Abstract:
Emotions play an essential role in decision making,
managing, perceiving, learning and influencing the thinking
process of humans. Emotions are also important in teaching
and learning and often find expression in particular ways,
such as interactions with others, as well as interest and
motivation in learning. However the influence of emotions on
learning is still under-emphasized. Continuous and increasing
exploration of the complex set of parameters surrounding
online learning reveals the importance of the emotional states
of learners and especially the relationship between learning
and affective behavior. Automated learner facilitator is a
system that has ability to capture the learners' facial
expression and comprehend that data. The system always
detects a user's facial expressions and recognized the changes
in those facial expressions. The proposed actions were based
on an experiment carried out among in the Sri Lankan
university system regarding online learner behaviour during
learning. The system focuses on investigate the current
approaches in facial expression recognition and application
them into the field of online learning to solve the problems
related to learner facilitation. The results of the experiment
have been used for new developments in e-Iearning courses
and thereby the performance of e-learners is expected to be
enhanced.
