Evaluating the teaching effectiveness using multivariate statistics

• Ano de defesa: 2013
• Autor(a) principal: Silva, Thomaz Edson Veloso da
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: eng
• Palavras-chave em Português: Teleinformática; Engenharia - Estudo e ensino; Educação - Currículo
• Link de acesso: http://www.repositorio.ufc.br/handle/riufc/5067

In this work, we propose the use of multivariate data analysis in addition to the classical descriptive statistics, to address the problem of Students' Evaluation of Teaching E ectiveness (SETE) in a Teleinformatics Engineering course of the Federal University of Cear a. First, the factorial analysis validates the application of the SETE instrument in the Teleinformatics Engineering course's context. The Cronbach's revealed high internal consistency of the dataset. The PCA has been applied in order to take some intrinsic information about the relationship among the disciplines that have been analyzed, using the students' point of view. The curricular structure found into PCA application must be validated, then the Hierarchical Cluster Analysis (HCA) has been used to validate the PCA course's structure using the Ward's method that validates the PCA's curricular structure. The results show that our study allows an analysis of how students perceive di erent disciplines about di erent criteria, which may serve as an indicator of educational quality for educational assessment area.