Data-Driven Research on the Evaluation and Optimization of Table Tennis-Specific Teaching Effectiveness
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Abstract
Table tennis-specific teaching is often constrained by single assessment indicators, delayed feedback, and insufficient individualized guidance, making it difficult to understand students’ technical proficiency and training effectiveness accurately. This study develops a data-driven evaluation and optimization model based on multidimensional data collection. Wearable sensors, video analysis, and questionnaires are integrated to collect technical movement data, physiological indicators, and learning feedback from 120 table tennis students. The Analytic Hierarchy Process is used to determine weights for four evaluation dimensions: technical movement, physical fitness, tactical awareness, and theoretical knowledge. K-means clustering then classifies students into four levels—excellent, good, average, and needing improvement—and differentiated training programs are designed accordingly. After a 16-week optimized teaching intervention, serve accuracy in the experimental group increased from 68.3% to 85.7%, while the control group improved only from 68.5% to 74.2%. The model supports objective teaching diagnosis, personalized training, and realtime adjustment, and its sensing architecture is applicable to wireless data transmission and electromagneticcompatible sports monitoring systems.
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References
H. Sheng, “Application of Hierarchical Teaching in Table Tennis Teaching in Colleges,” Clausius Scientific Press, 2021, doi: 10.23977/JHMS.2021.020406.
S. Siregar, R. Hasibuan, and M. Y. Ahady, “Development of Digital-based Table Tennis Teaching Materials,” Proceedings of the 5th International Conference on Innovation in Education, Science, and Culture, ICIESC 2023, 24 October 2023, Medan, Indonesia, 2024, doi: 10.4108/eai.24-10-2023.2342055.
H. Pinggui, “Teaching of Backspin Serve in Table Tennis,” Journal of Education and Culture Studies, 2022, doi: 10.22158/jecs.v6n2p115.
R. Qi and R. Li, “Network Multimedia Table Tennis Teaching Design Based on Embedded Microprocessor,” Wireless Communications and Mobile Computing, 2022, doi: 10.1155/2022/2019857.
H. Y. Ren and D. Wang, “Optimization Algorithm of College Table Tennis Teaching Quality Based on Big Data,” 2021, doi: 10.23977/AETP.2021.54023.
W. Zeng, “Table Tennis Teaching 3D Model Based on Hierarchical Clustering Intelligent Algorithm,” First International Conference on Real Time Intelligent Systems. Springer, Cham, 2024, doi: 10.1007/978-3-031-55848-1_34.
I. Ivanov, A. Petrova, Z. Nikolova, et al., “DEVELOPMENT OF THE PHYSICAL QUALITY OF AGILITY THROUGH THE SPORT OF TABLE TENNIS (REVIEW),” Knowledge: International Journal, vol. 74, no. 4, 2026.
Y. Wang and P. Sup, “Exploration of Physical Fitness Training Path in Table Tennis Teaching in Middle School,” Frontiers in Sport Research, 2021, doi: 10.25236/FSR.2021.030207.
M. N. Ortega-Zayas, A. J. Cardona-Linares, A. Quílez, et al., “Development and validation of a questionnaire for table tennis teaching in physical education,” FRONTIERS IN PSYCHOLOGY, vol. 16, Art. no. 1550061, 2025, doi: 10.3389/fpsyg.2025.1550061.
I. B. Endrawan, H. Nufus, B. Hermansah, et al., “Effectiveness of plyometric training programme in increasing reaction speed in table tennis game,” Fizjoterapia Polska, no. 1, 2025, doi: 10.56984/8ZG007DV66X.