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This study quantitatively explores how sex moderates the relationship between AI self-efficacy and attitudes toward AI among university students in Davao City, Philippines. Data were obtained online via google forms using tailored questionnaires, with respondents chosen using stratified random sampling. The measurement model was tested for validity and reliability, and the constructs were defined using descriptive statistics. To evaluate the suggested moderation model, a moderation analysis was conducted using smartpls 4.0’s standard bootstrapping technique. The results showed that the constructs were valid and reliable, with university students exhibiting modest levels of ai self-efficacy and attitude toward ai. Furthermore, the study found that sex had a significant moderating role in the relationship between AI self-efficacy and attitude toward AI.
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Guipitacio et al. (2025) studied this question.
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