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. [1] Universidad de Salamanca

     Universidad de Salamanca

     Salamanca, España

     
• Localización: ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, ISSN-e 2255-2863, Vol. 7, Nº. 4, 2018, págs. 5-16
• Idioma: inglés
• DOI: 10.14201/ADCAIJ20187516
• Enlaces
  • Texto completo
• Resumen

  • 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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