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

Liezl van Dyk, Pieter Conradie

2004

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.

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Paper Citation


in Harvard Style

van Dyk L. and Conradie P. (2004). WAREHOUSING AND MINING OF HIGHER EDUCATION DATA BY MEANS OF STATISTICAL PROCESS CONTROL . In Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 972-8865-00-7, pages 110-115. DOI: 10.5220/0002621801100115

in Bibtex Style

@conference{iceis04,
author={Liezl van Dyk and Pieter Conradie},
title={WAREHOUSING AND MINING OF HIGHER EDUCATION DATA BY MEANS OF STATISTICAL PROCESS CONTROL},
booktitle={Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2004},
pages={110-115},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002621801100115},
isbn={972-8865-00-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - WAREHOUSING AND MINING OF HIGHER EDUCATION DATA BY MEANS OF STATISTICAL PROCESS CONTROL
SN - 972-8865-00-7
AU - van Dyk L.
AU - Conradie P.
PY - 2004
SP - 110
EP - 115
DO - 10.5220/0002621801100115