高校图书馆人工智能素养教育路径研究——基于微博文本的实证分析

Exploring Educational Pathways for AI Literacy in Academic Libraries—An Empirical Analysis Based on Weibo Texts

摘要: 数字时代，人工智能技术(AI)既给学术研究与教学带来了极大的便利性也诱发了一定的风险，在高等教育中培养人工智能素养愈发关键。本研究基于扎根理论，通过质性分析软件Nvivo.15编码分析微博文本内容，旨在为高校图书馆优化人工智能素养教育路径提供指导和参考。研究发现，高校图书馆可从以下方面开展人工智能素养培养：明确AI时代核心能力、构建多元化教学实践框架、提升图书馆员服务能力以及加强学术伦理与风险教育，从而支持AI生态下的跨学科人才培养。

Abstract: In the digital era, Artificial Intelligence (AI) technology has brought great convenience to academic research and teaching, but it has also posed certain risks. Cultivating AI literacy in higher education has become increasingly crucial. This study is based on grounded theory and employs qualitative analysis software Nvivo.15 for coding, analyzing Weibo text content, aiming to provide guidance and reference for optimizing AI literacy education paths in academic libraries. The research finds that academic libraries can focus on the following aspects to develop AI literacy: defining core competencies in the AI era, constructing a diversified teaching practice framework, enhancing librarians’ service capabilities, and strengthening education on academic ethics and risks, thereby supporting the cultivation of interdisciplinary talents in the AI ecosystem.