Driving STEM learning effectiveness: dropout prediction and intervention in MOOCs based on one novel behavioral data analysis approach
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
1 Online-Ressource.
- Sprache
-
Englisch
- Erschienen in
-
Driving STEM learning effectiveness: dropout prediction and intervention in MOOCs based on one novel behavioral data analysis approach ; volume:11 ; number:1 ; day:18 ; month:3 ; year:2024 ; pages:1-19 ; date:12.2024
Humanities and Social Sciences Communications ; 11, Heft 1 (18.3.2024), 1-19, 12.2024
- Klassifikation
-
Erziehung, Schul- und Bildungswesen
- Urheber
-
Xia, Xiaona
Qi, Wanxue
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1057/s41599-024-02882-0
- URN
-
urn:nbn:de:101:1-2405210853460.611469742197
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 11:01 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Xia, Xiaona
- Qi, Wanxue
- SpringerLink (Online service)
Ähnliche Objekte (12)
Behavioral Patterns in Enterprise MOOCs at openSAP
MOOCs
Dropout prediction and decision feedback supported by multi temporal sequences of learning behavior in MOOCs
Behavioral nudges prevent student dropouts in the pandemic
Behavioral forces driving information unraveling
Behavioral Forces Driving Information Unraveling
Behavioral forces driving information unraveling
Driving, Dropouts, and Drive-Throughs: Mobility Restrictions and Teen Human Capital
Integrating Community Teaching in MOOCs
On the Effectiveness of Self-Training in MOOC Dropout Prediction
Wasserstein dropout
Open education: from OERs to MOOCs
Behavioral Patterns in Enterprise MOOCs at openSAP
MOOCs
Dropout prediction and decision feedback supported by multi temporal sequences of learning behavior in MOOCs
Behavioral nudges prevent student dropouts in the pandemic
Behavioral forces driving information unraveling
Behavioral Forces Driving Information Unraveling
Behavioral forces driving information unraveling
Driving, Dropouts, and Drive-Throughs: Mobility Restrictions and Teen Human Capital
Integrating Community Teaching in MOOCs
On the Effectiveness of Self-Training in MOOC Dropout Prediction
Wasserstein dropout
Open education: from OERs to MOOCs
Behavioral Patterns in Enterprise MOOCs at openSAP
MOOCs
Dropout prediction and decision feedback supported by multi temporal sequences of learning behavior in MOOCs
Behavioral nudges prevent student dropouts in the pandemic
Behavioral forces driving information unraveling
Behavioral Forces Driving Information Unraveling
Behavioral forces driving information unraveling
Driving, Dropouts, and Drive-Throughs: Mobility Restrictions and Teen Human Capital
Integrating Community Teaching in MOOCs
On the Effectiveness of Self-Training in MOOC Dropout Prediction
Wasserstein dropout