教育大数据对推进教育向因材施教、个性化学习的目标高速迈进意义重大，隐私泄露问题严重阻碍了其优势的充分发挥。第一，通过追踪国内外最新研究进展，从教育大数据流动的信息生命周期视角切入，构建教育大数据隐私安全模型，揭示教育大数据隐私安全保护的核心要素及其因果关系；第二，构建教育大数据隐私泄露风险评估体系，对数据隐私泄露所面临的风险进行分析、评估和预测，主动规避隐私泄露风险，防患于未然；第三，设计教育大数据隐私泄露风险追溯消解机制，追踪捕捉大数据信息生命周期内各阶段违规行为，并及时进行问责和问题消解，查漏补缺，将隐私泄露风险的控制由事后被动响应变为事前主动预防；第四，在此基础上，建立教育大数据隐私泄露风险管理框架，为保障教育大数据实践应用的安全性提供应对思路和整体性解决方案。项目成果可以广泛应用于学校教育、在线学习、教育信息化建设等领域，具有重要的理论价值和开阔的应用前景。

Educational big data is of great significance to promote the education to move towards differentiated instruction and personalized learning. However, the privacy problems seriously hinder the full play of these advantages. By following the educational big data and privacy protection research progress home and abroad, the project uses the perspective of educational big data flow information lifecycle, to set up a privacy security model, which reveals the key elements and logic relations of the protection scheme. Then, the project constructs an educational big data privacy disclosure risk assessment system, which can analyze, assess and predict the data privacy disclosure risk, and help to take active measures previously. By using the provenance based resolution mechanism to capture irregularities in each information lifecycle stage, the project can take accountabilities and resolution measures timely. Based on studies above, an educational big data privacy disclosure risk management framework is constructed to provide the countermeasures and integrated solutions for ensuring the safety in educational big data application practice. Novelty search shows that, the similar research has not been reported home and abroad. The project achievements can be widely applied in school based education, e-learning, education informationlization and other fields. Therefore, the project has an important theoretical value and large prospect in application.