Knowledge Map Analysis of Research on Talent Training Models for Industry-Education Integration Based on CiteSpace

本研究基于CiteSpace软件，通过文献计量与知识图谱方法对产教融合人才培养模式领域进行系统梳理与可视化分析。文章构建了关键词共现网络、作者与机构合作网络，并利用时间线图谱和突发词探测等多维度技术揭示了领域内主要研究主题的历史演进及热点变化。研究结果显示，“产教融合”、“校企合作”、“职业教育”等高频关键词构成了领域的理论基石，而“人才培养模式”、“现代学徒制试点”等则反映出实践导向趋势。同时，聚类分析表明，本领域研究呈现出以应用型高校为代表的多层次知识结构，其研究主题由早期的理论体系逐步转向实践教学与评价机制的应用层面。本文不仅为学者深入理解产教融合人才培养模式的知识结构提供了直观依据，也为今后该领域跨学科、多主体协同创新研究提供了数据支撑与策略启示。This study leverages the CiteSpace software to systematically review and visualize the field of talent training models in industry-education integration using bibliometric and knowledge map methods. The paper constructs networks of keyword co-occurrence as well as author and institutional collaboration networks, and employs multidimensional techniques—including timeline mapping and burst detection—to reveal the historical evolution and emerging hotspots of major research themes in the field. The findings indicate that high-frequency keywords such as “industry-education integration,” “school-enterprise cooperation,” and “vocational education” constitute the theoretical foundation of the discipline, while terms like “talent training models” and “modern apprenticeship pilot” reflect a trend towards practice-oriented research. Furthermore, cluster analysis shows that the research in this field presents a multilayered knowledge structure characterized by applied universities, with themes gradually shifting from early theoretical frameworks to practical teaching and evaluation mechanisms. Overall, this paper not only provides scholars with clear insights into the knowledge structure underpinning talent training models in industry-education integration, but also offers data support and strategic inspiration for future interdisciplinary and multi-stakeholder collaborative innovation in this area.