人工智能时代应用型本科高校人力资源管理专业教学内容优化与人才培养模式适配研究

Research on Teaching Content Optimization and Talent Cultivation Model Adaptation for Human Resource Management Majors in Application-Oriented Undergraduate Institutions amid the Era of AI

摘要: 人工智能技术的迅猛发展深刻重塑了人力资源管理的行业生态。传统上依赖大量人工完成的简历筛选、薪酬核算、绩效评价等工作，正逐步被智能化系统所替代。这对应用型本科高校人力资源管理专业的人才培养提出了现实挑战。当前部分高校课程体系陈旧、实践教学资源匮乏、校企深度合作机制尚未有效建立。本研究采用文献研究法与政策分析法，以应用型本科高校为研究对象，构建了“AI时代HRM人才能力三维框架”(专业知识层–技术应用层–战略融合层)，系统诊断当前教学内容与人才培养模式中的结构性问题，深入剖析其制度性根源，进而提出具有可操作性的优化策略，以期为应用型本科高校推进智能化转型提供理论参考与实践指引。

Abstract: With the rapid development of artificial intelligence technology, human resource management is undergoing a profound transformation from traditional transactional management to intelligent strategic management, which has put forward new requirements for talent cultivation in human resource management majors at application-oriented undergraduate colleges. Unlike academic universities, application-oriented undergraduate colleges are committed to cultivating high-quality applied talents oriented to industrial frontlines. However, in current curriculum design and talent training practice, there are still prominent problems, such as lagging course content behind industrial needs, scarce practical teaching resources, and superficial school-enterprise cooperation. This paper adopts the methods of literature research and policy analysis, taking application-oriented undergraduate colleges as the research object, and constructs a “Three-Dimensional Framework for HRM Talent Competencies in the AI Era” (Professional Knowledge Layer - Technical Application Layer - Strategic Integration Layer) as the core analytical tool running through the whole paper. It systematically diagnoses the main problems and institutional roots existing in curriculum system, teaching methods, evaluation mechanisms, and industry-education collaboration of human resource management majors at application-oriented undergraduate colleges, and proposes operable teaching content optimization paths and talent training model adaptation strategies, aiming to provide theoretical reference and practical guidance for application-oriented undergraduate colleges to better meet the intelligent era and improve talent training quality.