大数据背景下工程管理专业产教融合创新研究

Innovative Research on Industry-Education Integration in Engineering Management under the Big Data Context

摘要: 随着大数据技术的快速发展，其在工程建设领域和高等教育中的应用愈发广泛，对工程管理专业的人才培养模式和产教融合机制提出了新的要求。文章以大数据背景为切入点，系统分析了工程管理专业教育与产业需求的契合度，探讨了大数据对工程管理学科发展的深远影响。研究首先梳理了产教融合的理论基础和政策导向，总结了大数据在课程建设、实践教学、科研合作和职业能力培养等方面的应用路径。研究提出，应构建以大数据赋能为核心的产教融合创新模式，推动课程体系数字化升级，强化校企联合实验平台建设，促进多元化协同育人机制形成。最后，文章总结了大数据背景下产教融合面临的挑战与发展趋势，强调需在政策支持、技术手段和人才战略三方面协同发力，以实现工程管理专业教育与产业发展的深度融合。研究结论对提升工程管理专业的人才培养质量、促进教育现代化与产业转型升级具有积极意义。

Abstract: With the rapid development of big data technology, its application in the engineering construction field and higher education has become increasingly widespread, posing new requirements for the talent training mode of engineering management specialties and the mechanism of industry-education integration. This paper takes the big data context as a starting point, systematically analyzes the alignment between engineering management education and industrial demands, and explores the profound impact of big data on the development of the engineering management discipline. The research first reviews the theoretical basis and policy orientation of industry-education integration, summarizing the application paths of big data in areas such as curriculum development, practical teaching, scientific research collaboration, and professional competency cultivation. The study proposes that an innovative model of industry-education integration, centered on big data empowerment, should be constructed to promote the digital upgrading of the curriculum system, strengthen the construction of joint university-enterprise experimental platforms, and foster the formation of a diversified collaborative education mechanism. Finally, this paper summarizes the challenges and development trends of industry-education integration in the context of big data, emphasizing the need for coordinated efforts in policy support, technological means, and talent strategy to achieve deep integration between professional education in engineering management and industrial development. The research conclusions hold positive significance for enhancing the quality of talent cultivation in engineering management specialties and promoting the modernization of education and industrial transformation and upgrading.