协同治理视角下教育数据赋能高校教学质量提升的机制与路径研究

Research on the Mechanisms and Pathways of Education Data Empowering the Improvement of University Teaching Quality from the Perspective of Collaborative Governance

摘要: 在数字经济与教育现代化转型背景下，本研究构建了教育数据赋能高校教学质量提升的协同治理理论框架与实践路径。针对传统治理模式中管理碎片化、决策经验化、资源错配化等深层困境，提出“数据治理–协同决策–智能服务”三位一体机制：通过数据采集标准化、校级数据中台建设及隐私计算技术，构建教育数据要素流通底座；基于多元主体参与的分布式决策网络与动态监测系统，实现教学质量智能优化；依托教师数据素养认证、学生个性化学习激励及数据溯源问责机制，形成治理内生动力。研究证实，该体系可推动高校从“经验管理”向“数据治理”转型，显著提升资源配置效率与教学决策科学性。未来，需深化多模态数据融合、完善教育数据法治框架，并培育师生数字素养，以实现“因材施教”与“教育公平”的双赢局面，为高等教育质量提升提供系统性解决方案。

Abstract: In the context of the deep integration of the digital economy and knowledge economy, this study constructs a theoretical framework and practical pathway for education data empowering the improvement of teaching quality in universities. Addressing the deep-seated dilemmas of traditional governance models, such as fragmented management, experience-driven decision-making, and resource misallocation, it proposes a “data governance-collaborative decision-making-intelligent service” integrated mechanism. This framework establishes a foundation for the circulation of educational data elements through standardized data collection, the construction of a university-level data middleware platform, and privacy-preserving computing technologies. Based on a distributed decision-making network involving multiple stakeholders and a dynamic monitoring system, it realizes intelligent optimization of teaching quality. By relying on mechanisms such as teacher data literacy certification, student personalized learning incentives, and data traceability accountability, it forms an endogenous driving force for governance. The research confirms that this system can drive the transformation of universities from “experience-based management” to “data-driven governance,” significantly enhancing the efficiency of resource allocation and the scientific nature of teaching decisions. Looking forward, it is essential to deepen the integration of multimodal data, improve the legal framework for educational data governance, and cultivate the digital literacy of teachers and students to achieve a dual breakthrough in “large-scale personalized teaching” and “equitable education,” providing a systematic solution for the quality revolution in higher education.