Um modelo de sistema tutor inteligente para o ensino no domínio de lógica de programação

Abstract

Teach introductory programming is a challenge to educators for decades. The methods suggested to improve the teaching process, individual tutoring has proven more effective, even with a lot of features that order, its amplitude, with a large number of students who want to learn programming. A viable alternative is the use of Intelligent Tutoring Systems (ITS) for this purpose. Although some STI's have solid built to teach programming, none have been developed to address the programming logic theme making use of a visual language that is becoming increasingly popular for teaching beginners the first steps in programming domain area. This dissertation deals with the construction of a Model System Intelligent Tutor through the design and construction of a prototype of an Intelligent Tutor System to fill the gap in teaching programming logic. It aims to present a computational model of An Intelligent Tutor System (ITS) to support teaching and learning in the programming logic domain using as Artificial Intelligence technique - IA, the Case Based Reasoning (Case-based Reasoning - CBR) and making use of a domain model of the knowledge base. Addressing the design, modeling and prototyping of an Intelligent Tutor System to teach programming logic from the use of a visual language. The investigation of the hypothesis that the prototype completed can prove that the concept of STI BLOP, once developed, will provide an interactive and rich learning environment for students in their learning process.