| Abstrakt: |
Gender equality is a highly discussed topic, especially in regard to education. A standing issue is that there is gender parity in secondary education only in a small minority of nations. With the objective of understanding why gender parity fluctuates and how it can be made equitable, this research analyzes 400-plus social, economic, and political variables from nations across the world using modern data-mining techniques. Using basket-case analysis, Pearson’s correlation coefficient, and regression models, the top indicators that affect gender parity are identified. This research found that internet users as a percentage of a population, government-effectiveness index, rule-of-law index, mobile users as a percentage of a population, political violence risk, demographic pressures, displaced persons as a percentage of a population, fragile-state index, and student-to-teacher ratio affect the gender parity index of secondary schools the most. Then the models for each indicator were scored with data from years not included in the model to validate the accuracy of the models. While most nations did support the model predictions, Bangladesh, Rwanda, and Honduras were the few that defied forecasts. Then the factors that allow these nations to achieve gender-parity ratios rivaling first-world economies were investigated. Finally, with insight gained from our regression models and bright-spot analysis, certain policies that improve gender parity were recommended. [ABSTRACT FROM AUTHOR] |
