This
project proposes to investigate the convergence of technologies for
analyzing user behavior, modeling of user profiles, recognition schemes
and adaptive systems, and its applicability in the development of
intelligent learning environments.
The central objective of the Adapt-SUR project is the construction and
validation of environments and intelligent agents, mainly based on the
Web, allowing the analysis of behavior of students modeling their
profile and recognition of their plans and intentions, and use these
techniques to adapt the navigation and presentation of content in a
teaching / learning.
The collaboration between the participating teams is proposed for the
study and development of computational tools integrated to Web learning
environments, and the integration of techniques and features of
different platforms previously developed by the participating teams, as
well as experimentation with the environments resulting in the two
contexts covered.
Participants:
- ISISTAN, Instituto de Sistemas Tandil, Univ. Nac. del Centro Pcia. Bs. As
- Instituto de Informatica - Universidade Federal do Rio Grande do Sul, Porto Alegre, Brasil
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