Educational resources recommendation system for a heterogeneous student group

• RODRÍGUEZ MARÍN, Paula Andrea ^[1] ; GIRALDO, Mauricio ^[1] ; TABARES, Valentina ^[1] ; DUQUE, Néstor ^[1] ; OVALLE, Demetrio ^[1]
  1. [1] Universidad Nacional de Colombia

     Universidad Nacional de Colombia

     Colombia

     
• Localización: ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, ISSN-e 2255-2863, Vol. 5, Nº. 3, 2016, págs. 21-30
• Idioma: inglés
• DOI: 10.14201/ADCAIJ2016532130
• Enlaces
  • Texto completo
• Resumen

  • 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 educational resources recommendation 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.

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