RESEARCH PAPERS

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).

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.

Cite this article

Le Chengyi , Kong Weiwei . Research on the Formation and Evolution of Artificial Intelligence Literacy in the Context of AIGC[J]. Library and Information Service, 2026 , 70(7) : 48 -62 . DOI: 10.13266/j.issn.0252-3116.2026.07.004

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