Classification of emotions in programming from face and log features using representative intervals

• Main Authors: Tiam-Lee, Thomas James Z., Sumi, Kaoru
• Format: text
• Published: Animo Repository 2019
• Subjects: Emotion recognition; Intelligent tutoring systems; Face perception; Computer Engineering; Computer Sciences
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/13069
• Institution: De La Salle University

This paper discusses a machine learning approach for classifying student emotions while doing programming exercises. Detection of academic emotions in programming from face features has previously been shown to be a difficult task because people don't tend to display as much expression as compa...