Data Mining for Education Decision Support: A Review
Management of higher education must continue to evaluate on an ongoing basis in order to improve the quality of institutions. This will be able to do the necessary evaluation of various data, information, and knowledge of both internal and external institutions. They plan to use more efficiently the...
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Kassel University Press
2014-12-01
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Series: | International Journal of Emerging Technologies in Learning (iJET) |
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Online Access: | http://online-journals.org/index.php/i-jet/article/view/3950 |
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doaj-2cd48a305f774931b8e03dbcd02bd0522020-11-25T00:14:07ZengKassel University PressInternational Journal of Emerging Technologies in Learning (iJET)1863-03832014-12-019641910.3991/ijet.v9i6.39502195Data Mining for Education Decision Support: A ReviewSuhirman Suhirman0Tutut Herawan1Haruna Chiroma2Jasni Mohamad Zain3Universiti Malaysia PahangUniversity of MalayaUniversity of MalayaUniversiti Malaysia PahangManagement of higher education must continue to evaluate on an ongoing basis in order to improve the quality of institutions. This will be able to do the necessary evaluation of various data, information, and knowledge of both internal and external institutions. They plan to use more efficiently the collected data, develop tools so that to collect and direct management information, in order to support managerial decision making. The collected data could be utilized to evaluate quality, perform analyses and diagnoses, evaluate dependability to the standards and practices of curricula and syllabi, and suggest alternatives in decision processes. Data minings to support decision making are well suited methods to provide decision support in the education environments, by generating and presenting relevant information and knowledge towards quality improvement of education processes. In educational domain, this information is very useful since it can be used as a base for investigating and enhancing the current educational standards and managements. In this paper, a review on data mining for academic decision support in education field is presented. The details of this paper will review on recent data mining in educational field and outlines future researches in educational data mining.http://online-journals.org/index.php/i-jet/article/view/3950Data miningDecision makingEducationReview. |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Suhirman Suhirman Tutut Herawan Haruna Chiroma Jasni Mohamad Zain |
spellingShingle |
Suhirman Suhirman Tutut Herawan Haruna Chiroma Jasni Mohamad Zain Data Mining for Education Decision Support: A Review International Journal of Emerging Technologies in Learning (iJET) Data mining Decision making Education Review. |
author_facet |
Suhirman Suhirman Tutut Herawan Haruna Chiroma Jasni Mohamad Zain |
author_sort |
Suhirman Suhirman |
title |
Data Mining for Education Decision Support: A Review |
title_short |
Data Mining for Education Decision Support: A Review |
title_full |
Data Mining for Education Decision Support: A Review |
title_fullStr |
Data Mining for Education Decision Support: A Review |
title_full_unstemmed |
Data Mining for Education Decision Support: A Review |
title_sort |
data mining for education decision support: a review |
publisher |
Kassel University Press |
series |
International Journal of Emerging Technologies in Learning (iJET) |
issn |
1863-0383 |
publishDate |
2014-12-01 |
description |
Management of higher education must continue to evaluate on an ongoing basis in order to improve the quality of institutions. This will be able to do the necessary evaluation of various data, information, and knowledge of both internal and external institutions. They plan to use more efficiently the collected data, develop tools so that to collect and direct management information, in order to support managerial decision making. The collected data could be utilized to evaluate quality, perform analyses and diagnoses, evaluate dependability to the standards and practices of curricula and syllabi, and suggest alternatives in decision processes. Data minings to support decision making are well suited methods to provide decision support in the education environments, by generating and presenting relevant information and knowledge towards quality improvement of education processes. In educational domain, this information is very useful since it can be used as a base for investigating and enhancing the current educational standards and managements. In this paper, a review on data mining for academic decision support in education field is presented. The details of this paper will review on recent data mining in educational field and outlines future researches in educational data mining. |
topic |
Data mining Decision making Education Review. |
url |
http://online-journals.org/index.php/i-jet/article/view/3950 |
work_keys_str_mv |
AT suhirmansuhirman dataminingforeducationdecisionsupportareview AT tututherawan dataminingforeducationdecisionsupportareview AT harunachiroma dataminingforeducationdecisionsupportareview AT jasnimohamadzain dataminingforeducationdecisionsupportareview |
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