社会符号学视域下用户的跨模态AI交互行为及多模态素养教育研究

• 作者： 李晓蔚 ¹ 张又雄 ²
• 作者单位：
  1.  四川大学图书馆-学习支持中心

  2.  四川大学机关党委-办公室
• 发布时间：2025-02-20

摘要: 摘　要：[目的/意义]跨模态是生成式人工智能的关键属性之一。本研究通过社会符号学的视角对用户与AI的跨模态交互行为过程进行微观分析，揭示在AI素养教育框架下用户多模态素养教育的必要性与紧迫性。[方法/过程]本研究采用混合方法研究，通过问卷调查、参与式观察以及用户与AI交互文本的分析共同揭示出文学素养、美学素养等其他素养在用户与AI的跨模态交互中的重要地位。[结果/结论]本研究有以下三个重要结论：（1）应从多模态理解能力、跨模态转换能力、多模态创作能力、多模态判断能力四个方面深化当前AI素养教育的框架与内涵；（2）用户与AI的交互呈现出“跨界素养”的特点，用户与AI的创造性交互需要依赖更加广泛而互涉的素养集；（3）AI素养教育范式应当从“技能培训者”转向“素养架构师”，未来图书馆的核心竞争力将体现在多元素养融合的教育能力上。

Abstract: Abstract: [Purpose/significance]Cross-modality is one of the key attributes of generative artificial intelligence. This study employs a sociosemiotic perspective to conduct a micro-analysis of user-AI cross-modal interaction processes, revealing the necessity and urgency of multimodal literacy education for users within the framework of AI literacy education. [Method/process]This study adopts a mixed methods research, using questionnaires, participatory observation, and analysis of user-AI interaction texts to collectively demonstrate the significant roles of literary literacy, aesthetic literacy, and other types of literacy in user-AI cross-modal interactions. [Result/conclusion] This study reaches the following three important conclusions: (1) The current framework and content of AI literacy education should be deepened from four aspects: multimodal comprehension ability, cross-modal transformation ability, multimodal creation ability, and multimodal judgment ability. (2) User-AI interactions exhibit the characteristic of ‘Transliteracy’, and creative interactions between users and AI require a broader and more interrelated set of literacy. (3) The paradigm of AI literacy education should shift from ‘skills trainer’ to ‘literacy architect’. Thus the core competitiveness of future libraries will be reflected in the ability to integrate multiple types of literacy in educational practices.

• 来自： 李晓蔚
• 分类： 信息资源管理
• 稿件状态： 已投稿期刊
• 引用： PSSXiv:202502.01077 (或此版本 PSSXiv:202502.01077V1)
  DOI:10.12451/202502.01077
  CSTR:32012.36.PSSXiv.202502.01077
• 推荐引用方式： 李晓蔚,张又雄.社会符号学视域下用户的跨模态AI交互行为及多模态素养教育研究.哲学社会科学预印本平台:https://zsyyb.cn/abs/202502.01077.[PSSXiv:202502.01077V1] (点此复制)