RED + iC: Creating a Knowledge Model to support subject learning Structured Data Types

This paper describes the use of Knowledge Engineering techniques (KE) for modeling concepts related to the topic "Structured Data Types" (SDT). The main motivation is to help in the process of recognition of these structures, a non-trivial process, which depends on attributes listed in the statement of the problem or exercise for a wide variety of static and dynamic SDT. CommonKADS methodology was used to develop the phases of Review of sources and previous experiences, Modeling Context, and Knowledge Modeling to create a Knowledge Base (KB). As representation mechanisms used a semantic network and specification in CML. The main results of the work are are reflected in the model of knowledge gained and its integration into an educational tool call RED +iC, which was used by several groups of students who reported benefits in the process of recognition of Structured Data Types.