Educational data mining: prediction of students' academic performance using machine learning algorithms
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2196-7091
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Educational data mining: prediction of students' academic performance using machine learning algorithms ; volume:9 ; number:1 ; day:3 ; month:3 ; year:2022 ; pages:1-19 ; date:12.2022
Smart Learning Environments ; 9, Heft 1 (3.3.2022), 1-19, 12.2022
- Klassifikation
-
Erziehung, Schul- und Bildungswesen
- Urheber
-
Yağcı, Mustafa
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s40561-022-00192-z
- URN
-
urn:nbn:de:101:1-2022060211565075985813
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:32 MESZ
Datenpartner
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Beteiligte
- Yağcı, Mustafa
- SpringerLink (Online service)
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