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https://nbn-resolving.org/urn:nbn:de:0168-ssoar-55182-8

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School's Performance Evaluation Based on Data Mining

[Zeitschriftenartikel]

Almuniri, Ismail
Said, Aiman Moyaid

Abstract

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... mehr

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.... weniger

Thesaurusschlagwörter
Qualitätssicherung; Datengewinnung; Bildungswesen; Schule; Evaluation; Leistungsbewertung; Klassifikation; Oman

Klassifikation
Makroebene des Bildungswesens

Freie Schlagwörter
Data Mining

Sprache Dokument
Englisch

Publikationsjahr
2017

Seitenangabe
S. 56-62

Zeitschriftentitel
International Journal of Engineering and Information Systems, 1 (2017) 9

Status
Veröffentlichungsversion; begutachtet (peer reviewed)

Lizenz
Creative Commons - Namensnennung 1.0


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Home  |  Impressum  |  Betriebskonzept  |  Datenschutzerklärung
© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.