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Sports Training Teaching Device Based on Big Data and Cloud Computing.

Gexin Chao¹, Wu Gang²

¹Langfang Normal College, Langfang, Hebei 065000, China.

Journal of Healthcare Engineering

|October 5, 2021

Summary

Big data (BD) and cloud computing enhance sports training by addressing traditional teaching challenges. This technology-driven approach improves physical training efficiency and outcomes.

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Area of Science:

Sports Science
Educational Technology
Data Science

Background:

The increasing demand for information and technology necessitates modernizing traditional physical training methods.
Internet and cloud computing technologies are transforming distance education and sports training delivery.
Traditional sports training models face limitations in meeting contemporary educational and performance standards.

Purpose of the Study:

To investigate the application of big data (BD) and cloud computing in developing innovative sports training devices.
To enhance the quality of national sports training through technological integration.
To address specific issues in sports training, such as those identified in swimming.

Main Methods:

Utilized questionnaire surveys to gather insights into user-identified problems.
Employed experimental analysis, data analysis, and statistical methods for in-depth research.
Designed a sports training device using swimming as a case study.

Main Results:

Identified common issues in swimming, with 52% reporting ear water and itching.
Experimental studies demonstrated the effectiveness of integrating BD and cloud computing.
The developed approach successfully addressed limitations of traditional teaching models.

Conclusions:

Big data and cloud computing offer effective solutions for modernizing sports training.
Technological integration leads to more efficient and rapid development in physical education.
The study provides a framework for improving sports training quality through data-driven and cloud-based systems.