An IoT dynamic and adaptive study management system for collective knowledge that uses the ENADE’s questions

Abstract

This article presents an application based on a computational model for IoT, which dynamically manages and adapts the study of ENADE’s questions accordingly to the answered questionnaire. Any content that is available on the Internet can be from an IoT element, either physical or virtual. Therefore, it was created a system that provides pre-selected ENADE questions, in a synchronized way, for a group of students and, whenever they reached an average lower than the national one, other similar questions were provided with the explanation of the answer, allowing the student to achieve more familiarity with the ENADE’s questions.