Proposta de um sistema tutor inteligente para internet com adoção dinâmica de estratégias de ensino híbridas usando mbti

Abstract

Intelligent Tutoring Systems (ITS) are aid computation systems that use similar teacher techniques aiming the student's maximum learning. In the most developed ITSs, several critical points in common can be identified, such as the adoption of teaching strategies usually based only on the student's performance in proposed exercises and a small reusability for projects with different domains. This work aims to propose an ITS modeling with dynamic adoption of hybrid teaching strategies based on the student's psychological profile. For that, the Myers-Briggs Type Indicator was used (MBTIâ). When answering an MBTIâ questionnaire (where right or wrong answers don't exist) each student receives its personality identificator according to specific teaching strategies will be applied looking for its best advantage. Besides that, the proposal gives focus on the system's reuse for different domains. In case that the knowledge representation of the ITS' Domain Module is hypertext basically, the proposal can be reused for several domains, facilitating the maintenance.