Using planning techniques in intelligent tutoring systems
International Journal of Man-Machine Studies
Applications of AI in education
Crossroads - Special issue on artificial intelligence
E-Learning: Strategies for Delivering Knowledge in the Digital Age
E-Learning: Strategies for Delivering Knowledge in the Digital Age
A Framework for Intelligent Knowledge Sequencing and Task Sequencing
ITS '92 Proceedings of the Second International Conference on Intelligent Tutoring Systems
An Actor Based Architecture for Intelligent Tutoring Systems
ITS '96 Proceedings of the Third International Conference on Intelligent Tutoring Systems
Probabilistic Graphical Models: Principles and Techniques - Adaptive Computation and Machine Learning
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This paper shows the creation of the adaptive SCORM sequencing models, taking advantage of the latest developments offered by the artificial intelligence field, to provide the best choice to the student, based in learning objects, using a tutor model in self learning. The Tutor uses decision networks also called influence diagrams, to improve the development of resources and learning materials in a learning content management system, to offer students the best pedagogical decision according to their performance. The intelligent learning system is validated in an online environment. The results of the evaluation process in undergraduate engineering courses are encouraging because they show improvements in student's learning who used this approach, compared to those who did not use it. The paper also shows the potential application of this learning approach for power system's operators.