Recommendation System of Educational Resources for a Student Group

  • Paula RodríguezEmail author
  • Mauricio Giraldo
  • Valentina Tabares
  • Néstor Duque
  • Demetrio Ovalle
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 616)


In a face-class, where the student group is heterogeneous, it is necessary to select the most appropriate educational resources that support learning for all. In this sense, multi-agent system (MAS) can be used to simulate the features of the students in the group, including their learning style, in order to help the professor find the best resources for your class. In this paper, we present MAS to recommendation educational resources for group students, simulating their profiles and selecting resources that best fit. Obtained promising results show that proposed MAS is able to delivered educational resources for a student group.


Educational resources Metadata Multi-agent systems Recommendation systems Student group User profile 



The research presented in this paper was partially funded by the COLCIENCIAS project entitled: “RAIM: Implementación de un framework apoyado en tecnologías móviles y de realidad aumentada para entornos educativos ubicuos, adaptativos, accesibles e interactivos para todos” of the Universidad Nacional de Colombia, with code 1119-569-34172. It was also developed with the support of the grant from “Programa Nacional de Formación de Investigadores– COLCIENCIAS”.


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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Paula Rodríguez
    • 1
    • 2
    Email author
  • Mauricio Giraldo
    • 1
  • Valentina Tabares
    • 2
  • Néstor Duque
    • 2
  • Demetrio Ovalle
    • 1
  1. 1.Universidad Nacional de Colombia Sede MedellínMedellínColombia
  2. 2.Universidad Nacional de Colombia Sede ManizalesManizalesColombia

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