Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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A0H56
Marília Cristyne Souto Galvão Barros Matsumoto
In Brazil, the creation of the Federal Institutes of Education, Science and Technology (IFEs) was a public policy that brought about an exponential increase of resources of the federal government. These resources came to be monitored by the control bodies as to their effectiveness and efficiency. For this monitoring, the Federal Audit Office (TCU) established academic indicators that express the results of investments in federal vocational education institutions. The objective of this article is to analyze the correlation between one of these indicators: the Graduate Academic Efficiency Rate -which measures the ability to achieve success among the students that finish -and the other established management indicators. As for the methodology, a qualitative-quantitative analysis was performed. The results showed that there is no direct relationship between the Quality Indicator of Academic Efficiency of Graduates and the management indicators established by the TCU.
Marília Cristyne Souto Galvão Barros Matsumoto. 2019. \u201cStudy of Management and Performance Indicators in the Evaluation of the Expansion of the Brazilian Federal Technical Teaching of the Northeast Region between 2012 and 2016\u201d. Global Journal of Management and Business Research - A: Administration & Management GJMBR-A Volume 19 (GJMBR Volume 19 Issue A8): .
Crossref Journal DOI 10.17406/GJMBR
Print ISSN 0975-5853
e-ISSN 2249-4588
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Total Score: 104
Country: Brazil
Subject: Global Journal of Management and Business Research - A: Administration & Management
Authors: Marília Cristyne Souto Galvão Barros Matsumoto, Sheila Andréa Silva de Albuquerque, Luciana Peixoto Santa Rita, Ibsen Mateus Bittencourt Santana Pinto (PhD/Dr. count: 0)
View Count (all-time): 155
Total Views (Real + Logic): 2690
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Publish Date: 2019 07, Wed
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Neural Networks and Rules-based Systems used to Find Rational and
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In Brazil, the creation of the Federal Institutes of Education, Science and Technology (IFEs) was a public policy that brought about an exponential increase of resources of the federal government. These resources came to be monitored by the control bodies as to their effectiveness and efficiency. For this monitoring, the Federal Audit Office (TCU) established academic indicators that express the results of investments in federal vocational education institutions. The objective of this article is to analyze the correlation between one of these indicators: the Graduate Academic Efficiency Rate -which measures the ability to achieve success among the students that finish -and the other established management indicators. As for the methodology, a qualitative-quantitative analysis was performed. The results showed that there is no direct relationship between the Quality Indicator of Academic Efficiency of Graduates and the management indicators established by the TCU.
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