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
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;
Conference_Titel :
Advanced Learning Technologies, 2007. ICALT 2007. Seventh IEEE International Conference on
Conference_Location :
Niigata
Print_ISBN :
0-7695-2916-X
DOI :
10.1109/ICALT.2007.282