- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2365-9440
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
An early warning system to identify and intervene online dropout learners ; volume:20 ; number:1 ; day:10 ; month:1 ; year:2023 ; pages:1-25 ; date:12.2023
International journal of educational technology in higher education ; 20, Heft 1 (10.1.2023), 1-25, 12.2023
- Creator
-
Bañeres, David
Rodríguez-González, M. Elena
Guerrero-Roldán, Ana-Elena
Cortadas, Pau
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1186/s41239-022-00371-5
- URN
-
urn:nbn:de:101:1-2023031209040003653096
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:59 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Bañeres, David
- Rodríguez-González, M. Elena
- Guerrero-Roldán, Ana-Elena
- Cortadas, Pau
- SpringerLink (Online service)
Other Objects (12)
Digital learner presence and online teaching tools: higher cognitive requirements of online learners for effective learning
Using hexad user types to identify motivational preferences among learners
Dropout in online higher education: a systematic literature review
Wasserstein dropout
Using pattern recognition to identify Harbinger configurations of early warning indicators
Legal lexis in online learner’s lexicography : to what extent are the 'Big Five' English online monolingual learner’s dictionaries fit for the particular purpose of legal ESP classes?
Learners’ perceptions and experiences of studying psychology online
Dropout intention: a valid predictor of actual dropout?
Dropout intention : a valid predictor of actual dropout?
Scalable early warning systems for school dropout prevention: Evidence from a 4.000-school randomized controlled trial
E-assessment process: giving a voice to online learners
E-learners' satisfaction as predictors of online classroom community
Digital learner presence and online teaching tools: higher cognitive requirements of online learners for effective learning
Using hexad user types to identify motivational preferences among learners
Dropout in online higher education: a systematic literature review
Wasserstein dropout
Using pattern recognition to identify Harbinger configurations of early warning indicators
Legal lexis in online learner’s lexicography : to what extent are the 'Big Five' English online monolingual learner’s dictionaries fit for the particular purpose of legal ESP classes?
Learners’ perceptions and experiences of studying psychology online
Dropout intention: a valid predictor of actual dropout?
Dropout intention : a valid predictor of actual dropout?
Scalable early warning systems for school dropout prevention: Evidence from a 4.000-school randomized controlled trial
E-assessment process: giving a voice to online learners
E-learners' satisfaction as predictors of online classroom community
Digital learner presence and online teaching tools: higher cognitive requirements of online learners for effective learning
Using hexad user types to identify motivational preferences among learners
Dropout in online higher education: a systematic literature review
Wasserstein dropout
Using pattern recognition to identify Harbinger configurations of early warning indicators
Legal lexis in online learner’s lexicography : to what extent are the 'Big Five' English online monolingual learner’s dictionaries fit for the particular purpose of legal ESP classes?
Learners’ perceptions and experiences of studying psychology online
Dropout intention: a valid predictor of actual dropout?
Dropout intention : a valid predictor of actual dropout?
Scalable early warning systems for school dropout prevention: Evidence from a 4.000-school randomized controlled trial
E-assessment process: giving a voice to online learners