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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Developing country like Bangladesh, it is an unarguable fact that the development of a nation is dependent on education of its people. The purpose of this research is to determine the fundamental issues that act behind high dropouts in primary and followed by secondary level in Bangladesh. The study also has found some interventions that may play a critical role in reducing school dropout. Data had been collected from the industrial area of Tongi named Tetul-tola Slum, Kolabagan, Tongi, and secondary data had been collected from published Govt. Research papers. The data demonstrate that not only the economic background, parents unwillingness to education, parents education level, the distance of a school, gender discrimination, low quality of education, security problem of girls in school, teachers’ behavior, even students’ unwillingness to go to school and earning money in early age are the key reasons of children drop out from school. However, girls are more likely to drop school than boys.
Tazia Hossain. 2021. \u201cFactors Leading to School Dropout in Bangladesh: An Empirical Approach\u201d. Global Journal of Human-Social Science - G: Linguistics & Education GJHSS-G Volume 21 (GJHSS Volume 21 Issue G2): .
Crossref Journal DOI 10.17406/GJHSS
Print ISSN 0975-587X
e-ISSN 2249-460X
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Total Score: 101
Country: Bangladesh
Subject: Global Journal of Human-Social Science - G: Linguistics & Education
Authors: Tazia Hossain (PhD/Dr. count: 0)
View Count (all-time): 156
Total Views (Real + Logic): 2448
Total Downloads (simulated): 1069
Publish Date: 2021 02, Wed
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Developing country like Bangladesh, it is an unarguable fact that the development of a nation is dependent on education of its people. The purpose of this research is to determine the fundamental issues that act behind high dropouts in primary and followed by secondary level in Bangladesh. The study also has found some interventions that may play a critical role in reducing school dropout. Data had been collected from the industrial area of Tongi named Tetul-tola Slum, Kolabagan, Tongi, and secondary data had been collected from published Govt. Research papers. The data demonstrate that not only the economic background, parents unwillingness to education, parents education level, the distance of a school, gender discrimination, low quality of education, security problem of girls in school, teachers’ behavior, even students’ unwillingness to go to school and earning money in early age are the key reasons of children drop out from school. However, girls are more likely to drop school than boys.
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