DocumentCode
2560240
Title
CoALa — A collaborative analysis lab for an identification of user parameters for adaptive e-leaming systems
Author
Lucht, Martina ; Pharow, Peter
Author_Institution
Fraunhofer Inst. for Digital Media Technol. IDMT, Ilmenau, Germany
fYear
2015
fDate
18-20 March 2015
Firstpage
1008
Lastpage
1012
Abstract
The definition and development of parameters for adaptive e-leaming systems is complex and time consuming. In this paper an option for user modelling is proposed that supports the identification of users´ motivation for learning. Also cognitive features are hard to identify they represent very stable user parameters for adaptive systems. The Collaborative Analysis Lab (CoALa) is an empirical instrument to easily evaluate, structure and rank students motivation and needs for learning.
Keywords
adaptive systems; behavioural sciences computing; computer aided instruction; human factors; CoALa; adaptive e-leaming systems; cognitive features; collaborative analysis lab; user modelling; user motivation identification; user parameter identification; Conferences; Engineering education; CoALa; adaptation; motivation; user model; volition;
fLanguage
English
Publisher
ieee
Conference_Titel
Global Engineering Education Conference (EDUCON), 2015 IEEE
Conference_Location
Tallinn
Type
conf
DOI
10.1109/EDUCON.2015.7096096
Filename
7096096
Link To Document