Song Jingyi, Liu Shuyan
Department of International Culture and Education, Chodang University, Muangun, South Korea.
Graduate School, Baekseok University, Seoul, South Korea.
BMC Psychol. 2025 Jul 1;13(1):633. doi: 10.1186/s40359-025-02949-w.
Academic misconduct among students is common, particularly now that AI tools are widely available. Students with dark personality traits may be more likely to engage in misconduct. Drawing on social cognitive theory, this study examines how the dark personality traits of materialism, narcissism, psychopathy, and Machiavellianism are associated with academic dishonesty, anxiety, and procrastination, and, in turn, frustration, negative thinking and generative AI use habits.
Self-reported data from 504 Chinese university art students were analyzed using structural equation modeling.
Results showed that dark personality traits were significantly associated with academic dishonesty, anxiety, and procrastination, and that these markers of academic misbehavior were linked to increased frustration, negative thinking, and generative AI use.
The findings highlight how personality traits are related to problematic academic behaviors and psychological difficulties. Academic institutions should provide appropriate training and psychological support to counter academic dishonesty and ensure students understand the value of academic ethics.
学生中的学术不端行为很常见，尤其是在人工智能工具广泛可用的当下。具有黑暗人格特质的学生可能更有可能从事不端行为。本研究借鉴社会认知理论，探讨物质主义、自恋、精神病态和马基雅维利主义等黑暗人格特质如何与学术不诚实、焦虑和拖延相关联，进而与挫折感、消极思维和生成式人工智能使用习惯相关联。
使用结构方程模型分析了504名中国大学艺术专业学生的自我报告数据。
结果表明，黑暗人格特质与学术不诚实、焦虑和拖延显著相关，而这些学术行为不端的指标与挫折感增加、消极思维和生成式人工智能使用有关。
研究结果突出了人格特质与有问题的学术行为和心理困难之间的关系。学术机构应提供适当的培训和心理支持，以对抗学术不诚实行为，并确保学生理解学术道德的价值。
