Inteligência artificial na tutoria em EAD: perspectivas na Ciência da Informação

Abstract

The dissertation presents the study of productions that deal with applications, implications and challenges related to the use of artificial intelligence (AI) in tutoring in Distance Education (DE). Its theme is the use and possibilities of AI in distance learning tutoring. The research question was: what are the perspectives, applications and implications of AI in the context of distance learning tutoring, from the perspective of Information Science (IS)? The objective is to identify IS perspectives, applications, implications and challenges inherent to artificial intelligence aimed at the context of distance learning tutoring. To this end, the methodology was a literature review, based on the following databases: GT-8 (Information and Technology) from Enancib, Brapci and Web of Science. The main results indicate that the national bases did not record significant results. In the Web of Science, 32 articles were registered that dialogue with the research question. The retrieved articles were subdivided for analysis into four categories: Artificial Intelligence, Distance Education, Tutoring and Others. Most of them present incipient technological solutions to intelligently support the practice of educational tutoring, focused on the effective use of available or predictive information. As a conclusion, the following consideration was obtained from this study: several uses of intelligent tutoring systems were recorded in the articles, however they demonstrate an incipient application of AI, given the technical possibilities envisioned by other authors, based on the findings of this research, both related to support regarding the replacement of human guardians. The speed of investigation and dissemination of Information Science cannot keep up with the speed of development/advancement of Artificial Intelligence in several areas, including those related to knowledge workers.