Application of Data Mining in Physical Education Experiment Teaching Guidance
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-63130-6_25
Reference11 articles.
1. Park, H.S., Park, J.J.: Formation process and content of pre-service physical education teacher’s pedagogical content knowledge in teaching practice phase. J. Korean Soc. Study Phys. Educ. 23(1), 37–53 (2018)
2. Batterham, M., Neale, E., Martin, A., et al.: Data mining: potential applications in research on nutrition and health. Nutr. Diet. 74(1), 3–10 (2017)
3. Sung-Geon, P., Kwang-Won, et al.: The related word analysis on korean society of leisure and recreation based on text mining and network analysis: focused on KAHPERD. Korean J. Phys. Educ. 56(3), 389–402 (2017)
4. Sinelniko, V.O.: The influence of content knowledge on pedagogical content knowledge: an evidence-based practice for physical education. J. Teach. Phys. Educ. 37(2),1–35 (2018)
5. Parmezan Bonidia, R., Duilio Brancher, J., Marques, B.R.: Data mining in sports: a systematic review. IEEE Lat. Am. Trans. 16(1), 232–239 (2018)
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