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Article . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
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Digital Twin-Driven Industry-Education Integration Model: A Case Study of IC Packaging & Testing Training Course Development

Authors: Xiong Xiaoqian1*, Bao Le2;

Digital Twin-Driven Industry-Education Integration Model: A Case Study of IC Packaging & Testing Training Course Development

Abstract

The rapid digital transformation of the integrated circuit (IC) industry has intensified the structural mismatch between talent supply and demand. Digital twin (DT) technology, which enables bidirectional mapping between physical and digital spaces, offers a promising solution to three persistent problems in vocational training: difficult technology implementation, lack of teaching resources, and fragmented competency development. Based on the collaboration between Wuhan Vocational and Technical University and Boxin Semiconductor Technology Co., Ltd., this paper constructs a progressive “Technology–Scenario–Competency” cultivation system. Key components include a hierarchical competency development system, job competency map-based curriculum design, and modular training combining virtual and physical elements, supported by a dynamic resource updating mechanism. Results show that the DT-driven model shortens students’ job adaptation period significantly and enables rapid translation of industrial technologies into teaching content, providing a replicable paradigm for vocational education digital transformation.

Keywords

Digital twin; industry-education integration; integrated circuit; training teaching; vocational education

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average