Personality and emotion as determinants of the learning experience: How affective behavior interacts with various components of the learning process

Abstract

The aim of the present study is to develop a model that grasps the complexity of the concepts of personality and affect in a web-based learning environment. Furthermore, it presents the implications that these theoretical and empirical representations can have in an experimental setting. We are investigating the connection between personality factors, emotion regulation and cognitive processing tasks, decision making and problem solving styles. Decision-making and problem solving are cognitive processes where the outcome is a choice between alternatives. They are both an indirect way to make inferences to a person's learning pattern since learning includes continuous decision making and problem resolution. By implementing our model in the design of a web-based learning personalized setting, we provide evidence that behavior is altered by affective elements in decision making and problem solving routines as is performance in cognitive processing tasks. © 2013 Springer-Verlag.