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A Study of Teacher Behavioural Pattern Recognition Techniques in Music Education and Their Impact on Teaching Effectiveness

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29. Nov. 2024

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Chen, H., & Guan, J. (2022). Teacher–student behavior recognition in classroom teaching based on improved YOLO-v4 and Internet of Things technology. Electronics, 11(23), 3998.Search in Google Scholar

Ma, C., & Yang, P. (2021, August). Research on classroom teaching behavior analysis and evaluation system based on deep learning face recognition technology. In Journal of Physics: Conference Series (Vol. 1992, No. 3, p. 032040). IOP Publishing.Search in Google Scholar

Özgül, I. (2017). An Analysis of Music Courses Offered in the Primary School Teacher Education Programs in Turkey. International Education Studies, 10(4), 8-17.Search in Google Scholar

Chen, Z., Liang, M., Yu, W., Huang, Y., & Wang, X. (2021, January). Intelligent teaching evaluation system integrating facial expression and behavior recognition in teaching video. In 2021 IEEE International Conference on Big Data and Smart Computing (BigComp) (pp. 52-59). IEEE.Search in Google Scholar

Zhang, Y., Guo, Y., Hu, J., Liang, Q., Jiang, J., Shao, C., & Wang, Y. (2020, March). A teaching evaluation system based on visual recognition technology. In IOP Conference Series: Materials Science and Engineering (Vol. 782, No. 3, p. 032101). IOP Publishing.Search in Google Scholar

Zhang, Y., Wu, Z., Chen, X., Dai, L., Li, Z., Zong, X., & Liu, T. (2020, June). Classroom behavior recognition based on improved yolov3. In 2020 International Conference on Artificial Intelligence and Education (ICAIE) (pp. 93-97). IEEE.Search in Google Scholar

Zhao, X. (2022). Research on athlete behavior recognition technology in sports teaching video based on deep neural network. Computational Intelligence and Neuroscience, 2022(1), 7260894.Search in Google Scholar

Zhao, J., & Zhu, H. (2023). Cbph-net: A small object detector for behavior recognition in classroom scenarios. IEEE Transactions on Instrumentation and Measurement.Search in Google Scholar

Xu, T., Deng, W., Zhang, S., Wei, Y., & Liu, Q. (2023). Research on Recognition and Analysis of Teacher–Student Behavior Based on a Blended Synchronous Classroom. Applied Sciences, 13(6), 3432.Search in Google Scholar

Zhang, Z., Li, Z., Liu, H., Cao, T., & Liu, S. (2020). Data-driven online learning engagement detection via facial expression and mouse behavior recognition technology. Journal of Educational Computing Research, 58(1), 63-86.Search in Google Scholar

Choi, M. J., & Whang, M. C. (2017). A study on behavior response of child by emotion coaching of teacher based on emotional recognition technology. Journal of the Korea Convergence Society, 8(7), 323-330.Search in Google Scholar

Ling, W. (2022). Automatic recognition of students’ classroom behavior based on computer vision. Academic Journal of Computing & Information Science, 5(2), 31-34.Search in Google Scholar

Abdallah, T. B., Elleuch, I., & Guermazi, R. (2021). Student behavior recognition in classroom using deep transfer learning with VGG-16. Procedia Computer Science, 192, 951-960.Search in Google Scholar

Gu, C., & Li, Y. (2022). Analysis of art classroom teaching behavior based on intelligent image recognition. Mobile Information Systems, 2022(1), 5736407.Search in Google Scholar

Tang, X. Y., Peng, W. Y., Liu, S. R., & Xiong, J. W. (2020, February). Classroom teaching evaluation based on facial expression recognition. In Proceedings of the 2020 9th international conference on educational and information technology (pp. 62-67).Search in Google Scholar

Tang, J., Mai, F., & Xie, X. (2024, January). Intelligent Recognition of Teaching Behaviors in Smart Classroom. In 2024 International Conference on Informatics Education and Computer Technology Applications (IECA) (pp. 54-60). IEEE.Search in Google Scholar

Gang, Z., Wenjuan, Z., Biling, H., Jie, C., Hui, H., & Qing, X. (2021). A simple teacher behavior recognition method for massive teaching videos based on teacher set. Applied Intelligence, 51, 8828-8849.Search in Google Scholar

Wu, D., Chen, J., Deng, W., Wei, Y., Luo, H., & Wei, Y. (2020). The recognition of teacher behavior based on multimodal information fusion. Mathematical Problems in Engineering, 2020(1), 8269683.Search in Google Scholar

Ma, L., Zhou, T., Yu, B., Li, Z., Fang, R., & Liu, X. (2024). Improving YOLOv7 for Large Target Classroom Behavior Recognition of Teachers in Smart Classroom Scenarios. Electronics, 13(18), 3726.Search in Google Scholar

Wang, Y., Hu, H., & Gao, H. (2023, October). Teacher Classroom Behavior Detection Based on a Human Pose Estimation Algorithm. In International Symposium on Artificial Intelligence and Robotics (pp. 68-75). Singapore: Springer Nature Singapore.Search in Google Scholar

Ma, X., Zhou, J., Wu, D., & Luo, S. (2023, April). A Teacher Behavior Recognition Model Based on Multi-Stream Graph Convolution Network. In 2023 5th International Conference on Computer Science and Technologies in Education (CSTE) (pp. 320-325). IEEE.Search in Google Scholar

Li, Y., Deng, Z., Liu, M., He, S., Wang, Y., & Jiang, W. (2022, October). A Method for Analyzing Teacher Behavior in Classroom Based on the Long-and Short-Term Features of Pose Sequences. In 2022 9th International Conference on Digital Home (ICDH) (pp. 233-238). IEEE.Search in Google Scholar

Jia, J., Song, J., Hu, Q., Tang, S., & Xu, S. (2023, July). TAR: A Dataset of Teacher-Teaching Action Recognition. In 2023 8th International Conference on Image, Vision and Computing (ICIVC) (pp. 676-681). IEEE.Search in Google Scholar

Dye, K. (2016). Student and instructor behaviors in online music lessons: An exploratory study. International Journal of Music Education, 34(2), 161-170.Search in Google Scholar

Shiyan, P., Anran, Z., Shuhui, L., & Zhiqi, Z. (2022, September). Automatic Recognition of Teachers’ Nonverbal Behavior Based on Dilated Convolution. In 2022 IEEE 5th International Conference on Information Systems and Computer Aided Education (ICISCAE) (pp. 162-167). IEEE.Search in Google Scholar

Andi W. R. Emanuel ,Paulus Mudjihartono& Joanna A. M. Nugraha. (2021). Snapshot-Based Human Action Recognition using OpenPose and Deep Learning. IAENG International Journal of Computer Science(4.0).Search in Google Scholar

Yangkai Wu,Luhua Qiu,Jinming Wang & Shujuan Feng. (2025). The use of convolutional neural networks for abnormal behavior recognition in crowd scenes. Information Processing and Management(1), 103880-103880.Search in Google Scholar

Sprache:
Englisch
Zeitrahmen der Veröffentlichung:
1 Hefte pro Jahr
Fachgebiete der Zeitschrift:
Biologie, Biologie, andere, Mathematik, Angewandte Mathematik, Mathematik, Allgemeines, Physik, Physik, andere