Modelling Study on Learning Affects for Classroom Teaching/Learning Auto-Evaluation
Science Journal of Education
Volume 6, Issue 3, June 2018, Pages: 81-86
Received: Jun. 19, 2018;
Published: Jun. 20, 2018
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Minyu Pan, College of Information Science and Technology, Beijing Normal University, Beijing, China
Jing Wang, College of Information Science and Technology, Beijing Normal University, Beijing, China; Engineering Research Center of Virtual Reality and Applications, Ministry of Education, Beijing, China
Zuying Luo, College of Information Science and Technology, Beijing Normal University, Beijing, China; Engineering Research Center of Virtual Reality and Applications, Ministry of Education, Beijing, China
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In studies on classroom teaching auto-evaluation, we have achieved some remarkable results in Classroom Attendance Auto-management, learning attention & facial expression auto-analysis. For further utilizing learning affects to auto-evaluate classroom teaching/learning effects, we watch a large number of classroom videos. Then, based on the stimulus-response mechanism, we use learning facial expressions & attention to categorize students’ learning affects (SLA) and construct a SLA transfer model. At last, we simply describe how to use SLA analysis results to auto-evaluate the classroom teaching/learning effects. This work lays a theoretical foundation for the studies on learning facial expressions and learning affects for classroom teaching/learning auto-evaluation.
Learning Affect, Classroom Evaluation, Affect Modelling, Facial Expression Recognition
To cite this article
Modelling Study on Learning Affects for Classroom Teaching/Learning Auto-Evaluation, Science Journal of Education.
Vol. 6, No. 3,
2018, pp. 81-86.
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