Abstract
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.
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Acknowledgments
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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Rodríguez, P., Giraldo, M., Tabares, V., Duque, N., Ovalle, D. (2016). Recommendation System of Educational Resources for a Student Group. In: Bajo, J., et al. Highlights of Practical Applications of Scalable Multi-Agent Systems. The PAAMS Collection. PAAMS 2016. Communications in Computer and Information Science, vol 616. Springer, Cham. https://doi.org/10.1007/978-3-319-39387-2_35
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DOI: https://doi.org/10.1007/978-3-319-39387-2_35
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