UMA PROPOSTA DE OBJETO DE APRENDIZAGEM ADAPTATIVO NO ENSINO DA LOGICA BOOLEANA

Abstract

The aim of this paper is to present the results of the application of an Adaptive Learning Object based on production rules, in a course of Boolean Logic. Human knowledge can be represented by a knowledge base, also called inference rules that are part of the inference engine of the knowledge base. These rules are chaining ideas, resulting in a condition-action, if-then. Each rule is a piece of knowledge, and it can generate a forward or backward reasoning. In the context of this paper, adaptability is obtained by inferring student’s learning achievements, categorizing them in three profiles, according to their prior knowledge.

Index Terms - Adaptive systems, Artificial Intelligence, Boolean logic, Learning Objects.