Use este identificador para citar ou linkar para este item: http://repositorio.ufc.br/handle/riufc/70732
Tipo: Artigo de Evento
Título: Multivariate analysis for students' evaluation of teaching effectiveness in teleinformatics engineering
Autor(es): Silva, Thomaz Edson Veloso da
Vasconcelos, Francisco Herbert Lima
Almeida, André Lima Férrer de
Mota, João César Moura
Palavras-chave: Principal components analysis;Engineering education;Evaluation;University teaching
Data do documento: 2012
Instituição/Editor/Publicador: International Conference on Teaching, Assessment, and Learning for Engineering
Citação: MOTA, J. C. M. et al. Multivariate analysis for students' evaluation of teaching effectiveness in teleinformatics engineering. In: INTERNATIONAL CONFERENCE ON TEACHING, ASSESSMENT, AND LEARNING FOR ENGINEERING, 2012, Hong Kong. Anais... Hong Kong: IEEE, 2012. p. 1-6.
Resumo: In this work, we propose the use a multivariate analysis tool, called principal components analysis (PCA), to address the problem of Students' Evaluation of Teaching Effectiveness (SETE). We conducted a research with Engineering Students in an undergraduate course. The values obtained after collecting research data were transformed from a 3D array to a 2D array performing an average of students' responses. The PCA was applied in order to take same intrinsic information of the dataset collected. The Cronbach's α validates the PCA application in the dataset. The results show that our study allows an analysis of how students perceive different disciplines about different criteria, which may serve as an indicator for an educational assessment area.
URI: http://www.repositorio.ufc.br/handle/riufc/70732
Aparece nas coleções:DETE - Trabalhos apresentados em eventos

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