Integral Multi-agent Model Recommendation of Learning Objects, for Students and Teachers
Fecha de publicación
Springer Science + Business Media
Advances in Intelligent Systems and Computing Management Intelligent Systems. Advances in Intelligent Systems and Computing. Volumen 220, pp. 127-134.
Currently, there has been progress in building models for search and retrieval of learning objects (LO) stored in heterogeneous repositories. Likewise, research has increased the recycling of educational materials. This paper proposes the integration of two multi-agent models focused on delivering, specific LO adapted to a student’s profile; and delivering LO to teachers in order to assist them in creating courses. The objective is to have an integral multi-agent model that meets the needs of students and teachers, and in this way improve the teaching learning process.
978-3-319-00568-3 (Print) / 978-3-319-00569-0 (Online)
2194-5357 (Print) / 2194-5365 (Online)
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