趋近化视域下生成式人工智能教育话语的风险与价值建构：高校学术规范文本与AI写作工具广告的对比研究
Risk and Value Construction in Generative AI Education Discourse from the Perspective of Proximization: A Comparative Study of University Academic Norms and AI Writing Tool Advertisements
摘要: 高校学术规范文本与AI写作工具广告围绕生成式人工智能形成了不同的风险与价值叙事。本研究以趋近化理论为框架，选取六所高校的生成式人工智能使用指南和六个AI写作工具官网广告作为语料，采用定性文本细读方法，从空间、时间和价值三个维度比较两类话语对生成式人工智能风险与价值的建构。研究重点考察高校文本对学术失范、能力减损与责任边界的呈现，以及企业广告对写作困难、效率提升和未来发展的表述，并分析不同机构立场对学生身份与技术使用正当性的塑造。
Abstract: University academic norms and advertisements for AI writing tools frame generative artificial intelligence through different accounts of risk and value. Drawing on Proximization Theory, this study examines generative AI guidelines issued by six universities and advertisements published on the official websites of six AI writing tools. Through qualitative close reading, it compares how the two genres construct the risks and values of generative AI across spatial, temporal, and axiological dimensions. The study focuses on representations of academic misconduct, diminished capability, and responsibility in university texts, as well as writing difficulties, efficiency, and future development in commercial advertisements. It also considers how institutional positions shape student identities and legitimize particular forms of technology use.
文章引用：班亚凯. 趋近化视域下生成式人工智能教育话语的风险与价值建构：高校学术规范文本与AI写作工具广告的对比研究[J]. 现代语言学, 2026, 14(9): 287-293. https://doi.org/10.12677/ml.2026.149925

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