Fabiano Azevedo Dorça

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This paper describes a multiagent architecture for webbased distance education systems that presents characteristics of intelligence and adaptability. This architecture is based on techniques of Distributed Artificial Intelligence, Planning and Intelligent Tutoring Systems. As a result, the system allows adaptation of a given course to different types of(More)
Considering learning and how to improve students’ performances, adaptive educational systems must know the way in which an individual student learns best. In this context, this work presents a comparison between two innovative approaches to automatically detect and precisely adjust students’ learning styles during an adaptive course. These approaches take(More)
Learning objects authoring is still a complex and time-consuming task for instructors, which requires attention to technical and pedagogical aspects. However, one can take advantage of the Ubiquitous Learning Environments characteristics to make it a mild process by means of automatic or semi-automatic processes. In this way, this paper presents an approach(More)
In this paper, a multiagent system i.e. named ABDITS (Agent Based Distributed Intelligent Tutoring System) is presented, which is customizable, dynamic, intelligent and adaptive with Pedagogy view for learners in intelligent schools. This system is an integration of adaptive web-based learning with expert systems as well. A crucial feature of the ABDITS(More)
Dynamic adaptation of educational content has been an important research topic. Therefore, in order for it to run effectively, student models that properly describe and monitor the cognitive state of students are needed. In this sense, this paper presents a hybrid student model approach that combines ontologies and Bayesian Networks to identify the(More)