
A recent study has highlighted the significant emotional distress experienced by university students facing allegations of academic misconduct. With the rise of generative artificial intelligence (AI), many students have reported being wrongly accused of using AI for cheating, often based on unreliable detection methods.
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Historically, universities have had procedures to investigate such allegations, but research on the impact of these experiences on student wellbeing has been limited. In 2024, a large-scale survey was conducted involving students from two Australian universities, investigating their awareness of plagiarism and instances of academic misconduct. Out of 771 participants, 22 reported having been investigated for academic misconduct.
These 22 students completed a follow-up survey assessing their levels of depression, anxiety, and stress during the misconduct investigation process, alongside open-ended questions about their experiences. Their results were compared with those of over 1,000 students who had not faced similar allegations, as well as psychological norms from more than 2,000 Australian adults.
The findings revealed that more than half of the students facing misconduct allegations recorded exceptionally high levels of anxiety, placing them in the top 2% of typical anxiety scores in the general population. Additionally, 50% of these students reported severe depressive symptoms, while only three managed to remain within the normal ranges for these psychological measures.
The research also noted that a higher proportion of students accused of misconduct were non-native English speakers, aligning with previous studies indicating that international students are often disproportionately represented in such allegations.
While some students indicated that the investigation process taught them valuable lessons about academic integrity, many felt that it was overly punitive, which exacerbated their stress. One student remarked on the harshness of their university's approach, stating they had not learned effectively due to the negative environment.
Another student described experiencing continuous anxiety during a prolonged six-week investigation, which severely hindered their ability to manage other responsibilities, including exams.
To improve student experiences during investigations, the study suggests universities should refrain from proceeding with allegations based on questionable evidence. Changes to assessment design are recommended to reduce opportunities for AI-related cheating. This could include implementing more supervised exams and in-class assessments.
Additionally, universities are encouraged to provide better access to psychological support services and to educate students on academic misconduct during investigations. Reducing the duration of these processes could also help minimize emotional distress for students.