Abstract
This work presents the design, implementation and evaluation of an
Intelligent Tutorial System based on Self-Organizing Maps (neural
networks), which is able to adapt, react, and offer customized and
dynamic tuition. The implementation was realized in web environment
(and technology). On the instructional design, the content, source
of knowledge to be learned, has been modeled in an original way and
is adequate to neural control. At the evaluation, two user groups
have been compared. The first one (the control group) moves freely
in the content, while the other group (the experimental group) is
guided by the decision of neural networks previously trained from
the most successful free interactions. Therefore, the control group
serves not only as reference but also as source of good examples.
Statistical techniques were employed to analyze the significance
of sample differences between the two groups. Results from the interaction
time have shown significant differences in favor of the guided tutor.
All users guided by the intelligent control have performed as well
as the best ones which had freedom to navigate through the content.
Users
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