Resumen

JUAREZ, Luciano Gastón; FERNANDEZ-REUTER, Beatriz  y  DURAN, Elena. Sistema Multi-Agente para la Recomendación Personalizada de Tutores en U-Learning. Rev. iberoam. tecnol. educ. educ. tecnol. [online]. 2022, n.32, pp.18-27. ISSN 1851-0086.  http://dx.doi.org/https://doi.org/10.24215/18509959.32.e2.

Devices such as mobile phones and tablets are allies of education, since they allow access to educational content and activities from anywhere and at any time. However, student support or assistance is not always available when a student has a learning problem. In this sense, it is convenient to have an automated mechanism that allows detecting these problems in order to offer them help at the right time and in the best way. In this situation, intelligent agent technology can be beneficial, because it is capable of evaluating the actions of each student and detecting problems, providing the corresponding help. In this work, development of a prototype of a tutor recommendation system is presented. This system is based on a multiagent architecture and allows to monitor the interaction of the student with a ubiquitous virtual educational environment at the university level and to detect the learning subject that the student has problems with. The recommendation of tutors is made through a map taking into account their locations, enabling the student to attend to the closest one. The tests carried out show that the proposed system makes it easier for the student to find a suitable tutor who is geographically close and can help him in the issue that he has problems with.

Palabras clave : U-learning; Multi-agents systems; Recommendation systems.