教育数据不出域的智能治理框架与跨域流通应用实证研究OA
Intelligent governance framework and empirical research on educational data:balancing cross-domain circulation and on-premise security
针对敏感数据在一体化市场中的跨域流通与安全平衡难题,推导出一套通用的"双重跨域"治理模式,并在教育数据上开展实证研究.首先,在项目间维度上,设计基于LLM与few-shot提示工程的动态审计模块,通过对技术文档的智能化分析,实现治理经验与合规逻辑的跨项目复用,确保原始隐私文档不出域.其次,在项目内维度上,构建"信任、能力、效能"递进式指标体系,量化评估多主体间的数据配置效率与安全水平.实证结果显示,提出的教育数据治理框架能有效识别项目全生命周期中的合规风险点,显著提升治理效能.该框架为敏感数据跨域流通提供了"经验可复用、数据不出域"的智能化监管路径.
To address the dilemma of balancing cross-domain circulation and security protection for sensitive educational data within an integrated data market,this paper proposes an intelligent governance framework characterized by a"dual-domain"perspective.First,on an inter-project dimension,an innovative dynamic auditing module based on large language model(LLM)and few-shot prompt engineering is designed.By performing intelligent analysis of technical documentation,the module enables the cross-project reuse of governance experience and compliance logic,ensuring that original privacy documents remain within their respective domains.Second,on an intra-project dimension,a progressive"trust,capability,and effectiveness"(TCE)indicator system is constructed to quantitatively evaluate data allocation efficiency and security levels among multiple stakeholders.Empirical results demonstrate that the framework effectively identifies compliance risks throughout the project lifecycle and significantly enhances governance performance.This framework provides a deployable,intelligent regulatory pathway for the cross-domain circulation of sensitive data,achieving the goal of"reusable experience with data remaining on-premise".
罗屿冰
上海市大数据中心,上海 200003
社会科学
全国一体化数据市场数据跨域流通数据不出域大语言模型TCE评价模型
national integrated data marketcross-domain data circulationdata on-premiselarge language modelTCE evaluation model
《大数据》 2026 (3)
16-29,14
评论