The role of affect in personalized learning
Samaras, George S.
SourceProceedings - 2009 9th IEEE International Conference on Advanced Learning Technologies, ICALT 2009
2009 9th IEEE International Conference on Advanced Learning Technologies, ICALT 2009
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Research on modelling affect and on interfaces adaptation based on affective factors has matured considerably over the past several years. Emotions are considered to play a central role in guiding and regulating learning, performance, behaviour and decision making, by modulating numerous cognitive and physiological activities. The basic objective of this paper is to analyse the way that individuals process their emotions and how they interact with other elements of their information-processing system. It will further underpin their significance taking into consideration the notion of emotion regulation, based on which users expect to receive the most apt personalized provider's content. Special emphasis will be given in dispositional trait affect that serves as an overall estimation of an individual's affective state and statistical evidence will be provided which suggest that affect can have both informational and processing effects on cognition © 2009 IEEE.