Autonomous recommender system architecture for virtual learning environments

Julián Monsalve-Pulido, Jose Aguilar, Edwin Montoya, Camilo Salazar
2020 Applied Computing and Informatics  
This article proposes an architecture of an intelligent and autonomous recommendation system to be applied to any virtual learning environment, with the objective of efficiently recommending digital resources. The paper presents the architectural details of the intelligent and autonomous dimensions of the recommendation system. The paper describes a hybrid recommendation model that orchestrates and manages the available information and the specific recommendation needs, in order to determine
more » ... recommendation algorithms to be used. The hybrid model allows the integration of the approaches based on collaborative filter, content or knowledge. In the architecture, information is extracted from four sources: the context, the students, the course and the digital resources, identifying variables, such as individual learning styles, socioeconomic information, connection characteristics, location, etc. Tests were carried out for the creation of an academic course, in order to analyse the intelligent and autonomous capabilities of the architecture.
doi:10.1016/j.aci.2020.03.001 fatcat:xh47a5m6gjfepkzqqgiga6thau