Plataforma para construção de ambientes interativos de aprendizagem baseados em agentes

• Ano de defesa: 2006
• Autor(a) principal: Pinto, Ig Ibert Bittencourt Santana
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Alagoas; BR; Modelagem Computacional de Conhecimento; Programa de Pós-Graduação em Modelagem Computacional de Conhecimento; UFAL
• Palavras-chave em Português: Interactive learning environments; Artificial intelligence; Software agents; Ontology; Ambientes interativos de aprendizagem; Agentes de software; Ontologia; Framework; CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO
• Link de acesso: http://repositorio.ufal.br/handle/riufal/807

This dissertation presents the design and development of an agent-based interactive learning environment based on the Mathema Model. Such model adopts a problem-based learning approach as a pedagogical method that is achieved in an interaction environment that is populated by software and human agents (students and teachers), working together in favour of the human learners. This interaction occurs aiming at helping human learners to solve problems into given knowledge domain. This model aims to help learners during several phases involved in the build solution process, including the problem analysis. With this sense, the interaction between three agent categories was modeled: human learner agent, teacher and artificial tutoring agent. This work proposes a platform for building agent-based interactive learning environments, supporting as framework to developers/software engineers as authoring to non developers users like teachers and knowledge engineers. In addition, the platform has collaborative tools, an ontology-based infrastructure and an agent society that help at the domain modeling and problem solving process (through artificial intelligence techniques). It was conducted two case studies (at legal domain and health domain) and an initial investment at mathematical domain that demonstrate that the proposed platform is feasible.