Gender Equality Through E-Learning: A Machine Learning Approach to Measuring Impact

In the contemporary digital era, e-learning has emerged as a transformative force in advancing women's empowerment and promoting gender equality. This study investigates the significant impact of e-learning on women's lives, illustrating how digital platforms can bridge gender divides and foster unprecedented opportunities for personal and professional development. By employing machine learning techniques, the research evaluates the advantages of e-learning, focusing on how online vocational and arts education can economically empower women and enhance their workforce participation. The study entailed an in-depth examination of 120 women from different age ranges, utilizing questionnaires and analytical techniques to evaluate the effectiveness of e-learning, as well as the mutual relationship between online education, improving women's skill abilities and socio-economic development.
The research highlights e-learning's potential to overcome barriers such as financial constraints and the limitations of traditional in-person education. It underscores the importance of innovative teaching strategies and institutional support in maximizing e-learning benefits. This study advocates for a more equitable society where women are empowered with the knowledge and skills necessary to excel in the digital age. Our main goal of this study is to evaluate the effect of e-learning in facilitating financial independence and achieving social equality in the target society, and in addition to this research, we examine the achievements of other developing countries in this field.