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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| Format: | Article |
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IJET
2014
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| Online Access: | http://umpir.ump.edu.my/id/eprint/9201/ |
| _version_ | 1848818431029149696 |
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| author | Suhirman, Suhirman Herawan, Tutut Chiroma, Haruna Jasni, Mohamad Zain |
| author_facet | Suhirman, Suhirman Herawan, Tutut Chiroma, Haruna Jasni, Mohamad Zain |
| author_sort | Suhirman, Suhirman |
| building | UMP Institutional Repository |
| collection | Online Access |
| 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.
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| first_indexed | 2025-11-15T01:37:33Z |
| format | Article |
| id | ump-9201 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| last_indexed | 2025-11-15T01:37:33Z |
| publishDate | 2014 |
| publisher | IJET |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-92012018-05-22T02:10:04Z http://umpir.ump.edu.my/id/eprint/9201/ Data Mining for Education Decision Support: A Review Suhirman, Suhirman Herawan, Tutut Chiroma, Haruna Jasni, Mohamad Zain QA76 Computer software 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. IJET 2014 Article PeerReviewed Suhirman, Suhirman and Herawan, Tutut and Chiroma, Haruna and Jasni, Mohamad Zain (2014) Data Mining for Education Decision Support: A Review. International Journal of Emerging Technologies in Learning, 9 (6). pp. 4-19. ISSN 1863-0383. (Published) http://www.online-journals.org/index.php/i-jet/article/view/3950 |
| spellingShingle | QA76 Computer software Suhirman, Suhirman Herawan, Tutut Chiroma, Haruna Jasni, Mohamad Zain Data Mining for Education Decision Support: A Review |
| title | 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_short | Data Mining for Education Decision Support: A Review |
| title_sort | data mining for education decision support: a review |
| topic | QA76 Computer software |
| url | http://umpir.ump.edu.my/id/eprint/9201/ http://umpir.ump.edu.my/id/eprint/9201/ |