生成式人工智能赋能高校校史编研的路径分析

档案工作理论与实践                                                                                                       2026 年第 1 期

Archives Work: Theory and Practice                                                                                       总第 1 期




生成式人工智能赋能高校校史编研的路径分析


董思思

(海口经济学院,海口 571132) 

【摘要】文章运用案例分析法,阐释了生成式人工智能赋能高校校史编研的多元价值。通过对三所代表性高等院校的应用实践剖析,提炼了生成式人工智能在高校校史编研工作中应用的具体路径,包括: 构建校史特色数据库和知识图谱、打造人机协同校史编研体系、培育校史编研人员数字化能力、健全校史编纂质控评估体系四大维度。

【关键词】生成式人工智能;校史编研;档案数字资源;知识图谱

【作者简介】董思思,海口经济学院档案馆,助理馆员,邮箱:21031329@qq.com,研究方向为高校档案管理。



Path analysis of empowering university history compilation and research with generative artificial intelligence 


DONG Sisi 

(Haikou University of Economics, Haikou 571132) 

Abstract: This article uses case analysis to illustrate the diverse value of generative artificial intelligence in empowering the compilation and research of university history. Through the analysis of the application practices of three representative higher education institutions, specific paths for the application of generative artificial intelligence in the compilation and research of university history have been extracted, including four dimensions: building a large database and knowledge graph of university history, creating a human-machine collaborative system for university history compilation and research, cultivating the digital ability of university history compilation and research personnel, and improving the quality control evaluation system for university history compilation

Keywords: generative artificial intelligence; Compilation and research of school history; Archive digital resources; knowledge graph

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