Psychological Determinants of Academic Integrity in the Use of Generative AI in Higher Education

A recent research paper from arXiv examines the psychological factors influencing the ethical use of generative artificial intelligence (GenAI) in higher education. The study frames academic integrity not merely as a technological challenge, but as a decision-making process rooted in psychological determinants. It identifies several key psychological elements, such as moral reasoning, perceived social norms, and AI literacy, that shape whether GenAI is used honestly or dishonestly by students.

Why it matters

This research is strategically important because it shifts the focus from purely technological solutions to understanding the human behavioral aspects of AI adoption. Recognizing the psychological underpinnings of ethical AI use is crucial for developing effective strategies to foster integrity and mitigate risks associated with new technologies in any domain, beyond just academia.

Key insights

• Academic integrity in the context of GenAI use in higher education is viewed as a psychologically mediated decision process, not solely a technological problem.
• Key psychological determinants influencing GenAI use include moral reasoning, perceived social norms, and the clarity of institutional policies.
• Individual factors such as academic self-efficacy, AI literacy, and the pressure to perform also play a role.
• Beliefs about authorship significantly impact the honest or dishonest application of GenAI.
• The research utilizes a focused narrative review and conceptual synthesis, drawing from 16 publications between 2022 and March 2026.

Source

arXiv — Computers and Society — https://arxiv.org/abs/2608.14605