Authors:
Liezl van Dyk
and
Pieter Conradie
Affiliation:
University of Pretoria, South Africa
Keyword(s):
Higher education institution, Data warehousing, Data mining, Statistical process control.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Biomedical Engineering
;
Business Analytics
;
Data Engineering
;
Data Mining
;
Databases and Information Systems Integration
;
Datamining
;
Enterprise Information Systems
;
Health Information Systems
;
Sensor Networks
;
Signal Processing
;
Soft Computing
Abstract:
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.