研究论文

高校图书馆AI赋能阅读推广的多元创新探索及场景化策略

  • 严丹 ,
  • 吕瑞娟 ,
  • 蔡迎春
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  • 上海外国语大学图书馆 上海 201620
严丹,学科与阅读支持中心副主任,研究馆员,博士;吕瑞娟,馆员,硕士,通信作者,E-mail:ruijuan2014@163.com;蔡迎春,馆长,研究馆员,博士。

收稿日期: 2024-12-20

  修回日期: 2025-03-17

  网络出版日期: 2026-02-12

Diverse Innovation Exploration and Scenario-based Strategies of AI-enabled Reading Promotion in University Libraries

  • Yan Dan ,
  • Lü Ruijuan ,
  • Cai Yingchun
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  • Shanghai International Studies University Library, Shanghai 201620

Received date: 2024-12-20

  Revised date: 2025-03-17

  Online published: 2026-02-12

摘要

[目的/意义]随着AI的迅猛发展,高校图书馆以AI为主题开展了丰富的阅读推广活动,探索AI赋能阅读推广的多元创新路径。[方法/过程]以我国高校图书馆作为主要调研对象,调研收集图书馆主页、微信公众号的信息,进行汇总和分析,结果显示当前主要的活动形式包括:以AI主题贯穿读书文化节,用立体活动形式聚焦AI;围绕AI举办书展和讲座,拓展关于AI认知与发展;以AI智能阅读创新阅读方式,以AI工具助力学习研究;将AI应用融入阅读服务系统,以AI助手推进图书馆智慧化等。[结果/结论]总结我国高校图书馆在AI赋能阅读推广方面的创新经验与不足,从教育、服务、业务三个场景提出数智时代AI赋能阅读推广的场景化策略,展望未来发展路径。

本文引用格式

严丹 , 吕瑞娟 , 蔡迎春 . 高校图书馆AI赋能阅读推广的多元创新探索及场景化策略[J]. 图书情报工作, 2026 , 70(4) : 128 -138 . DOI: 10.13266/j.issn.0252-3116.2026.04.010

Abstract

[Purpose/Significance] With the rapid development of artificial intelligence (AI), university libraries have initiated a variety of reading promotion activities centered around AI, exploring diverse innovative approaches for enhancing reading engagement. [Method/Process] This study focused on domestic university libraries as the primary research objects. It collected and analyzed information from library websites and WeChat official accounts. It summarized the key current activity formats as follows: integrating AI themes into reading and cultural festivals, utilizing three-dimensional activity formats to focus on AI; organizing book exhibitions and lectures focused on AI to broaden knowledge and understanding of its development; innovating reading methods through AI-assisted reading; and incorporating AI tools to aid in learning and research. Additionally, libraries were embedding AI applications into their reading service systems to promote the intelligent advancement of library services through AI assistants, among other initiatives. [Result/Conclusion] This study summarizes the innovative experiences and shortcomings of domestic university libraries in AI-empowered reading promotion activities. It proposes scenario-based strategies for AI-driven reading promotion in the digital intelligence era, that is, for educational scenarios, integrating education into reading to help improve AI literacy; for service scenarios, AI empowers reading services and foster the intelligent development of libraries; for business scenarios, AI empowers reading promotion efforts and improve work efficiency. The paper also discusses the prospects for future development of AI in reading promotion.

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