Educational Resources Recommendation System for a heterogeneous Student Group

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...

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Bibliographic Details
Published inAdvances in distributed computing and artificial intelligence journal Vol. 5; no. 3; pp. 21 - 30
Main Authors Rodríguez Marín, Paula Andrea, Giraldo, Mauricio, Tabares, Valentina, Duque, Néstor, Ovalle, Demetrio
Format Journal Article
LanguageEnglish
Published Salamanca Ediciones Universidad de Salamanca 01.12.2016
Subjects
Education
educational resources
Learning
metadata, multi-agent systems
Multiagent systems
recommendation systems, student group, user profile
Recommender systems
Student organizations
Students
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Summary: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.
ISSN:2255-2863
2255-2863
DOI:10.14201/ADCAIJ2016532130