Competencies and Performance of Engineering Professors: Evidence from a Brazilian Public University

 This research aims to analyze the influence of Engineering professors’ competencies on their performance, as perceived by Engineering students and graduates from a Brazilian federal public university. Regarding methodology, a set of Engineering educators’ competencies were proposed, identified, and...

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Published in:Ingeniería e investigación Vol. 38; no. 3; pp. 33 - 41
Main Authors: Carvalho, Gustavo Dambiski Gomes de, Corrêa, Rúbia Oliveira, Carvalho, Hélio Gomes de, Vieira, Alboni Marisa Dudeque Pianovski, Stankowitz, Rosângela De Fátima, Kolotelo, Jorge Luciano Gil
Format: Journal Article
Language:English
Published: Bogota Universidad Nacional de Colombia 01-09-2018
Facultad de Ingeniería, Universidad Nacional de Colombia
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Summary: This research aims to analyze the influence of Engineering professors’ competencies on their performance, as perceived by Engineering students and graduates from a Brazilian federal public university. Regarding methodology, a set of Engineering educators’ competencies were proposed, identified, and validated by exploratory factor analysis (EFA), parallel analysis, internal consistency (Cronbach’s alpha), and partial confirmatory factor analysis (PCFA) in a sample of 139 Engineering students and graduates (engineers), who answered a 35-item questionnaire. Results reveal three main competencies (namely, content-pedagogical knowledge, innovation-inspiring attitudes, and emotional skills) that further the research on the competencies of Engineering professors. First, content-pedagogical knowledge is perceived by students as a single, merged competence. Second, Engineering students not only need to develop innovation competencies, but Engineering educators also have to develop innovation-inspiring attitudes to motivate students’ innovativeness. Third, emotional skills also play an important role in professors’ performance. Finally, the impact of these competencies on Engineering educators’ performance was confirmed and analyzed by means of a logistic regression.
ISSN:0120-5609
2248-8723
DOI:10.15446/ing.investig.v38n3.70998