Evaluation of Teaching Effectiveness based on Classroom Micro-Expression Recognition

doi:10.23940/ijpe.18.11.p33.28772885

Int J Performability Eng ›› 2018, Vol. 14 ›› Issue (11): 2877-2885.doi: 10.23940/ijpe.18.11.p33.28772885

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Evaluation of Teaching Effectiveness based on Classroom Micro-Expression Recognition

Xiaoxu Guo^a, Juxiang Zhou^{b, *}, and Tianwei Xu^c

^a School of Information, Yunnan Normal University, Kunming, 650500, China;
^b Key Laboratory of Education Informatization for Nationalities, Ministry of Education, Yunnan Normal University, Kunming, 650500, China;
^c Graduate Faculty, Yunnan Normal University, Kunming, 650500, China

Submitted on ;
Contact: * E-mail address: zjuxiang@126.com
About author:Xiaoxu Guo received her bachelor's degree in 2016 from Bohai University, Jinzhou, China. Currently, she is pursuing a Master's degree at Yunnan Normal University, Kunming, China. She studies machine learning, micro-expression recognition, and applications to education.Juxiang Zhou received her Master's degree in 2011 from Yunnan Normal University, Kunming, China. Currently, she is an assistant research fellow at Yunnan Normal University and is pursuing a Ph.D. at Dalian University of Technology, Dalian, China. Her research interests include image retrieval and pattern recognition.Tianwei Xu received his Ph.D. in higher education in 2013 from Huazhong University of Science, Wuhan, China. Currently, he is a professor and director of the graduate school at Yunnan Normal University, Kunming, China. His major research fields include education technology, higher education management, and education informationization.

Abstract

Abstract: The improvement of teaching quality has been a persistent theme in education. To improve the quality of teaching in the classroom, teachers need to interact with students, pay attention to each student’s emotional changes, and closely follow each student’s changes in learning status, so as to make effective adjustments for teaching content. However, students’ responses often cannot be captured in time due to the limitations of the teacher in the classroom. Advances in computer and Internet technology as well as the development and maturation of image processing and artificial intelligence have provided technical support for the evaluation system of facial expression recognition in intelligent classrooms. In this paper, we propose an effective method to evaluate teaching effectiveness based on facial micro-expression recognition. An evaluation system is also designed and realized based on analyzing the change of classroom micro-expressions and the concentration of students. In such an evaluation system, face detection, tracking, and micro-expression recognition technology are applied to analyze the emotional changes during the learning process. Then students’ attention in class will be timely fed back to teachers, which can help teachers adjust teaching methods and strategies in a timely manner to improve teaching quality. In an informational teaching environment with general monitoring equipment, our proposed system can automatically track and analyze the degree of student’s concentration in the teaching process. Furthermore, it can also track the specified objects and analyze the change of their learning status in a certain period of time, which can help teachers conduct expediently multi-dimensional evaluation and guidance.

Key words: teaching evaluation, face detection, Micro-expression recognition, emotional dimensions

Xiaoxu Guo, Juxiang Zhou, and Tianwei Xu. Evaluation of Teaching Effectiveness based on Classroom Micro-Expression Recognition [J]. Int J Performability Eng, 2018, 14(11): 2877-2885.

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Evaluation of Teaching Effectiveness based on Classroom Micro-Expression Recognition

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