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教育AIGC核查的理论框架与技术路径研究

Research on the Theoretical and Technical Path of AIGC Checking in Education

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【作者】 孙发勤彭雨冯锐

【Author】 SUN Fa-Qin;PENG Yu;FENG Rui;School of Journalism and Communication,Yangzhou University;

【机构】 扬州大学新闻与传媒学院

【摘要】 随着人工智能生成内容(Artificial Intelligence Generated Content,AIGC)在教育领域的应用日益广泛,其内容的准确性、科学性、适配性、价值偏差和学术不端风险等问题日益凸显,阻碍了AIGC在教育领域的进一步发展。为此,文章借鉴新闻学中“事实核查”的理念,构建了以“立德树人”为核心,涵盖“安全无害”“真实可靠”“科学规范”“表达客观”“认知适宜”的五维度教育领域AIGC核查框架。该框架构建了由事实层、认知层和价值层组成的三层核查体系,不仅实现了对教育AIGC内容的全方位质量评估,还详细阐述了各层核查的具体目标、内涵及实施方法,并指出单纯事后核查存在局限性。文章不仅为构建可信的教育AIGC体系提供了坚实的理论支撑,更提出了包含可信数据源供给、透明度与可解释性增强、人工智能与人类教育价值观对齐的系统性实施路径。

【Abstract】 With the increasingly widespread applicaiton of artificial intelligence generated Content(AIGC) in the field of education, issues concerning the accuracy, scientificity, adaptiability, value deviation and academic misconduct risk of its content have become increasingly prominent, which hindered the further development of AIGC in the field of education. Therefore, drawing inspiration from the concept of “fact-checking” in journalism, this paper constructed a five-dimensional AIGC checking framework in the field of education with “moral education and talent cultivation” at its core, covering “safety and harmlessness”, “authenticity and reliability”, “scientific Rigor and standardization”, “objectivity in expression”, and “cognitive appropriateness”. This framework established a three-layer checking system composed of a factual layer, a cognitive layer, and a value layer, which not only realized a comprehensive quality assessment of AIGC-generated educational content but also elaborated on the specific objectives, connoations, and implementation methods for each checking layer, while also highlighting the limitations of relying solely on post-hoc checking. This research not only provided a solid theoretical foundation for constructing a trustworthy educational AIGC system, but also proposed a systematic implementation pathway encompassing the provision of credible data sources, enhanced transparency and interpretability, and alignment of artificial intelligence with human educational values.

【关键词】 AIGC内容核查可信AI事实核查
【Key words】 AIGCcontent-checkingtrustworthy AIfact checking
【基金】 江苏省高校人工智能通识教育教学改革研究专项课题“AI通识课程跨学科探究式教学模式构建与实践研究”(项目编号:2024AIGE56);江苏省社科基金年度项目“GenAI驱动的跨学科探究式教学:模式构建与实证研究”(项目编号:24JYB013)的阶段性研究成果
  • 【文献出处】 现代教育技术 ,Modern Educational Technology , 编辑部邮箱 ,2025年08期
  • 【分类号】G434;TP18
  • 【下载频次】164
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