Educação personalizada mediada por sistema tutor inteligente

Abstract

With the increasing demands for education adjusted to the needs of students and the skills and competencies required in the social relations framework, personalized education emerges. In an attempt to understand it, this study aims to understand the concept of personalized education and its application in Intelligent Tutoring Systems (STI). To achieve this, a bibliographic research was adopted, whose modeling allows to identify and analyze the scope of knowledge that theorizes the concept, having as main databases the portal Periódicos Livres da CAPES, CAPES Thesis and Dissertation Bank, the digital platforms of Google Scholar and the SciELO Scientific Periodicals. The theoretical cut-off is based on the time period from 1970 to 2017, in Portuguese, Spanish and English, prioritizing scientific sources such as theses, dissertations, digital books and periodicals, totaling 34 references. This research also consisted of the pedagogical analysis of the adaptive platform Geekie Games, characterized by the ability to adapt the study plan to the different user profiles, whose categories of analysis were extracted from the theoretical reference of the research. The results of the research allow us to understand personalized education as a conception of education for the integral development of the human being, which seeks to map the student's learning profile to offer him the best course of learning. They present the distinction between the concepts of individualization and differentiation of learning, often confused with the concept of personalized education. About STI, the study emphasizes that personalized education in these computer systems is done through triangulation of information from the specialist module, composed of the STI database; of the student's module, composed of the previous knowledge and the user's learning profile; and the pedagogical module, composed by the selection of the best learning strategies. These are the basic modules capable of modeling STI type software to design efficient learning paths based on the personalization of learning. Finally, the analysis concludes that the Geekie Games platform does not carry out a personalized education process, according to the concepts and categories of analysis of this research, for not being able to offer its users customized study plans.