Title :
An Experimental Assessment of the Use of Cognitive and Affective Factors in Adaptive Educational Hypermedia
Author :
Tsianos, Nikos ; Lekkas, Zacharias ; Germanakos, Panagiotis ; Mourlas, Costas ; Samaras, George
Author_Institution :
Dept. of Commun. & Mass Media, Univ. of Athens, Athens, Greece
Abstract :
In order to assess the positive effect and validity of personalization on the basis of users´ cognitive and emotional characteristics, this study presents three subsequent experiments. The first experiment explores the relationship of cognitive style and users´ eye gaze behavior as to validate this specific psychological construct in the context of educational hypermedia. The second and third experiments present the effect of a set of human factors (cognitive style, visual working memory span, control/speed of processing, and anxiety) in an adaptive educational system. The eye tracking experiment demonstrated that eye gaze patterns are robustly related to cognitive style (n = 21), while matching the instructional style to users´ characteristics was revealed to be statistically significant in optimizing users´ performance ( n = 219), with the exception of control/speed of processing. Based on this empirical assessment, this paper argues that individual differences at this intrinsic level are important and adaptation on these parameters through personalization technologies may have a positive effect on learning performance.
Keywords :
cognitive systems; computer aided instruction; human factors; hypermedia; adaptive educational hypermedia; adaptive educational system; affective factors; cognitive factors; cognitive style; eye gaze patterns; instructional style matching; learning performance; personalization technologies; user cognitive characteristics; user emotional characteristics; user eye gaze behavior; Adaptation model; Data mining; Human factors; Information processing; Navigation; Process control; Visualization; Adaptive hypermedia; computer-assisted instruction; human factors; personalization.; psychology;
Journal_Title :
Learning Technologies, IEEE Transactions on
DOI :
10.1109/TLT.2009.29