The Java Language Specification
The Java Language Specification
What Are Ontologies, and Why Do We Need Them?
IEEE Intelligent Systems
Modelling the MCOE Tutor Using a Computaional Model
SBIA '98 Proceedings of the 14th Brazilian Symposium on Artificial Intelligence: Advances in Artificial Intelligence
ELM-ART: An Intelligent Tutoring System on World Wide Web
ITS '96 Proceedings of the Third International Conference on Intelligent Tutoring Systems
Working on Student Models (Really) Based on Mental States
ICCIMA '01 Proceedings of the Fourth International Conference on Computational Intelligence and Multimedia Applications
KnowledgeTree: a distributed architecture for adaptive e-learning
Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters
Using semantics in INES, an intelligent educational system
FIE'09 Proceedings of the 39th IEEE international conference on Frontiers in education conference
Case-Based student modeling in multi-agent learning environment
CEEMAS'05 Proceedings of the 4th international Central and Eastern European conference on Multi-Agent Systems and Applications
AutoTutor: an intelligent tutoring system with mixed-initiative dialogue
IEEE Transactions on Education
Blended e-assessment: Migrating classical exams to the digital world
Computers & Education
(OBIFS) isotropic image analysis for improving a predicting agent based systems
Expert Systems with Applications: An International Journal
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INES (INtelligent Educational System) is an operative prototype of an e-learning platform. This platform includes several tools and technologies, such as: (i) semantic management of users and contents; (ii) conversational agents to communicate with students in natural language; (iii) BDI-based (Believes, Desires, Intentions) agents, which shape the tutoring module of the system; (iv) an inference engine; and (v) ontologies, to semantically model the users, their activities, and the learning contents. The main contribution of this paper is the intelligent tutoring module of the system. Briefly, the tasks of this module are to recognize each student (checking his/her system credentials) and to obtain information about his/her learning progress. So, it can be able to suggest to each student specific tasks to achieve his/her particular learning objectives, based on several parameters related to the existing learning paths and the student's profile.