Journal article | Zeitschriftenartikel
School's Performance Evaluation Based on Data Mining
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.
- Umfang
-
Seite(n): 56-62
- Sprache
-
Englisch
- Anmerkungen
-
Status: Veröffentlichungsversion; begutachtet (peer reviewed)
- Erschienen in
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International Journal of Engineering and Information Systems, 1(9)
- Thema
-
Bildung und Erziehung
Makroebene des Bildungswesens
Qualitätssicherung
Datengewinnung
Bildungswesen
Schule
Evaluation
Leistungsbewertung
Klassifikation
Oman
- Ereignis
-
Geistige Schöpfung
- (wer)
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Almuniri, Ismail
Said, Aiman Moyaid
- Ereignis
-
Veröffentlichung
- (wann)
-
2017
- URN
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urn:nbn:de:0168-ssoar-55182-8
- Rechteinformation
-
GESIS - Leibniz-Institut für Sozialwissenschaften. Bibliothek Köln
- Letzte Aktualisierung
-
21.06.2024, 16:26 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
GESIS - Leibniz-Institut für Sozialwissenschaften. Bibliothek Köln. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
GESIS - Leibniz-Institut für Sozialwissenschaften. Bibliothek Köln. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Zeitschriftenartikel
Beteiligte
- Almuniri, Ismail
- Said, Aiman Moyaid
Entstanden
- 2017
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