Improving the adaptability of multi-agent based E-learning systems

Francisco PINTO-SANTOS, Hector SÁNCHEZ SAN BLAS, Manuel SALGADO DE LA IGLESIA, Xuzeng MAO

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.


Keywords


multi-agent systems; e-learning; clustering;

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DOI: http://dx.doi.org/10.14201/ADCAIJ20187516





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