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
Clustering learning objects in the IEEE-LOM standard consid..:
, In:
2017 Twelfth Latin American Conference on Learning Technologies (LACLO)
,
Mendes, Miller M.
;
Carvalho, Vitor C.
;
Araujo, Rafael D.
.. - p. 1-8 , 2017
Link:
https://doi.org/10.1109/LACLO.2017.8120898
RT T1
2017 Twelfth Latin American Conference on Learning Technologies (LACLO)
: T1
Clustering learning objects in the IEEE-LOM standard considering learning styles to support customized recommendation systems in educational environments
UL https://suche.suub.uni-bremen.de/peid=ieee-8120898&Exemplar=1&LAN=DE A1 Mendes, Miller M. A1 Carvalho, Vitor C. A1 Araujo, Rafael D. A1 Dorca, Fabiano A. A1 Cattelan, Renan G. YR 2017 K1 Adaptation models K1 Visualization K1 Standards K1 Electronic mail K1 Proposals K1 Adaptive systems K1 Image resolution K1 learning objects K1 learning styles K1 adaptive educational systems K1 clustering K1 learning environment K1 lom field SP 1 OP 8 LK http://dx.doi.org/https://doi.org/10.1109/LACLO.2017.8120898 DO https://doi.org/10.1109/LACLO.2017.8120898 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)