Protótipo de sistema de recomendação para auxiliar na escolha de disciplinas optativas do curso de Sistemas de Informação da Universidade Federal do Ceará — Campus Quixadá

Abstract

The Information and Communication Technology (ICT) field offers various possibilities for professional training courses. Choosing a career is closely tied to significance, as the decision an individual makes can determine their lifelong path or a significant part of it. After selecting a course, during the formative process, the student can start envisioning and selecting, among the various areas within their field, the one that best aligns with their interests and abilities, as well as the remuneration offered by the job market.The request for enrollment in Elective Courses is related to this decision-making process, as it allows the student to engage with a more specific area to enhance their education. However, there might be situations where students struggle to make appropriate choices because they do not understand the syllabus of the Elective Courses or the subject matter it describes, which they may not be familiar with yet. This work aims to construct a prototype of an expert recommendation system that classifies Elective Courses based on the student's alignment with alumni profiles, in addition to the course description. Therefore, it aims to assist students and coordinators in choosing Elective Courses for the Information Systems program at the Federal University of Ceará - Quixadá Campus. Various steps were taken to classify data obtained from the curriculum of the Information Systems program to identify the relationship between each Alumni Profile and the Elective Courses, in order to build the inference engine necessary for making recommendations. The proposed prototype of the educational recommendation system provides personalized recommendations based on each user's preferences. It represents a tool that can significantly streamline the process of choosing Elective Courses.