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All Journal Journal of Applied Artificial Intelligence in Education
Nabilah Auliah Rahman
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Computer Science & IT Education Social Sciences Other

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Affective Dynamics and Ethics of AI Use among Higher Education Students: A PLS-SEM Study Nabilah Auliah Rahman; Melda Auliyah Zakina; Aprilianti Nirmala S; Saipul Abbas
Journal of Applied Artificial Intelligence in Education Vol 1, No 2 (2026): January 2026
Publisher : Lontara Digitech Indonesia

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Abstract

The use of artificial intelligence (AI) in higher education is increasing rapidly, raising questions about how emotional well-being, AI credibility, and AI interaction quality shape students’ affective engagement and ethical awareness. This study employs a quantitative cross-sectional design and analyzes data using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results show that emotional well-being (β = 0.549, p < 0.001) and AI interaction quality (β = 0.420, p < 0.001) significantly affect affective engagement, while AI credibility has no significant effect (β = –0.045, p = 0.342). Affective engagement significantly influences ethical awareness (β = 0.597, p < 0.001) and mediates the effects of emotional well-being and interaction quality. The model explains substantial variance in affective engagement (R² = 0.561) and moderate variance in ethical awareness (R² = 0.357). These findings highlight the importance of emotional and interactional factors in fostering ethical awareness and support the need for human-centered and ethically grounded AI integration in education.
Co-Authors Aprilianti Nirmala S Melda Auliyah Zakina Saipul Abbas