2014-07-292009-06-192008-02-23QUINDERÉ, Pedro Sérgio Gomes. Thematic Adaptability in Hybrid Intelligent Tutoring Systems. 2008. 194 f. Dissertação (Mestrado em Engenharia) - Universidade Federal de Goiás, Goiânia, 2008.http://repositorio.bc.ufg.br/tede/handle/tde/976In 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 actuallyapplication/pdfAcesso AbertoSistemas Tutores Inteligentes Híbridos, regras de especialistas, redes neurais artificiais, adaptabilidade temáticaHybrid intelligent tutoring systems, expert rules, artificial neural networks, thematic adaptabilityCNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO::METODOLOGIA E TECNICAS DA COMPUTACAO::ENGENHARIA DE SOFTWAREDissertação