数字化转型下大数据管理与应用专业教学体系创新研究

摘要

数字化转型背景下，大数据管理与应用专业教育体系正经历深刻重塑。通过对数据资产化、智能技术升级、产业实践变革等核心要素驱动作用进行解析，识别教学范式变革的核心动因，打造涵盖数据治理理论体系、智能分析技术体系、行业场景应用体系、创新创业实践体系的综合课程框架，设计了虚实结合实训平台、产教融合数据中台、智能化学习分析机制、多元协同治理模式等实施策略，进而提出虚实融合实验平台、产教数据中台、智能学习分析、多元主体共治的实施路径。此研究确立了理论引领前沿、技术侧重实操、应用依托项目、实践强调综合的系统性改革方案，为数字化时代复合型数据管理人才培养提供理论支撑与实践借鉴。

Abstract

Against the backdrop of digital transformation, the educational system for the major of Big Data Management and Application is undergoing profound reshaping. By analyzing the driving effects of core elements such as data assetization, intelligent technology upgrades, and industrial practice reforms, this study identifies the key drivers of pedagogical paradigm shifts. It constructs a comprehensive curriculum framework encompassing data governance theory, intelligent analysis technology, industry scenario applications, and innovation-driven practice systems. Implementation strategies include virtual-real integrated training platforms, industry-education converged data hubs, intelligent learning analytics mechanisms, and diversified collaborative governance models. Consequently, it proposes implementation pathways featuring virtual-real experimental platforms, industry-education data hubs, intelligent learning analytics, and multi-stakeholder co-governance. This research establishes a systematic reform plan characterized by theory-leading frontiers, technology-focused practicality, application-project reliance, and practice-emphasized comprehensiveness, providing theoretical support and practical reference for cultivating interdisciplinary data management talents in the digital era.