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
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;
Conference_Titel :
Global Engineering Education Conference (EDUCON), 2015 IEEE
Conference_Location :
Tallinn
DOI :
10.1109/EDUCON.2015.7096096
