Emotional experience of students interating with a system for learning programming

• Main Authors: Tiam-Lee, Thomas James Z., Sumi, Kaoru
• Format: text
• Published: Animo Repository 2019
• Subjects: Emotion recognition; Intelligent tutoring systems; Artificial intelligence; Face perception; Computer Sciences
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/13065
• Institution: De La Salle University

This paper discusses the emotional experience of students while interacting with a system for solving programming exercises. We collected data from 73 university students who each used the system for 45 minutes. They were also asked to provide self-report affect judgments which describe the emotions that they experienced at different moments in the session. Using this data, we performed an analysis of the emotional experience of students while interacting with the system content, focusing particularly on the transitions across different emotions. We also analyzed the facial expressions, pose, and logs in relation to the various emotional states. We believe this study can contribute to the recognition of student affect in programming activity, and can potentially be used in a variety of applications such as intelligent programming tutors.