Abstract:

A constant concern of the Brazilian Ministry of Health is to encourage students and health professionals to improve their skills. To deal with these challenges, in 2010, the UNA-SUS (Open University of SUS) was created. UNA-SUS is composed by 35 universities, which work in a collaborative way producing and offering free courses on web-based distance learning. In this context, we propose and develop an approach to determine the recommendation rank of health courses for students and professional from UNA-SUS, promoting their continuous education. The recommendations are based on learners course registration history, exploring similarities among users preferences and courses. With this project we intend to provide easier access to educational resources from UNA-SUS that brazilian health care personnel need to be their best. In our experiments, we observed that it is possible to use the cosine similarity technique to observe semantic distances between courses, where we can recommend courses with an accuracy above 51%.

Keywords:

Recommender System, distance learning, UNA-SUS Amazônia, Educational Courses in Health.