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intention to use AI (β = 0.89); this intention strongly predicts actual AI use (β = 0.92); and both factors

contribute to an increased likelihood of academic integrity violations (IN → VI: β = 0.47; AP → VI: β
= 0.34). Mediation analysis confirms the transitional role of intention and behavior in AI use, accounting
for 65% of the total effect from academic pressure to violations. Notably, awareness of academic ethics
does not mitigate misconduct but instead moderates the relationship by amplifying the link between AI

use and violations. Based on these findings, the study proposes pedagogical and ethical policy
recommendations aligned with digital transformation in education

Keywords: academic pressure, AI use behavior, artificial intelligence, ethical awareness, academic
integrity violation

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