Adaptabilidade temática em sistemas tutores inteligentes híbridos
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Data
2008-02-23
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Universidade Federal de Goiás
Resumo
In the context of efficient information transmission among people and,
particularly in the helping of learning and training processes, this investigation
presents results on the use of the technology of Hybrid Intelligent Tutoring
Systems, based on artificial neural networks and expert rules, developed by
Martins [MEA 2004], Melo [MEL 2003] and Meireles [MEI 2003]. Due to the
fact that, in its initial empirical validation, neural training data has been
originated from courseware in Introduction to Data Processing , some doubts
have remained on the applicability of the trained neural network to other
scenarios. The present production has approached these issues by the
formalization of the content format and by presenting promising empirical results
in two other scenarios: Scientific Methodology and Biological Rhythms .
Results were analyzed by non-parametric methods with 5% significance. They
reinforce the hypotheses that the studied tutoring system is efficient, able to
reduce differences of distinct groups and shows thematic adaptability actually
Descrição
Citação
QUINDERÉ, Pedro Sérgio Gomes. Thematic Adaptability in Hybrid Intelligent Tutoring Systems. 2008. 194 f. Dissertação (Mestrado em Engenharia) - Universidade Federal de Goiás, Goiânia, 2008.