1. Yang, Z.: Utilizing information technology to promote reform and innovation in education and teaching evaluation. People’s Education, pp. 30–32. http://www.moe.gov.cn/jyb_xwfb/xw_zt/moe_357/jyzt_2020n/2020_zt21/zhuanjiawenzhang/202012/t20201201_502719.html (2020)
2. Li, B., Xie, D., Duan, W., Yang, R.: Kinect-based monitoring system for teaching in classroom. Transducer Microsyst. Technol. 36, 67–70 (2017)
3. Wang, Z., Shen, C., Zhao, C., Liu, X., Chen, J.: Recognition of classroom learning behaviors based on the fusion of human pose estimation and object detection. J. East China Norm. Univ. Nat. Sci. 23, 55–66 (2022)
4. Zhang, Z.: Microsoft Kinect sensor and its effect. IEEE Multimed. 19, 4–10 (2012)
5. Huang, W., Chen, J., Zhao, X., Liu, Q.: Performance evaluation of azure Kinect and Kinect 2.0 and their applications in 3D key-points detection of students in classroom environment. In: Proceedings of Artificial Intelligence in Education: Emerging Technologies, Models and Applications (Proceedings of International Conference on Artificial Intelligence in Education Technology, AIET), pp 177–193 (2022)