Condições de funcionamento do Curso de Graduação em Geologia da Universidade Federal do Ceará: construtos a partir da percepção discente

• Ano de defesa: 2011
• Autor(a) principal: Silva Filho, Wellington Ferreira da
• Orientador(a): Rodrigues, Maxweel Veras
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: http://www.teses.ufc.br
• Palavras-chave em Português: Curso de Geologia; Avaliação Educacional; Análise Fatorial; Geology Course; Educational Evaluation; Factorial Analysis; Universidade Federal do Ceará - Currículos - Avaliação; Universidade Federal do Ceará - Estudantes; Estudantes universitários - Avaliação - Fortaleza(CE); Estudantes universitários - Fortaleza(CE) - Atitudes; Geologia - Estudo e ensino(Superior) - Fortaleza(CE)
• Link de acesso: http://www.repositorio.ufc.br/handle/riufc/2885

The aim of this research is to determine a relationship structure of variables that describe the operating conditions of the Graduate Course of Geology (Universidade Federal do Ceará), using the student’s perceptions. In order to achieve this, it was designed an evaluation trough 22 closed ended questions, answered in a four grade perception scale, from negative to positive. The questions were organized in five evaluative dimensions. The answers of 76 questionnaires allowed the characterization of course dimensions regarded as strengths: Professor Staff, Technical-Administrative Personal Staff, and Curriculum general characteristics. The dimensions regarded as weaknesses were: Infrastructure and aspects included in Curriculum as class schedules, scholarship and traineeship opportunities. An exploratory factorial analysis was conducted and resulted in four perception constructs involving 15 variables: Coordination Course, Students Progression, Infrastructure of Instruction and Acquaintance, and Professional Formation. Students Progression revealed itself a central construct in the relationship structure, linking with all the others constructs and some of the factorial analysis excluded variables. These relationships allowed the identification and suggestion of indicators that could provide measures to process monitoring and course improvement.