ANÁLISE DA EFICIÊNCIA TÉCNICA DE CURSOS DE GRADUAÇÃO DA UNIVERSIDADE FEDERAL DO OESTE DO PARÁ-UFOPA
Abstract
The internal institutional evaluation of Higher Education Institutions, within the context of the National System for Evaluation of Higher Education (Sinaes), in addition to certification, is carried out in order to improve, through self-knowledge, the quality of higher education and the expansion of its supply. As a complementary way to the self-assessment process presented by the National Institute of Educational Studies and Research Anísio Teixeira (Inep), the challenge of the research proposed here is to measure the relative technical efficiency of undergraduate courses at the Universidade Federal do Oeste do Pará (Ufopa), through the Data Envelopment Analysis, also known as DEA, considering variables of inputs (investments) and outputs (results) provided and generated, respectively, for and by the courses. The DEA methodology was applied to evaluate 20 undergraduate courses offered at the headquarters of Ufopa, with institutional data from the year 2017, using 3 variables of inputs (investments) and 3 variables of products (results). An in-depth discussion was made about four fundamental elements, namely: the role of the so-called "Evaluating State", from which comes the public policies that guide the evaluation process of higher education in Brazil; the influence of Neoliberalism in the Brazilian education structure; the perspective of internal evaluation of undergraduate courses; and the methodology of Data Envelopment Analysis as an additional or alternative technique, able to evaluate the performance of undergraduate courses. The Siad software was used to process the data and determine the efficiencies of the courses evaluated through the application of the results-oriented BCC model (called outputs in the literature). It was concluded that the use of the DEA methodology proved promising for the composition of management strategies for undergraduate courses, since the relative technical efficiency of the selected units was assessed and a course correction was proposed for those units that did not reach the model's efficiency frontier.
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