Mixed-methods approach identifies gender-based privacy concerns in E-Learning among university students, suggesting improved platform design for better protection.
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 θ̂=argminθ∑ᵢ(yᵢ,f_θ(xᵢ))+λθ₂², with performance evaluated using out-of-sample error.
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Adedeji et al. (2006) studied this question.
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