Artificial Intelligence, and especially Large Language Models (LLMs), such as ChatGPT, Gemini, Copilot and others in the field, has revolutionized education along with other domains. This study explores the way educators can harness the capabilities of LLMs to enhance cultural heritage education. Through an exploratory approach, this paper examines areas that LLMs can be leveraged, such as personalized learning, interactive storytelling, content creation, enhanced accessibility, engagement in museums and exhibitions and promoting awareness of intangible heritage. These applications unveil how LLMs can adapt heritage narratives to different audiences, create educational content tailored to students’ learning style, create scenarios where users can explore historical events or heritage sites and describe artifacts with sensory details promoting learning to students with visual impairments. This study, also, highlights the importance of human – LLMs collaboration to ensure the responsible integration of AI in cultural heritage education avoiding the replacement of human expertise and offers actionable insights to educators, institutions and policy makers to bridge the gap between technology and heritage learning.

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Exploring the Use of LLMs as Educational Tools in Cultural Heritage Education

  • Dimitrios Gousopoulos,
  • George Petrakos

摘要

Artificial Intelligence, and especially Large Language Models (LLMs), such as ChatGPT, Gemini, Copilot and others in the field, has revolutionized education along with other domains. This study explores the way educators can harness the capabilities of LLMs to enhance cultural heritage education. Through an exploratory approach, this paper examines areas that LLMs can be leveraged, such as personalized learning, interactive storytelling, content creation, enhanced accessibility, engagement in museums and exhibitions and promoting awareness of intangible heritage. These applications unveil how LLMs can adapt heritage narratives to different audiences, create educational content tailored to students’ learning style, create scenarios where users can explore historical events or heritage sites and describe artifacts with sensory details promoting learning to students with visual impairments. This study, also, highlights the importance of human – LLMs collaboration to ensure the responsible integration of AI in cultural heritage education avoiding the replacement of human expertise and offers actionable insights to educators, institutions and policy makers to bridge the gap between technology and heritage learning.