人工智能视域下大学生学术规范问题研究
Research on College Students’ Academic Norms from the Perspective of Artificial Intelligence
摘要: 人工智能技术的迅猛发展,特别是以ChatGPT为代表的大语言模型,深刻重塑了大学生学术论文写作的范式。人工智能在提供高效信息检索、智能写作辅助与创新研究方法的同时,也引发了学术道德失范风险加剧、内容质量验证困境及学术能力发展依赖性危机等严峻挑战。本文系统探讨了人工智能对大学生学术写作的变革性影响,剖析其引发的学术规范失序问题及其深层根源,并通过对20名不同学科年级的大学生进行分层访谈进行实证研究。基于研究发现,创新性提出“教育引导–技术治理–制度约束–多元协同”的综合治理框架。研究表明,亟需通过强化科研伦理教育、构建智能识别与监测体系、完善学术规范制度设计、形成“政府–高校–企业–学术共同体”协同共治格局,以驾驭技术红利,防范伦理风险,最终构建人工智能时代健康、创新、负责任的学术生态。
Abstract: The rapid development of artificial intelligence technology, especially large language models represented by ChatGPT, has profoundly reshaped the paradigm of academic paper writing among college students. While AI offers efficient information retrieval, intelligent writing assistance, and innovative research methods, it has also intensified risks of academic misconduct, posed challenges in verifying content quality, and raised concerns about the over-reliance on technology for academic ability development. This paper systematically explores the transformative impact of AI on college students’ academic writing, analyzes the disorder of academic norms it has caused and its underlying reasons, and conducts empirical research through stratified interviews with 20 college students from different disciplines and grades. Based on the research findings, an innovative comprehensive governance framework of “education guidance—technical governance—institutional constraints—multi-party collaboration” is proposed. The study suggests that it is imperative to strengthen scientific research ethics education, build an intelligent identification and monitoring system, improve the design of academic norms and regulations, and form a collaborative governance pattern of “government—universities—enterprises—academic community” to harness the benefits of technology, prevent ethical risks, and ultimately establish a healthy, innovative, and responsible academic ecosystem in the era of artificial intelligence.
文章引用:唐沙. 人工智能视域下大学生学术规范问题研究[J]. 教育进展, 2025, 15(8): 486-492. https://doi.org/10.12677/ae.2025.1581464

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