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.

School's Performance Evaluation Based on Data Mining

Urheber*in: Almuniri, Ismail; Said, Aiman Moyaid

Attribution 3.0 Germany

0
/
0

Extent
Seite(n): 56-62
Language
Englisch
Notes
Status: Veröffentlichungsversion; begutachtet (peer reviewed)

Bibliographic citation
International Journal of Engineering and Information Systems, 1(9)

Subject
Bildung und Erziehung
Makroebene des Bildungswesens
Qualitätssicherung
Datengewinnung
Bildungswesen
Schule
Evaluation
Leistungsbewertung
Klassifikation
Oman

Event
Geistige Schöpfung
(who)
Almuniri, Ismail
Said, Aiman Moyaid
Event
Veröffentlichung
(when)
2017

URN
urn:nbn:de:0168-ssoar-55182-8
Rights
GESIS - Leibniz-Institut für Sozialwissenschaften. Bibliothek Köln
Last update
21.06.2024, 4:26 PM CEST

Data provider

This object is provided by:
GESIS - Leibniz-Institut für Sozialwissenschaften. Bibliothek Köln. If you have any questions about the object, please contact the data provider.

Object type

  • Zeitschriftenartikel

Associated

  • Almuniri, Ismail
  • Said, Aiman Moyaid

Time of origin

  • 2017

Other Objects (12)