Does AI mean more uni students are plagiarising their work?

2026-04-01 · Source: Artificial intelligence (AI) – The Conversation · Field: Education & Learning — Educational Technology (EdTech), Academic Research & Higher Education · Depth: Intermediate, short

Summary

New research tracking students at Western Sydney University (WSU) over 20 years indicates that plagiarism among university students may be falling, contrary to widespread claims intensified by generative AI. The longitudinal study, conducted every five years since 2004, surveyed students on their understanding and engagement with various forms of plagiarism. Results show the percentage of students engaging in any form of plagiarism at least once decreased from over 80% in 2004 to 57% in 2024. While 14% of students in 2024 admitted to copying from AI without acknowledgment, only 2% reported this as their sole form of plagiarism. The decline correlates with increased use of text-matching software and improved academic integrity training. The study also found that most students who plagiarize do so knowingly, and the presence of AI detectors did not significantly impact rates of AI-based plagiarism.

Key takeaway

For academic integrity officers and university administrators assessing the impact of AI on student conduct, this research suggests that while AI introduces new forms of plagiarism, overall rates may be decreasing due to existing detection and education efforts. You should continue to invest in comprehensive academic integrity education and text-matching tools, rather than relying solely on AI detection software, to foster a culture of ethical scholarship.

Key insights

Longitudinal data suggests student plagiarism, including AI-based forms, may be declining, not increasing.

Principles

• Longitudinal studies offer robust evidence for trend analysis.
• Academic integrity education reduces unintentional plagiarism.
• AI detectors alone do not deter plagiarism.

Method

A longitudinal survey administered every five years since 2004 to WSU students, presenting plagiarism scenarios and asking about understanding and self-reported engagement. The 2024 survey included questions on AI use and expanded to five additional Australian universities.

In practice

• Implement consistent academic integrity training.
• Utilize text-matching software for detection.
• Focus on understanding student motivations for plagiarism.

Topics

• Academic Integrity
• Plagiarism Trends
• Generative AI
• Longitudinal Study
• Western Sydney University

Best for: Research Scientist, Domain Expert, Policy Maker

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Editorial summary, takeaway, and curation by AIssential. Original article published by Artificial intelligence (AI) – The Conversation.