Instrumento de avaliação de processos cognitivos para a aprendizagem de subestações de energia em ambientes 2D e realidade virtual

• Ano de defesa: 2016
• Autor(a) principal: Silva, Aline Fernanda Furtado
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Ubelândia; Brasil; Programa de Pós-graduação em Tecnologias, Comunicação e Educação (Mestrado Profissional)
• Palavras-chave em Português: Educação; Realidade virtual; Subestações elétricas; Modelagem Bidimensional e Realidade Virtual; Subestações de Energia; Sistemas Avaliativos; Dimensional Modeling and Virtual Reality; Power Substations; Assessment Systems; CNPQ::CIENCIAS HUMANAS::EDUCACAO
• Link de acesso: https://repositorio.ufu.br/handle/123456789/17560; http://doi.org/10.14393/ufu.di.2016.243

This study describes the development of a prototype to evaluate the potential of environments based on two-dimensional modeling and virtual reality as power substations learning objects into training environments from a central operation and control of power utility Cemig. Initially, there was an identification modeling features and cognitive processes in 2D and RV, from which it was possible to create frames that serve to guide the preparation of a checklist with assigning a metric weight for measuring cognitive potential learning in the study sites. From these contents twenty-four questions were prepared and each was assigned a weight that was used in the calculation of the metric; the questions were grouped into skill sets and similar cognitive processes called categories. Were then developed two distinct environments: the first, the prototype features an interactive checklist and your individual results. And, second, a system of data management environment for the configuration and editing of the prototype, and the observation and analysis of the survey results. For prototype validation, were invited to access the virtual checklist and answer it, five professionals linked to Cemig's training area. The results confirmed the validity of this instrument application to assess the possible potential of modeling in 2D and RV as learning objects in power substations, as well as provide feedback to developers of virtual environments to improve the system.