Construction of a Classification Model for Teacher and Student Behavior in Physical Education Classrooms –Based on Multimodal Data

[1] Stojadinovic, Z., Bozic, M., & Nadadi, A. (2021). Development and implementation of evaluation framework for quality enhancement of outcome-based curriculum. International Journal of Engineering Education, 37(2), 397–408. Search in Google Scholar

[2] Lee, J., Zhang, T., Zhang, X., Chu, A., & Weiller-Abels, K. H. (2020). Preservice classroom teachers' perspectives on a comprehensive school physical activity programme. Health Education Journal, 1-15. Search in Google Scholar

[3] Zhang, C. (2021). Conception of curriculum evaluation model based on bp neural network fusion. Lecture Notes in Electrical Engineering. Search in Google Scholar

[4] Banville, D., Dyson, B., Kulinna, P. H., & Stylianou, M. (2019). Classroom teachers' and administrators' views of teaching health and physical education. European Physical Education Review, 26(1), 1356336X1986773. Search in Google Scholar

[5] Wu, F., & Fang, Y. (2022). Multilevel evaluation of teaching quality in higher education using single-valued neutrosophic set. Mobile Information Systems. Search in Google Scholar

[6] Mcentyre, K., Curtner-Smith, M. D., & Baxter, D. S. (2019). Negotiations between preservice classroom teachers and students during a physical education early field experience. Journal of Teaching in Physical Education, 39(1), 1-31. Search in Google Scholar

[7] Picos, A. P., Víctor M. López Pastor, & Fraile, A. (2019). Perception questionnaire of teaching competences in physical education. Revista Internacional de Medicina y Ciencias de la Actividad Fisica y del Deporte, 19(75), 445-461. Search in Google Scholar

[8] Kilday, J. E., & Ryan, A. M. (2024). The intermediary role of peer relationships between teachers and students' classroom engagement. Journal of Applied Developmental Psychology, 92. Search in Google Scholar

[9] Li, M., & Ning, C. (2020). The reform of modern university sports teaching mode based on the evaluation standard. Solid State Technology, 63, 481-489. Search in Google Scholar

[10] Carson, R. L., Dauenhauer, B., Stoepker, P. T., Von Klinggraeff, L. E., Capps, M., & Kuhn, A. C. P., et al. (2018). Effects of a physical activity integration course for classroom teachers on student movement and teacher behavior. Annals of behavioral medicine :(suppl.1), 52. Search in Google Scholar

[11] Li, L., Wang, W., & Bian, F. (2021). Application of the big data analysis model in higher education talent training quality evaluation. Complexity. Search in Google Scholar

[12] Murray, A. L., Obsuth, I., Eisner, M., & Ribeaud, D. (2018). Disaggregating between- and within-classroom variation in student behavior: a multilevel factor analysis of teacher ratings of student prosociality and aggression. The Journal of Early Adolescence, 37(7), 027243161879700. Search in Google Scholar

[13] Bao, L., Xiao, Y., Koenig, K., & Han, J. (2018). Validity evaluation of the lawson classroom test of scientific reasoning. Physical Review Special Topics - Physics Education Research, 14(2), 20106-20101. Search in Google Scholar

[14] Stssel, J., Baumann, R., & Wegner, E. (2021). Predictors of student teachers' esd implementation intention and their implications for improving teacher education. Sustainability, 13. Search in Google Scholar

[15] Huang, Y., Richter, E., Kleickmann, T., Wiepke, A., & Richter, D. (2021). Classroom complexity affects student teachers' behavior in a vr classroom. Comput. Educ., 163, 104100. Search in Google Scholar

[16] Hsiao, J. C., Chen, S. K., Chen, W., & Lin, S. S. J. (2022). Developing a plugged-in class observation protocol in high-school blended stem classes: student engagement, teacher behaviors and student-teacher interaction patterns. Computers & education(Mar.), 178. Search in Google Scholar

[17] Vasconcellos, D., Parker, P. D., Hilland, T., Cinelli, R., & Lonsdale, C. (2019). Self-determination theory applied to physical education: a systematic review and meta-analysis. Journal of Educational Psychology, 112(7). Search in Google Scholar

[18] Li, W. (2022). Research on evaluation method of physical education teaching quality in colleges and universities based on decision tree algorithm. Mobile information systems(Pt.3), 2022. Search in Google Scholar

[19] Raúl A. Barba-Martín, David Hortigüela-Alcalá, ngel Pérez-Pueyo, & José Sánchez-Santamaría. (2020). Conceptual analysis of influential factors in the motivation and involvement of the university student towards the assessment in physical education. Sustainability, 12. Search in Google Scholar

[20] Starck, J. R., Richards, K. A. R., Lawson, M. A., & Sinelnikov, O. A. (2019). The influence of socialization factors on physical educators' conceptions of assessment and perceived quality of assessment. Journal of Teaching in Physical Education, 40(1), 1-10. Search in Google Scholar

[21] Xin Jie Wu, Si Kai Xu, Ming Yu Gao, Yan Dong Liu, Shi Xing Liu, Hua Yan & Yan Wang. (2024). A new ECT image reconstruction algorithm based on Vision transformer (ViT). Flow Measurement and Instrumentation102611-. Search in Google Scholar

[22] Rashmi S., Murthy Prashanth, Ashok Vani & Srinath S. (2022). Cephalometric Skeletal Structure Classification Using Convolutional Neural Networks and Heatmap Regression.SN Computer Science(5), Search in Google Scholar

[23] Chaoyong Qin, Dongling Qin, Qiuxian Jiang & Bangzhu Zhu. (2024). Forecasting carbon price with attention mechanism and bidirectional long short-term memory network.Energy131410-. Search in Google Scholar