Alessandro Vivas

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The evolution of distance education was by the popularization of information and communication technologies, the most important aspect in a Adaptive and Intelligent System for Education, is its ability to adapt to the characteristics of each student. This paper presents a proposal for automatic detection and correction of learning styles (EA) using an(More)
The academic performance prediction can be very useful for Educational Institutions in order to help them to take pedagogical decisions that can help students. In this work, we present experiments using Moodle data, Time Series and the Feature Selection Wrapper approach, since, to best of our knowledge, this method to reduce the number of features have not(More)
One of the current challenges is to develop computational technologies that are able to respond properly to the teaching and learning methods. For this to occur, it is essential that virtual environments provide adequate content, and are dynamic and adaptable to the needs and interests of students. This papper proposes a probabilistic approach, combines the(More)
This paper aims to make a comparative study of new approaches to automatic and dynamic modeling of learning styles in adaptive and intelligent educational systems. We proposes modifications to the Student and Pedagogical Models. We achieved on average an improvement 6.1 % in the performance evaluation of the student and an average reduction of 68.3 % in the(More)
This work presents an analysis and a classification of publications in the field of Educational Data Mining published by Brazilian researchers in events and periodicals in Latin America over the past four years. The objective of the present work is to point and present what is being researched in academic performance prediction area. The results of the(More)
1 Résumé—Cet article donne un aperçu des activités menées par les équipes de cinq laboratoires concernant les robots à architecture parallèles. Les apports concernent aussi bien la conception mécanique, la modélisation et l'identification, que la commande. Les travaux comprennent des volets théoriques autant qu'expérimentaux. L'accroissement de la(More)
The effect of the interaction between Pro-Leu-Gly-NH2 (PLG) and catecholamines on the release of MSH by rat pituitaries glands was studied in vitro. The catecholamines dopamine (DA) and norepinephrine (NE) inhibited the release of alpha-MSH from pituitary glands incubated in vitro. The DA effect appeared at low concentrations while NE was effective in(More)
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