DOI: 10.66106/yanjai.20250203 ISSN: 3081-1449

人工智能赋能高职院校职称评审数字化转型路径研究（Research on the Digital Transformation Path of Professional Title Evaluation in Higher Vocational Colleges Empowered by Artificial Intelligence）

金芫 Yan Jin
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Abstract: Against the backdrop of the national strategy for digital transformation in education, the professional title evaluation system in higher vocational colleges, which relies on traditional offline methods, is facing severe challenges. The current process involves extensive submission of paper materials, manual review, and multiple rounds of back-and-forth communication, leading to inefficiency, lack of transparency, and difficulties in data statistics. The absence of an integrated online evaluation platform hinders the meeting of faculty demands for convenient, fair, and just evaluation services and is misaligned with the institution's overall digital transformation strategy. This study, driven by artificial intelligence (AI) technology, conducts an in-depth analysis of the pain points in the traditional evaluation model and systematically constructs a comprehensive digital transformation solution from top-level design to functional implementation. It innovatively proposes a three-layer empowerment framework of "unified data middle platform, intelligent engine drive, and business process reengineering," and elaborates on three core implementation paths: intelligent data collection and governance, process automation and intelligent decision-making, and the unification and optimization of the evaluation system. Furthermore, the study prospectively plans a series of advanced functions that the platform can develop based on AI technology, including intelligent material review, teacher competency profiling, evaluation risk early warning, human-machine collaborative decision-making, and dynamic feedback optimization. The aim is to create a new, intelligent, integrated, and self-adaptive ecosystem for professional title evaluation in higher vocational colleges. The research results not only provide an actionable solution for higher vocational colleges to address evaluation challenges but also offer significant theoretical and practical references for the digital transformation of human resource management in the context of modern educational governance.

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