Merge maps : um mecanismo computacional para mesclagem de mapas conceituais

Abstract

Concept maps are graphical representations of knowledge about a given domain often used in pedagogical approaches with the purpose of promoting meaningful learning and to represent and organize a set of meanings in a propositional framework. In this learning process, concept maps can be considered as a means to identify concepts and their meanings, giving rise to knowledge explicitly. However, monitoring of this learning is performed slowly and individually, in which a collective context, one cannot measure knowledge of a class in a given knowledge. This dissertation proposes a focus on the importance of the fusion of concept maps and their implications in monitoring and evaluating the performance of groups in general contexts approach. A computational solution is designed to automatically perform the merger in order to promote a better collective assessment by teachers.