Interdisciplinary graduate programs: application of the MACBETH multicriteria method for assessing their performances
Autor: | Luís Alberto Duncan Rangel, Rafael Santos Tavares, Annibal Parracho Sant’Anna, Lidia Angulo-Meza |
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Rok vydání: | 2021 |
Předmět: |
Decision support system
021103 operations research Higher education Computer science business.industry Management science Rank (computer programming) 0211 other engineering and technologies General Decision Sciences 02 engineering and technology Management Science and Operations Research Work (electrical) Set (psychology) business Accreditation |
Zdroj: | Annals of Operations Research. 316:1383-1399 |
ISSN: | 1572-9338 0254-5330 |
DOI: | 10.1007/s10479-021-04108-x |
Popis: | This paper, employing the multicriteria method of decision support MACBETH, proposes a model for the evaluation of interdisciplinary graduate programs, based on indicators already used in the current model of evaluation of Brazilian graduate studies by Coordination for the Improvement of Higher Education Personnel (CAPES). In the present work, ten Computational Modeling Programs were considered, and six criteria were selected to verify the performance of these programs. There is presently in Brazil a steady growth of requests for accreditation of interdisciplinary programs and a quest to evaluate them differently, given their peculiarities. The main contribution of this study is to propose an alternative methodology for the evaluation of graduate programs, respecting the characteristics of the area of knowledge in which it is inserted, which is able to rank them based on qualitative judgments and to verify how much each course can progress, according to the score established for each program in a set of criteria considered. A comparison was made with the results of the evaluation methodology used by CAPES in the year 2017, being possible to verify some similarities in the evaluations of the graduate programs by the two methods. Finally, a sensitivity analysis was performed. |
Databáze: | OpenAIRE |
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