Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 9, Issue 1


Published
on

April 1, 2024


Pages


DOI

Article

Analysis of the psychological and physiological conditions of blockchain technology in college physical education

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Authors

Gang Cheng Affiliation:
Sports Department, Northwestern Polytechnical University, Xi’an, Shaanxi, 710072, China.


Abstract

Blockchain technology, with its decentralization, traceability, and immutability, offers promising solutions across various sectors, including education. This study explores the application of blockchain in enhancing the security and personalization of educational resource sharing within university physical education (PE). We ensure secure resource sharing by developing a blockchain-based model for PE resource distribution and refining the consensus algorithm. Our research involved a 10-week experiment with 80 university students, measuring changes in psychological factors (e.g., anxiety, depression) and physiological parameters (e.g., lung capacity). Results indicated a notable improvement in students’ psychological well-being, with anxiety and depression levels dropping by an average of 15%, and a significant enhancement in physiological health, evidenced by an average increase in lung capacity of 2.11±1.00 ml/kg. These findings underscore the potential of blockchain technology to elevate university PE teaching practices and positively impact student health, highlighting its significant applicability and future potential in educational contexts.


Keywords

Blockchain technology, College physical education, Physiological quality, Resource sharing, 68M01


Citation

Cheng, G. (2024). Analysis of the psychological and physiological conditions of blockchain technology in college physical education. Applied Mathematics and Nonlinear Sciences, 9(1). https://doi.org/10.2478/amns-2024-0831

Published by: Engineering Journals

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