大学生生成式AI依赖的关联因素及其伦理风险研究——基于温江大学城368份问卷数据

Research on the Factors Related to College Students’ Reliance on Generative AI and Their Ethical Risks—Based on 368 Questionnaires from Wenjiang University Town

摘要: 本研究旨在探讨影响当代大学生对生成式AI产生依赖的关联因素，并分析其伴随的伦理风险。研究以温江大学城的368名在校大学生为调查对象，通过问卷调查法收集数据。研究采用描述性统计和多元回归分析等方法，考察了AI使用频率、可及性、学习有用性、社会态度、个人经验、隐私安全、机构指南等多个因素与学生AI依赖程度之间的关系。研究发现，AI使用频率是影响依赖的最强预测因素，同时，个性化学习、个人经验、学习有用性、可及性、社会态度、机构指南以及隐私与数据安全担忧也与AI依赖存在显著的正向关联。研究结论指出，大学生对生成式AI的依赖是一个由技术便利性、个人效用感知和制度环境共同作用的复杂现象，并伴随着认知外包、学术诚信和数据安全等伦理风险，需要教育机构进行系统性引导和规制。

Abstract: This study aims to explore the factors influencing contemporary college students’ dependence on generative AI and to analyze the accompanying ethical risks. The study surveyed 368 university students in Wenjiang University Town, collecting data through questionnaire surveys. Using descriptive statistics and multiple regression analysis, the study examined the relationships among multiple factors such as AI usage frequency, accessibility, learning usefulness, social attitude, personal experience, privacy security, and institutional guidelines and students’ degree of AI dependence. The study found that AI usage frequency is the strongest predictor of dependence, while personalized learning, personal experience, learning usefulness, accessibility, social attitudes, institutional guidelines, as well as privacy and data security concerns, are all significantly positively correlated with AI dependency. The research conclusion points out that college students’ reliance on generative AI is a complex phenomenon driven by the combined effects of technological convenience, perceived personal utility, and institutional environment, accompanied by ethical risks such as cognitive outsourcing, academic integrity, and data security, requiring systematic guidance and regulation from educational institutions.