E-Learning Platforms for Gender-based Online Privacy Protection in Lagos, Nigeria: A Methodological Framework

E-Learning platforms are increasingly used in universities to facilitate learning. However, there is a growing concern about gender-based online privacy issues among university students, particularly in Lagos, Nigeria, where computer science education is prevalent. A mixed-methods approach was employed, combining quantitative surveys with qualitative interviews. A convenience sample of 150 university students from four public universities in Lagos participated in a survey assessing their knowledge, attitudes, and usage patterns regarding online privacy on E-Learning platforms. Interviews were conducted to explore perceptions of privacy features and user engagement. The survey revealed that 68% of participants had experienced privacy concerns related to gender-based issues such as cyberstalking or harassment while using E-Learning platforms. The most commonly used privacy feature was the ability to report suspicious activity, with a reported usage rate of 75%. Interviews highlighted the importance of user-friendly interfaces and clear instructions for privacy settings. The methodological framework successfully identified key areas for enhancing gender-based online privacy protection on E-Learning platforms. Recommendations were provided based on participant feedback and interviews to improve platform design and user experience. Implementing a comprehensive privacy policy, providing regular training sessions, and encouraging open communication channels regarding privacy issues are recommended for universities using E-Learning platforms in Lagos. E-learning, gender-based online privacy, university students, Lagos, Nigeria Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.