/vocab/CNE/1.0/ Gredos. Repositorio Documental de la Universidad de Salamanca http://hdl.handle.net/10366/141443