Please use this identifier to cite or link to this item: http://repositorio.ufc.br/handle/riufc/70732
Type: Artigo de Evento
Title: Multivariate analysis for students' evaluation of teaching effectiveness in teleinformatics engineering
Authors: Silva, Thomaz Edson Veloso da
Vasconcelos, Francisco Herbert Lima
Almeida, André Lima Férrer de
Mota, João César Moura
Keywords: Principal components analysis;Engineering education;Evaluation;University teaching
Issue Date: 2012
Publisher: International Conference on Teaching, Assessment, and Learning for Engineering
Citation: 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.
Abstract in Brazilian Portuguese: 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
Appears in Collections:DETE - Trabalhos apresentados em eventos

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