DocumentCode
3143425
Title
Visualizing Narrative Structures and Learning Style Information in Personalized e-Learning Systems
Author
Williams, Fionán Peter ; Conlan, Owen
Author_Institution
Trinity Coll. Dublin, Dublin
fYear
2007
fDate
18-20 July 2007
Firstpage
872
Lastpage
876
Abstract
This paper proposes a novel approach to the visualization of complex, but interrelated, sets of information to ease user cognition. Principally, it explores the potential of providing users of personalized e-Learning systems with a means of visualizing the complex space in which they learn, with the aim of supporting the development of meta- cognitive insight pertaining to their individual learning style. It also provides course authors with a novel means of understanding how learners used their courses over time, thereby enabling them to detect usage patterns and diagnose problems.
Keywords
cognition; computer aided instruction; individual learning style; personalized e-learning system; usage pattern detection; user cognition; Adaptive systems; Cognition; Data engineering; Data visualization; Educational institutions; Electronic learning; History; Humans; Monitoring; Prototypes;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Learning Technologies, 2007. ICALT 2007. Seventh IEEE International Conference on
Conference_Location
Niigata
Print_ISBN
0-7695-2916-X
Type
conf
DOI
10.1109/ICALT.2007.282
Filename
4281180
Link To Document