基于数据驱动的美国高校学生事务预测分析管理

Research on the Predictive Analysis Management in American University Student Affairs Based on Big Data

基于数据驱动的高校学生事务预测分析管理是大数据时代美国高校学生事务领域进行科学化管理的重要实践。当今美国高校学生事务预测分析管理的发展已日渐成熟,且具有较完整的数据收集模型、典型的组织结构和工作流程,其实施的关键要素包括以数据为基础的决策文化、完善的院校研究机构、良好的跨部门合作、实施有效的早期预警项目。在未来的发展中,美国高校学生事务预测分析管理将致力于满足学生的个性化需要,保障数据口径的统一性,进一步关注和尊重学生的隐私。这些实践活动可为我国高校在大数据环境下进行学生事务工作的管理创新提供有益借鉴。

The predictive analysis management in American university student affairs based on data-driven is the important practice of scientific management in the era of big data. Now, the development of management upon predictive analysis in American university student affairs have become more mature, with a complete data collection model, typical in- stitutional structures and operation process. The key elements of implementation include the culture based on data decision-making, mature institutional research, the good cross-divi- sional partnerships, and the implementation of effective early alert project. In the future, the predictive analysis management in American university student affairs will be dedicated to meet the individual needs of students, guarantee the uniform of data caliber, follow and re- spect the privacy of students. In the era of big data, these activities provide a useful reference for practical innovation for China.