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AI-Empowered Optimization Paths and Institutional Guarantee for "Dual-Qualified" Teacher Teams in Vocational Education under the Background of New Quality Productivity

Author(s)

Xiaojun Yang1, Wenbo Yang2,*

Affiliation(s)

1School of Foreign Languages, Guangzhou Institute of Science and Technology, Guangzhou, Guangdong, China 2Graduate Studies in Business, College of Business Administration and Accountancy, De La Salle University-Dasmarinas, Dasmarinas, Philippines *Corresponding Author

Abstract

Aiming at the practical dilemmas of AI-Empowered construction of "dual-qualified" teacher teams in vocational education under New Quality Productivity (NQP), this study constructs an AI-Empowered three-dimensional competency model for dual-qualified teachers, and designs systematic optimization paths including school-enterprise intelligent collaboration mechanism, teachers’ AI digital transformation path, and intelligent evaluation incentive mechanism. On this basis, three innovative improvement paths are proposed: AI-driven dynamic development system of competency model, AI-Empowered "revolving door" talent flow mechanism, and blockchain-machine learning teacher digital twin certification system. The feasibility and effectiveness of the proposed paths are verified by the case of Huanggang Vocational College of Science and Technology, and an AI-Empowered institutional guarantee system (AI-PDCA cycle quality monitoring system, AI-oriented industry-education integration value-added evaluation system) is constructed. The research results show that the integrated application of AI, blockchain and digital twin technology can effectively solve the dilemmas of dual-qualified teacher team construction, realize the digital and intelligent transformation of teacher team construction, and provide operable technical paths and institutional support for the high-quality development of vocational education under NQP.

Keywords

New Quality Productivity; Dual-Qualified Teachers; AI-Empowered; Optimization Path; Institutional Guarantee

References

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