Research Article
Application of Data Mining Simulation Algorithm in Physical Education Teaching Evaluation
@INPROCEEDINGS{10.1007/978-3-031-63130-6_11, author={Zhenhua Cheng and Jidong Zhao}, title={Application of Data Mining Simulation Algorithm in Physical Education Teaching Evaluation}, proceedings={Application of Big Data, Blockchain, and Internet of Things for Education Informatization. Third EAI International Conference, BigIoT-EDU 2023, August 29-31, 2023, Liuzhou, China, Proceedings, Part I}, proceedings_a={BIGIOT-EDU}, year={2024}, month={7}, keywords={Data mining Physical education teaching evaluation Simulation algorithm}, doi={10.1007/978-3-031-63130-6_11} }- Zhenhua Cheng
Jidong Zhao
Year: 2024
Application of Data Mining Simulation Algorithm in Physical Education Teaching Evaluation
BIGIOT-EDU
Springer
DOI: 10.1007/978-3-031-63130-6_11
Abstract
The application of data mining simulation algorithm in physical education teaching evaluation is a process of using computer simulation model to evaluate. The use of simulation models is not new, but researchers have only recently used them in this way. Simulation models are often used to evaluate educational programs or courses (for example, to test whether the program improves outcomes). In these models can be used to assess the effectiveness of Instructional Technology (e.g., how much time should be spent in each class) and to determine which instructional strategies work best under what conditions (e.g., what type).
Copyright © 2023–2025 ICST
