Design of a recommender system for intelligent classrooms based on multiagent systems

Dulce Rivero-Albarrán, Francklin Rivas-Echeverria, Laura Guerra, Brian Arellano, Stalin Arciniegas

Producción científica: Capítulo del libro/informe/acta de congresoContribución de conferenciarevisión exhaustiva

2 Citas (Scopus)

Resumen

In this work it’s presented the description of a Recommender Systems to be used in a learning environment. For this, it’s defined the diverse recommendation methods that can be used: Content-based Recommendations, Collaboration recommendations and Hybrid Systems. It is proposed a Teaching agent design for obtaining the most appropriate learning objects based on Multiagent Systems framework composed of a Planning Agent, a Recommendation System and a Learning Object Management System; all of them collaborating on an intelligent platform. This design can be used in intelligent classrooms because it can adapt the environment and the teaching contents according to the needs of each student.

Idioma originalInglés
Título de la publicación alojadaProceedings of the International Conference on Information Technology and Systems, ICITS 2018
EditoresAlvaro Rocha, Teresa Guarda
EditorialSpringer Verlag
Páginas973-982
Número de páginas10
ISBN (versión impresa)9783319734491
DOI
EstadoPublicada - 2018
EventoInternational Conference on Information Technology and Systems, ICITS18 - Libertad city, Ecuador
Duración: 11 ene. 201713 ene. 2017

Serie de la publicación

NombreAdvances in Intelligent Systems and Computing
Volumen721
ISSN (versión impresa)2194-5357

Conferencia

ConferenciaInternational Conference on Information Technology and Systems, ICITS18
País/TerritorioEcuador
CiudadLibertad city
Período11/01/1713/01/17

Nota bibliográfica

Publisher Copyright:
© Springer International Publishing AG 2018.

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