I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
Predicting Creativity in Online Courses:
, In:
2022 International Conference on Advanced Learning Technologies (ICALT)
,
Rudian, Sylvio
;
Haase, Jennifer
;
Pinkwart, Niels
- p. 164-168 , 2022
Link:
https://doi.org/10.1109/ICALT55010.2022.00056
RT T1
2022 International Conference on Advanced Learning Technologies (ICALT)
: T1
Predicting Creativity in Online Courses
UL https://suche.suub.uni-bremen.de/peid=ieee-9853846&Exemplar=1&LAN=DE A1 Rudian, Sylvio A1 Haase, Jennifer A1 Pinkwart, Niels YR 2022 SN 2161-377X K1 Radio frequency K1 Measurement K1 Analytical models K1 Radio access technologies K1 Linear discriminant analysis K1 Task analysis K1 Random forests K1 Prediction K1 Online Course K1 Trace data K1 Creativity SP 164 OP 168 LK http://dx.doi.org/https://doi.org/10.1109/ICALT55010.2022.00056 DO https://doi.org/10.1109/ICALT55010.2022.00056 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)