大数据驱动的高等教育质量监测评估关键技术研究

Research on Big Data-Driven Key Technologies of Quality Monitoring Evaluation of Higher Education

作为我国教育评估新的实践形式,监测评估依赖数据驱动。高等教育质量监测评估的数据来源与特点决定了其大数据属性,必须用新的技术手段进行分析和处理。通过研究高等教育质量监测大数据的分布式文件存储技术、并行处理技术和数据挖掘技术,为实施大数据驱动的高等教育质量监测评估扫除了关键技术障碍,具有重要的理论指导与实际应用意义。

As a new practical form of educational evaluation in China, monitoring evaluation is based on data - driven. The sources and characteristics of high - education quality monitoring evaluation data determine the attributes of big data. So the data must be analyzed and processed with new technical tools. Based on the research of distributed file storage technology, parallel processing technology and data mining technology of high - education quality monitoring evaluation data, this paper solved the key technical prob- lem of data - driven - based high - education quality monitoring evaluation. It has important theoretical and practical significance.