Abstract
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.
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Acknowledgments
We thank our colleagues from Colorado Technical University and Strayer University who provided insight and expertise that assisted the research. Furthermore, we thank all participants of this research.
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Morton, K., Qu, Y., Carroll, M. (2017). An Affective Computing and Fuzzy Logic Framework to Recognize Affect for Cloud-based E-Learning Environment Using Emoticons. In: Sun, X., Chao, HC., You, X., Bertino, E. (eds) Cloud Computing and Security. ICCCS 2017. Lecture Notes in Computer Science(), vol 10602. Springer, Cham. https://doi.org/10.1007/978-3-319-68505-2_25
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DOI: https://doi.org/10.1007/978-3-319-68505-2_25
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