Data Mining for Education Decision Support: A Review

• Main Authors: Suhirman Suhirman, Tutut Herawan, Haruna Chiroma, Jasni Mohamad Zain
• Format: Article
• Language: English
• Published: Kassel University Press 2014-12-01
• Series: International Journal of Emerging Technologies in Learning (iJET)
• Subjects: Data mining; Decision making; Education; Review.
• Online Access: http://online-journals.org/index.php/i-jet/article/view/3950

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.