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<p>Academic integrity is a critical ethical issue in the use of generative artificial intelligence (AI) for writing assistance. Disclosure of AI-generated content is essential to maintain the authenticity and reliability of information. This study employs a moderated mediation model to examine the mediating role of AI ethics attention in the relationship between academic integrity perceptions and the intention to disclose AI-generated outputs, as well as the moderating effect of AI usage frequency. A survey was conducted among 519 valid respondents across 28 provinces, municipalities, and special administrative regions in China. The findings indicate that college students’ perceptions toward academic integrity do not directly influence their intention to disclose AI-generated content. Instead, AI ethics attention mediates the relationship between academic integrity perceptions and disclosure intentions. Furthermore, AI usage frequency negatively moderates both the relationship between AI ethics attention and disclosure intentions, and the mediating role of AI ethics attention in the link between academic integrity perceptions and disclosure intentions.</p>

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Effects of Chinese College Students’ Academic Integrity Perceptions on the Intention To Disclose AI-Generated Outputs: A Moderated Mediation Model

  • 期刊论文

  • 发表日期：

    2025年4月7日

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  • Xiaoqin Zhang,
  • Jinbao Zhang,
  • Mohamed Oubibi

摘要

Academic integrity is a critical ethical issue in the use of generative artificial intelligence (AI) for writing assistance. Disclosure of AI-generated content is essential to maintain the authenticity and reliability of information. This study employs a moderated mediation model to examine the mediating role of AI ethics attention in the relationship between academic integrity perceptions and the intention to disclose AI-generated outputs, as well as the moderating effect of AI usage frequency. A survey was conducted among 519 valid respondents across 28 provinces, municipalities, and special administrative regions in China. The findings indicate that college students’ perceptions toward academic integrity do not directly influence their intention to disclose AI-generated content. Instead, AI ethics attention mediates the relationship between academic integrity perceptions and disclosure intentions. Furthermore, AI usage frequency negatively moderates both the relationship between AI ethics attention and disclosure intentions, and the mediating role of AI ethics attention in the link between academic integrity perceptions and disclosure intentions.