An emotion regulation model in an e-Learning environment

Emotions play an important role in an e-learning process. Optimal emotions can enhance learning enthusiasm, but negative emotions can suppress learning's interest. According to the basic emotion regulation theory, the paper proposes a model of emotion regulation, and provides an optimal mood to learners in an e-Learning environment. The model evaluates an e-learner's current emotions with emotional lexicon and semantic rules, and uses the emotion regulation strategy scale to determine the learner's strategy of emotional regulation, then uses specific adjustments to remedy negative emotions presented to the e-learner. Finally, the paper presents a prototype that has been built to validate the model in an emotion-chat system.