Optimization of a structural model for promoting girls’ supervision mentoring

Anassin Chiatsè Mireille Patricia (), Kra Lagasane Ouattara () and Aka Ahoua Cyrille ()

Edelweiss Applied Science and Technology, 2024, vol. 8, issue 6, 12-17

Abstract: According to a World Bank study, each additional year of secondary education for a girl is associated with an 18% increase in her earning capacity as an adult. Education and training help improve women's skills. However, natural resources and economic growth are the challenges to female empowerment and literacy. Cultural stereotypes and national laws influence women's participation in the labor market. Note that discrimination and marginalization of women are linked to poverty and the underdevelopment of a country. They also influence decision-making. Thus, to overcome these problems and based on approaches from the literature, it is appropriate to set up a system for promoting female skills through machine learning tools. This system will allow systematic supervision of young girls, especially the most vulnerable in rural areas. These young girls will benefit from financial assistance and psychological support with the aim of acquiring skills for the job markets. Therefore, the establishment of lucrative activities for women will help strengthen their capacity. In a word, girls' education is, in terms of development, the best investment that a country can make. “To educate a man is to educate an individual. To educate a woman is to educate an entire nation,” as Ghanaian intellectual James Emman said Aggrey.

Keywords: Competence; Decision making; Machine learning tools; Mentoring. (search for similar items in EconPapers)
Date: 2024
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