Beyond Acceptance: Understanding Students’ Responsible Use of Generative AI in Higher Education Through AI Literacy, Ethical Awareness, and Self-Efficacy

Generative artificial intelligence (GenAI) has rapidly entered higher education,
creating opportunities for personalized assistance, drafting, idea generation, language
support, and problem solving while raising concerns about academic integrity, privacy,
attribution, misinformation, bias, and overreliance. Student acceptance alone is
therefore insufficient to explain whether GenAI is used responsibly and effectively for
learning. This paper examines the conditions that support responsible GenAI use,
focusing on three interrelated constructs: AI literacy, ethical awareness, and AI selfefficacy. The synthesis integrates evidence on students’ understanding of AI, ethical
judgments and responsible-use concerns, confidence in using AI tools, and behavioral
patterns associated with GenAI use in higher education. The findings indicate that AI
literacy provides the cognitive foundation for responsible use by enabling students to
understand GenAI capabilities, evaluate output quality, recognize limitations, and
select appropriate applications. Ethical awareness adds a normative dimension by
shaping decisions related to disclosure, attribution, privacy, fairness, and academic
integrity. AI self-efficacy contributes an action-oriented dimension by influencing
students’ confidence in prompting effectively, verifying outputs, revising AI-assisted
work, and managing dependence on the technology. Based on these relationships, the
paper proposes an integrated framework in which AI literacy supports ethical judgment
and self-efficacy, while institutional guidance and learning context shape how these
capabilities translate into responsible behavior. The findings highlight the need for
competency-based approaches that help students understand, evaluate, disclose, and
responsibly integrate GenAI into higher education learning.