图书情报工作

图书情报工作 >

2025 , Vol. 69 >Issue 21: 142 - 153

DOI: https://doi.org/10.13266/j.issn.0252-3116.2025.21.012

研究论文

人工智能素养能力框架比较研究

  • 叶兰 ,
  • 周文琦 ,
  • 张谙宁 ,
  • 张倩 ,
  • 张欢庆
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  • 深圳大学图书馆 深圳 518060
叶兰，研究馆员，硕士；周文琦，馆员，硕士，通信作者，E-mail:qiancangsha@163.com；张谙宁，馆员，硕士；张倩，馆员，硕士；张欢庆，助理馆员，硕士。

收稿日期: 2024-10-25

  修回日期: 2025-02-12

  网络出版日期: 2025-11-11

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Comparative Research on Artificial Intelligence Literacy Frameworks

  • Ye Lan ,
  • Zhou Wenqi ,
  • Zhang Anning ,
  • Zhang Qian ,
  • Zhang Huanqing
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  • Shenzhen University Library, Shenzhen 518060
Ye Lan, Research Librarian, Master’s Degree; Zhou Wenqi, Librarian, Master’s Degree, Corresponding Author, E-mail: qiancangsha@163.com; Zhang Anning, Librarian, Master’s Degree; Zhang Qian, Librarian, Master’s Degree; Zhang Huanqing, Assistant Librarian, Master’s Degree.

Received date: 2024-10-25

  Revised date: 2025-02-12

  Online published: 2025-11-11

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摘要

[目的/意义] 能力框架是能力培养的基础与方向，研究人工智能素养（以下简称AI素养）能力框架可为图书馆等教育主体开展AI素养教育与培训提供重要指导作用。[方法/过程] 采用文献研究法、内容分析法及比较分析法，分析国内外22个AI素养能力框架的结构与内容，从构建主体、适用对象、建模理论、构建方法、能力维度与能力要素、能力等级、实践应用等方面对比分析已有AI素养能力框架。[结果/结论] 能力框架基于不同的理论模型与视角，提出不同的能力维度与能力要素。部分能力维度与能力要素正在逐步聚焦与稳定。AI知识、AI技能、AI伦理已成为构成AI素养能力框架较为稳定的能力维度与要素，而AI意识、AI态度、AI价值观、AI思维等维度还未形成统一性。部分能力框架逐步发展成为经典参考模型。已有框架仍存在一些不足之处，维度的全面性、指标的详细度、指标的专指度、框架的应用性还有待提高。基于已有能力框架呈现的主要特点及存在的不足，总结AI素养能力框架构建与应用的方法与措施，为图书馆等教育主体构建与应用人工智能素养能力框架提供参考。

关键词： 人工智能素养; AI素养; AI能力; 能力框架; 人工智能

本文引用格式

叶兰 , 周文琦 , 张谙宁 , 张倩 , 张欢庆 . 人工智能素养能力框架比较研究[J]. 图书情报工作, 2025 , 69(21) : 142 -153 . DOI: 10.13266/j.issn.0252-3116.2025.21.012

Abstract

[Purpose/Significance] Competence framework is the foundation of competence cultivation. Research on artificial intelligence literacy frameworks can offer guidance for educational institutions like libraries in carrying out AI literacy education and training. [Method/Process] Based on literature research, content analysis, and comparative analysis, this study examined the structure and content of 22 AI literacy frameworks. The study compared these frameworks in terms of creators, target audience, construction theories, construction methods, competence dimensions and elements, competency levels, and practical applications. [Result/Conclusion] The existing competency frameworks propose diverse competence dimensions and elements based on various theoretical models and perspectives. Some of the competence dimensions and elements are gradually becoming more focused and stable. AI knowledge, AI skills, and AI ethics have emerged as relatively stable competence dimensions and elements within the AI literacy frameworks, while AI awareness, AI attitudes, AI values, and AI thinking have not yet achieved a consensus. Several competence frameworks are evolving into classic models. However, existing frameworks still exhibit some shortcomings. The comprehensiveness of dimensions, detail of indicators, specificity of indicators, and applicability of frameworks still require enhancement. Based on the main characteristics and existing deficiencies of the current frameworks, this study summarizes methods and strategies for the construction and application of AI literacy frameworks.

Key words： artificial intelligence literacy; AI literacy; AI competency; competence framework; artificial intelligence

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