An Affective Computing and Fuzzy Logic Framework to Recognize Affect for Cloud-based E-Learning Environment Using Emoticons

The deficiency in the ability for instructors in the Cloud based E-Learning environments to accurately determine a student's affective status has resulted in the inability to provide effective feedback to student. Feedback is important in learning as it allows a student to learn from their mistakes and helps build their academic confidence. In this paper, we have proposed an affective based E-Learning framework that uses fuzzy logic and emoticons to determine a student's affective status in a Cloud-based E-Learning Environment. This framework uses three emotions represented using emoticons, which are "excited", "tired", and "sad" to accurately detect a student's emotion during their learning process.