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WAREHOUSING AND MINING OF HIGHER EDUCATION DATA BY MEANS OF STATISTICAL PROCESS CONTROL

机译:通过统计过程控制仓储和挖掘高等教育数据

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Data warehouses are constructed at higher education institutions (HEI) using data from transactional systems such as the student information system (SIS), the learning management system (LMS), the learning content management system (LCMS) as well as certain enterprise resource planning (ERP) modules. The most common HEI data mining applications are directed towards customer relationship management (CRM) and quality management. When students are viewed as material in manufacturing process, instead of the customer, different meaningful correlations, patterns and trends can be discovered which otherwise would have remained unexploited. As example statistical process control (SPC) - as data mining tool - is applied to student result data. This may eliminate the need to gather student-customer feedback for quality control purposes.
机译:数据仓库在高等教育机构(Hei)中建造的,使用事务系统(SIS),学习管理系统(LMS),学习内容管理系统(LCMS)以及某些企业资源规划( ERP)模块。最常见的HEI数据挖掘应用程序是针对客户关系管理(CRM)和质量管理的。当学生被视为制造过程中的材料时,不能发现不同的有意义的相关性,模式和趋势,否则仍然是未爆发的。作为示例统计过程控制(SPC) - 作为数据挖掘工具 - 应用于学生结果数据。这可能会消除收集学生客户反馈的必要性以获得质量控制目的。

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