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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The purpose of this article is to explain the factors that influence academic performance in higher education in Colombia for the year 2019. Therefore, an ordinal response econometric model was estimated: ordered logit based on the results of the ICFES-SABER PRO higher education state exam applied in 2019. The dependent variable in this case is polytomous, covering the categorization insufficient, minimum, satisfactory and excellent, which corresponds to the results obtained in the test from lowest to highest; and as explanatory variables we considered gender, origin of the student, study modality, nature of the university, scholarship, parents’ education, socioeconomic stratum, access to technological tools, and weekly hours worked by the students. The results obtained show that being male, being born in the city, studying in person, studying in a public university, having a scholarship, having parents with a higher level of education, belonging to a high economic stratum, access to technological tools such as computer and internet increase the probability of obtaining a better academic performance.
Rodriguez, Diego. 2021. \u201cInfluencing Factors in the Performance of Higher Education in Colombia, Year 2019\u201d. Global Journal of Human-Social Science - G: Linguistics & Education GJHSS-G Volume 21 (GJHSS Volume 21 Issue G8): .
Crossref Journal DOI 10.17406/GJHSS
Print ISSN 0975-587X
e-ISSN 2249-460X
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Total Score: 104
Country: Colombia
Subject: Global Journal of Human-Social Science - G: Linguistics & Education
Authors: Rodriguez, Mafla, Roberth, Year (PhD/Dr. count: 0)
View Count (all-time): 129
Total Views (Real + Logic): 2086
Total Downloads (simulated): 975
Publish Date: 2021 07, Thu
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The purpose of this article is to explain the factors that influence academic performance in higher education in Colombia for the year 2019. Therefore, an ordinal response econometric model was estimated: ordered logit based on the results of the ICFES-SABER PRO higher education state exam applied in 2019. The dependent variable in this case is polytomous, covering the categorization insufficient, minimum, satisfactory and excellent, which corresponds to the results obtained in the test from lowest to highest; and as explanatory variables we considered gender, origin of the student, study modality, nature of the university, scholarship, parents’ education, socioeconomic stratum, access to technological tools, and weekly hours worked by the students. The results obtained show that being male, being born in the city, studying in person, studying in a public university, having a scholarship, having parents with a higher level of education, belonging to a high economic stratum, access to technological tools such as computer and internet increase the probability of obtaining a better academic performance.
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