Identificação de estruturas de saber implícitas em materiais didáticos para a delimitação de uma taxonomia de domínio

Abstract

The increased production of instructional materials in digital format sets up the need to provide cataloging systems mechanisms to facilitate search and retrieval of materials generated. In the context of distance education, especially when working with the concept of learning objects, this problem can acquire larger proportions, in the sense that the same material can be decomposed into several parts, each of them should be indexed, and also demonstrate the connections initially determined. Facing this, this paper tries to set up a methodology for identifying a taxonomy that encompasses specific knowledge, able to describe and connect learning objects at different levels of granularity and arising from different approaches. The methodology is based on analyzes of teaching materials, dealing with themes convergent approach from the structures of knowledge. Through conceptual maps are explicit structures of each material, highlighting key words capable of defining a taxonomy in which all the materials can be enlarged and represent a broad structure capable of responding to specific issues of knowledge treated. The results, even partial, delimit a conceptual network that expresses such materials, and their interconnections to facilitate their accessibility on the Internet from the definition of a taxonomy for the domain knowledge of the treaty.