Conceptual Maps and Reasoning Based on Cases: A perspective for the Intelligents Teaching/Learning Systems

The use methods pedagogic with information technologies and communications produces a new quality that the tasks work favors of generating, broadcasting and to share the knowledge. Such is the case of the pedagogical fortress of the employment of the Conceptual Maps, which constitute a tool for the management of the knowledge, for the possibility that these offer of personalizing the learning, sharing knowledge, and to learn to learn. In this work a new approach to elaborate Intelligent Teaching-Learning Systems, where conceptual diagram techniques are combined and Artificial Intelligence, using the Cases Based Reasoning such as a theoretical framework for the modeling of the student. The proposed model has been implemented in the computational system HESEI, which has been applied in the decision making in task works of teaching/learning, for non skilled people in the field computer engineer.