Construction and Research of the “Post-Course- Competition-Certificate” Teaching Ecosystem Driven by AI for Medical Majors in Higher Vocational Colleges

Xia Wang

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¹ Ikh ZASAG University in Mongolia, Ulaanbaatar 999097, Mongolia, China; Guizhou Urban Vocational College, Guiyang 550025, Guizhou, China,

IEF 2025 , 3(11), 57–63; https://doi.org/10.26689/ief.v3i11.13033

© 2025 by the Authors. Licensee Whioce Publishing, Singapore. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/ )

Abstract

Against the backdrop of the digital transformation of the medical and health industry and the reform of vocational education, medical majors in higher vocational colleges are in urgent need of innovation and reform to build a new teaching ecosystem. As an integrated talent training model in vocational education, the “Post-Course-Competition-Certificate” (PCCC) integration can achieve precise alignment between talent cultivation and industrial demands, fostering high-quality technical and skilled professionals. Based on this, relying on AI technology, this paper explores the construction path of an AI-driven PCCC teaching ecosystem for medical majors from two aspects: the adaptability between higher vocational medical majors and the PCCC model, and the importance of constructing the PCCC teaching ecosystem. The aim is to promote the innovation of teaching models for medical majors in higher vocational colleges and provide high-quality technical and skilled talent support for the digital development of the medical and health industry.

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