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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In this investigation, the degree to which GPAs might be different between firstgeneration and non-first-generation students by gender and ethnicity/race for community college students was addressed. Utilizing a 25% random sample of responses from the Community College Survey of Student Engagement (CCSSE), student success as a function of their gender and race/ethnicity was analyzed. Student success was statistically significantly different between first-generation and non-first-generation students by gender and by ethnicity/race. In all cases, GPAs were higher for non-first-generation students than for first-generation students. Implications of the results were discussed.
John Slate. 2017. \u201cDifferences in GPA by Gender and Ethnicity/Race as a Function of First-Generation Status for Community College Students\u201d. Global Journal of Human-Social Science - A: Arts & Humanities GJHSS-A Volume 17 (GJHSS Volume 17 Issue A3): .
Crossref Journal DOI 10.17406/GJHSS
Print ISSN 0975-587X
e-ISSN 2249-460X
The methods for personal identification and authentication are no exception.
The methods for personal identification and authentication are no exception.
Total Score: 133
Country: United States
Subject: Global Journal of Human-Social Science - A: Arts & Humanities
Authors: George W. Moore, John R. Slate, Edrel Z. Stoneham (PhD/Dr. count: 0)
View Count (all-time): 135
Total Views (Real + Logic): 3312
Total Downloads (simulated): 1601
Publish Date: 2017 08, Mon
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Neural Networks and Rules-based Systems used to Find Rational and
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In this investigation, the degree to which GPAs might be different between firstgeneration and non-first-generation students by gender and ethnicity/race for community college students was addressed. Utilizing a 25% random sample of responses from the Community College Survey of Student Engagement (CCSSE), student success as a function of their gender and race/ethnicity was analyzed. Student success was statistically significantly different between first-generation and non-first-generation students by gender and by ethnicity/race. In all cases, GPAs were higher for non-first-generation students than for first-generation students. Implications of the results were discussed.
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