This paper proposes a new framework for museum vocational education using AI tools, highlighting competency cultivation and systems design.
As artificial-intelligence technologies penetrate every facet of cultural-heritage preservation and dissemination, museums are redefining not only their public identity but also the very structure of the professional education that sustains them. At the vocational-education level, the urgent question is how to integrate AI tools organically with the knowledge domains of museum-related occupations. Focusing on the reshaping of museum vocational education, this paper proposes a future-oriented training framework anchored in four dimensions—creative education, technical practicum, competency cultivation, and systems design—and demonstrates its feasibility.
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Rui Huang (2025) studied this question.
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