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http://repositorio.ufc.br/handle/riufc/70732
Tipo: | Artigo de Evento |
Título : | Multivariate analysis for students' evaluation of teaching effectiveness in teleinformatics engineering |
Autor : | Silva, Thomaz Edson Veloso da Vasconcelos, Francisco Herbert Lima Almeida, André Lima Férrer de Mota, João César Moura |
Palabras clave : | Principal components analysis;Engineering education;Evaluation;University teaching |
Fecha de publicación : | 2012 |
Editorial : | International Conference on Teaching, Assessment, and Learning for Engineering |
Citación : | 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. |
Resumen en portugués brasileño: | 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 en las colecciones: | DETE - Trabalhos apresentados em eventos |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
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2012_eve_jcmmota.pdf | 1,35 MB | Adobe PDF | Visualizar/Abrir |
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