图书情报工作

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2026 , Vol. 70 >Issue 7: 48 - 62

DOI: https://doi.org/10.13266/j.issn.0252-3116.2026.07.004

研究论文

AIGC背景下人工智能素养的形成机理与演进路径研究

  • 乐承毅 ,
  • 孔维伟
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  • 1 宁波大学商学院 宁波 315211;
    2 宁波大学“商帮经济与文化”智能计算实验室 宁波 315211;
    3 华东交通大学经济管理学院 南昌 330013;
    4 武汉大学信息管理学院 武汉 430072
乐承毅,教授,博士,博士生导师;孔维伟,博士研究生,通信作者,E-mail:kongweiwei1228@163.com。

收稿日期: 2025-01-15

  修回日期: 2025-05-26

  网络出版日期: 2026-03-31

基金资助

本文系国家社会科学基金项目“智慧图书馆人智交互体验度量与优化研究”（项目编号：24BTQ012）研究成果之一。

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Research on the Formation and Evolution of Artificial Intelligence Literacy in the Context of AIGC

  • Le Chengyi ,
  • Kong Weiwei
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  • 1 Business School of Ningbo University, Ningbo 315211;
    2 Merchants' Guild Economics and Cultural Intelligent Computing Laboratory of Ningbo University, Ningbo 315211;
    3 School of Economics and Management, East China Jiaotong University, Nanchang 330013;
    4 School of Information Management, Wuhan University, Wuhan 430072
Shen Wang, Professor, PhD, Doctoral Supervisor, E-mail: shenwang_001@163.com; Sun Ke, Master’s Candidate; Ma Ruolin, Master’s Candidate; Li Xin, Master’s Candidate; Bian Wei, Associate Research Fellow, Master’s Degree.

Received date: 2025-01-15

  Revised date: 2025-05-26

  Online published: 2026-03-31

Supported by

This work is supported by the National Social Science Foundation of China project titled “Research on Measurement and Optimization of Human-Intelligent Interactive Experience in Intelligent Library” (Grant No. 24BTQ012).

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摘要

[目的/意义] 厘清AIGC背景下用户AI素养的形成机理，探讨不同适应结构下AI素养的演进路径及特征，为AIGC用户AI素养培育工作提供理论依据。[方法/过程] 对20个访谈文本和3个网络平台上AI大模型相关话题的572份二手资料的混合数据进行扎根分析，构建AIGC用户AI素养的形成机理与演进路径模型。[结果/结论] AI素养的形成和发展并非线型，用户受科技特征、任务特征和个人特征等输入性因素共同影响，在瞬态性结构的驱动下，技术与任务的适配结构不断优化，从最初的意识与感知阶段，经过探索与实践阶段、理解与评估阶段，最后达到与AI工具的合作与共创，在动态循环中实现螺旋式上升。研究揭示了AI素养适应性形成机理与演进路径，扩展了个体适应性结构化理论框架，为理解AI素养的多维动态性提供新洞见，并为AI素养培育工作和技术平台功能设计提供有益启示。

关键词： 人工智能素养; AIGC; 瞬态性结构; 技术任务适配; 个体适应性结构化理论

本文引用格式

乐承毅 , 孔维伟 . AIGC背景下人工智能素养的形成机理与演进路径研究[J]. 图书情报工作, 2026 , 70(7) : 48 -62 . DOI: 10.13266/j.issn.0252-3116.2026.07.004

Abstract

[Purpose/Significance] This study aims to clarify the formation of user artificial intelligence literacy (AI literacy) in the context of AIGC, explore the evolution and characteristics of AI literacy under different adaptive structures, and provide theoretical support for cultivating AI literacy among AIGC users. [Result/Conclusion] This paper conducted a grounded theory analysis on mixed data, including 20 interview transcripts and 572 pieces of secondary data related to AI large models from three online platforms. Based on this, it constructed a model of the formation and evolution of AI literacy among AIGC users. [Result/Conclusion] The formation and development of AI literacy are non-linear processes. Users are influenced by input factors such as technological features, task characteristics, and personal traits. Driven by transient structures, the adaptive configuration between technology and tasks is continuously optimized. This process progresses through four stages: the initial stage of awareness and perception, the exploratory stage of practice, the deepening stage of understanding and evaluation, and the advanced stage of collaboration and co-creation with AI tools, ultimately achieving a spiral upward evolution in a dynamic cycle. This study reveals the adaptive formation and evolution of AI literacy, expanding the theoretical framework of adaptive structuration theory for individuals (ASTI). It provides new insights into understanding the multidimensional and dynamic nature of AI literacy and offers practical implications for its cultivation and the functional design of technology platforms.

Key words： AI literacy; AIGC; transient structures; technology-task alignment; ASTI

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