School's Performance Evaluation Based on Data Mining
| Autor: | Almuniri, Ismail, Said, Aiman Moyaid |
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| Rok vydání: | 2017 |
| Předmět: |
Bildung und Erziehung
Education Data Mining Makroebene des Bildungswesens Macroanalysis of the Education System Economics of Education Educational Policy Qualitätssicherung Datengewinnung Bildungswesen Schule Evaluation Leistungsbewertung Klassifikation Oman classification evaluation school performance assessment education system quality assurance data capture 50200 |
| Zdroj: | International Journal of Engineering and Information Systems, 1, 9, 56-62 |
| Druh dokumentu: | journal article<br />Zeitschriftenartikel |
| Popis: | Educational sector is significant in any society as it plays a crucial role for developing the nation. Educational evaluation determines the effectiveness of the learning process and it interests all educational stakeholders. Currently, one of the challenges that the Ministry of Education in Oman is facing is to evaluate the performance of the school; this problem can be addressed through the use of modern technologies, such as the use of data mining. This study proposes to employee data mining to link between the different performance indicators with a goal of getting complete and effective evaluation for any school. Several classification techniques were exploited to analyze school performance. The results demonstrate a high accuracy level. |
| Databáze: | SSOAR – Social Science Open Access Repository |
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