Research on the innovation of the meta-universe vocational talent training model from the perspective of resource dependence theory

Lejun Lu

Elect Elect Eng Res ›› 2023, Vol. 3 ›› Issue (1) : 111 -122.

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Elect Elect Eng Res ›› 2023, Vol. 3 ›› Issue (1) :111 -122. DOI: 10.37420/j.eeer.2023.008
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Research on the innovation of the meta-universe vocational talent training model from the perspective of resource dependence theory
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Abstract

With the proposal of "accelerating digital development and building digital China", China is doing its best to lay out the transformation and upgrading of education digitization and intelligence. The rapid development of frontier technology has promoted the change of industry-education integration in vocational education. Combining with the background of the meta-universe era, we introduce resource dependency theory to analyze the relationship between society, universities, and government in talent training mode. The frontier technologies such as virtual reality, artificial intelligence, big data, digital twin, etc. are used to explore the integration model and opportunities of vocational education industry-education integration, while innovative descriptions and creative imaginations are made for the future talent cultivation model of metaverse vocational education industry-education integration. Based on the resource dependency theory, the relationship between the metaverse and the integration of industry and education in vocational education is revealed based on "how to cultivate cross-border talents in the metaverse". There are more possibilities for classroom teaching in vocational education supported by new equipment and cutting-edge technology, which is important for innovative ways of talent cultivation, exploring new modes of talent cultivation, and establishing strategic layouts of talent cultivation.

Keywords

Metaverse / Vocational education / Talent training / Industry-education integration

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Lejun Lu. Research on the innovation of the meta-universe vocational talent training model from the perspective of resource dependence theory. Elect Elect Eng Res, 2023, 3(1): 111-122 DOI:10.37420/j.eeer.2023.008

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