Navegando por Autor "MELLO, Maria Helena Campos Soares de"

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    Análise envoltória de dados para avaliação de departamentos de ensino
    (2004) MELLO, Maria Helena Campos Soares de; LETA, Fabiana Rodrigues; GOMES, Eliane Gonçalves; MELLO, João Carlos Correira Baptista Soares de
    When evaluating teaching departments at a university, there is always the impression of subjectivity, due to the greater or lesser importance attributed to the functions they must exercise: teaching, research and extension. In addition, current models based on weighted sums oblige departments to perform well on all items evaluated, seriously harming those who have a very strong vocation in only one area, such as a strong teaching department, but without research . These two problems are particularly serious when evaluation is used to allocate resources, whether financial, material or human. This article proposes an alternative model based on Data Envelopment Analysis (DEA). This technique compares each department's output with available resources. The attribution of weights to each item is differentiated by department, so that there is no subjectivity and the item with the best performance of each one is valued. In this article, departments of the Technological Center of the Universidade Federal Fluminense are evaluated, considering as resources the number of professors, and as variable products linked to the number of students, number of classes, research and expansion. Models with and without weight restrictions are used.
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    Uma análise da qualidade e da produtividade de programas de pós-gradação em Engenharia
    (2003) MELLO, João Carlos Correia Baptista Soares de; GOMES, Eliane Gonçalves; MEZA, Lidia Ângulo; MELLO, Maria Helena Campos Soares de
    Postgraduate courses are periodically evaluated by CAPES (Coordination for the Improvement of Higher Education Personnel) according to criteria that are not always clear. These criteria seek to measure, among others, academic productivity (including quality and quantity of scientific production), the dedication of the faculty, the time to complete the course, etc. Quantification of academic excellence is generally not performed; is done qualitatively. This article aims to evaluate the performance of engineering graduate programs in their capacity to transform master's and doctoral theses into public scientific production, and the production of each graduate program in relation to the resources available to them. For both cases, Data Envelopment Analysis (DEA) models are used. The 12 postgraduate programs in Engineering at COPPE (UFRJ) are used as evaluation units.