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Detect students' academic emotions in classroom: Measurement, self-perception and manifested behaviors

  • East China Normal University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

The emotions students experience in the classroom are likely to influence their learning in school. For purposes of helping student improve their learning, this study seeks to further the development of the use of automated analysis of observed data to understand students' emotions and during their learning activities. This study looks at linking behavioral data about emotions with self-report data about emotions with the intent to determine if observed behaviors are able to predict student's emotions. The ICT-supported Learning Emotion Scale was used for 57 students to measure their learning emotion while learning in an ICT environment, meanwhile, classroom observations were conducted for 57 students for six weeks in 4 classrooms, paying close attention to student emotional behaviors and emotional changes. The results found that three key groups of behavioral indicators happened frequently. One of the key findings was that students who volunteered to answer questions in class were observed to have an observable “enjoy” emotion 84.79% of the time. The discussion highlighted that the bridge function of students' emotion engagement between classroom observation and questionnaire data.

源语言英语
主期刊名Proceedings of the 25th International Conference on Computers in Education, ICCE 2017 - Main Conference Proceedings
编辑Ahmad Fauzi Mohd Ayub, Antonija Mitrovic, Jie-Chi Yang, Su Luan Wong, Wenli Chen
出版商Asia-Pacific Society for Computers in Education
403-408
页数6
ISBN(印刷版)9789869401265
出版状态已出版 - 2017
活动25th International Conference on Computers in Education, ICCE 2017 - Christchurch, 新西兰
期限: 4 12月 20178 12月 2017

出版系列

姓名Proceedings of the 25th International Conference on Computers in Education, ICCE 2017 - Main Conference Proceedings

会议

会议25th International Conference on Computers in Education, ICCE 2017
国家/地区新西兰
Christchurch
时期4/12/178/12/17

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