Fabiano Azevedo Dorça

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This paper describes a multiagent architecture for web-based 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)
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)
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)
Studies attest that learning is facilitated if teaching strategies are in accordance with students learning styles, making learning process more effective and considerably improving students performances. In this context, one major research point – and a challenge – is to efficiently discover students’ learning styles. But, the test and validation of new(More)
One of the most important features of adaptative e-learning systems is the personalisation according to specific requirements of each individual student. In considering learning and how to improve student learning, these systems must know the way in which an individual learns. In this context, we introduce a new approach for consistent evolution of student(More)