Resumen

GONZALEZ HERRERA, Carlos Yordan  y  ARAGON BARREDA, Yaniel Lázaro. Guided learning on virtual education: the automatic recommendation of exercises. Conrado [online]. 2022, vol.18, n.88, pp. 93-105.  Epub 30-Oct-2022. ISSN 1990-8644.

The Learning and Knowledge Technologies have led to the advancement of education towards virtuality. The University of Computer Science's premise is the linking of this technologies in the educational teaching process. In its study plan, there is the subject Database Systems I, where the RDB-Learning tool is used as a virtual platform to support the teaching-learning process. The developed tool facilitates exercise outside the classroom, however, when students are prepared to perform exercises self-taught, they do not have a guide or orientation that allows them to select the ones that best suit their needs according to the skills achieved in the subject. This research presents a system for the automatic recommendation of exercises in the RDB-Learning platform, which suggests to students which exercise to carry out, based on prior knowledge of what skills the student has been able to develop in the subject given by their systematic evaluations. For this, the development environment of the system is described and an analysis of the main existing recommendation algorithms is carried out. In addition, an evaluation is made of how the tool contributes to the guided learning of the students.

Palabras clave : Algorithm; Exercise; Guided learning; Recommendation; Skills.

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