Planejamento instrucional adaptativo usando Workflow e planejamento genético

• Ano de defesa: 2009
• Autor(a) principal: Lopes, Robson da Silva
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Uberlândia; BR; Programa de Pós-graduação em Ciência da Computação; Ciências Exatas e da Terra; UFU
• Palavras-chave em Português: Inteligência artificial; Algoritmos genéticos; Planejamento instrucional; Tecnologia de workflow; Ensino à distância; Artificial intelligence; Genetic algorithm; Instructional planning; Workflow technology; CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO
• Link de acesso: https://repositorio.ufu.br/handle/123456789/12483

The course in distance learning can be customized taking in to account the specific characteristic of each student. This means that the learning environment has adaptativity. So, in order to develop adaptative systems of distance learning, it is necessary to consider the problems: instructional planning and the student model. The first problem allows to generate a specific sequence of content for each student and the second one provides the necessary information to cope with adaptativity. Planning techniques in Artificial Intelligence have been successfully used for determining the sequence of instructional actions. The Workflow technology has been used for the management of these systems. Then, this work presents an adaptative instructional planning and a student model based on Taxonomy of Educational Objectives and learning styles.