生成式人工智能赋能博物馆教育的现状、挑战及对策OA
Generative AI Empowering Museum Education:Practices,Challenges and Prospects
随着以大语言模型与多模态为核心的生成式人工智能快速迭代,教育系统已有响应并向公共文化教育领域扩散.作为"第三课堂"的博物馆教育强调情境性、具身性与互动性,与生成式人工智能在多模态生成、个性化与自适应、对话式交互以及可编排与可扩展等方面的能力高度契合,释放出新的实践机遇.本文采用文献梳理与案例分析相结合的方法,从技术特征、契合机理与国内外应用展开考察,讨论生成式人工智能赋能博物馆教育的实践现状、现实挑战与优化对策.
As generative artificial intelligence centered on large language models and multimodality rapidly iterates,the education system has been among the first to respond and is extending into the realm of public cultural education.As the"third classroom",museum education emphasizes contextual,embodied,and interactive learning,which aligns closely with GenAI's capabilities in multimodal generation,personalization and adaptivity,conversational interaction,and orchestration and scalability,thereby opening up new avenues for practice.Combining literature review with case analysis,this paper examines technical features,alignment mechanisms,and applications in China and abroad,and systematically discusses the status,challenges,and prospects of GenAI empowering museum education.
杨婉丽
故宫博物院
博物馆博物馆教育生成式人工智能
museummuseum educationGenAI
《科学教育与博物馆》 2026 (2)
78-87,10
本文系故宫博物院"文华学者"计划成果.
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