Adaptive Hypermedia: From Intelligent Tutoring Systems to Web-Based Education
ITS '00 Proceedings of the 5th International Conference on Intelligent Tutoring Systems
Inference of abduction theories for handling incompleteness in first-order learning
Knowledge and Information Systems - Special Issue on Mining Low-Quality Data
Dynamic knowledge inference and learning under adaptive fuzzy Petrinet framework
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Dynamic learning rate optimization of the backpropagation algorithm
IEEE Transactions on Neural Networks
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The use of pedagogical methods with the technologies of the information and communications produces a new quality that favours the task of generating, transmitting and sharing knowledge. Such is the case of the pedagogical effect that produces the use of the Concept Maps, which constitute a tool for the management of knowledge, an aid to personalize the learning process, to exchange knowledge, and to learn how to learn. In this paper the authors present a new approach to elaborate Intelligent Tutoring Systems, where the techniques of Concept Maps and Artificial Intelligence are combined, using Petri Nets as theoretical frame, for the student model. The pedagogical model that controls the interaction between the apprentice and the generated Intelligent Tutoring Systems is implemented by Petri Nets. The Petri Nets transitions are controlled by conditions that refer to the apprentice model. The firing of these transitions produces actions that update this apprentice model. These conditions are automatically included into the pedagogical model and the teacher has only to specify the contents of the domain model.