Research on Development of Physical Fitness in Physical Education Teaching

Sun, Yuan

doi:10.2174/1874110x01509011856

Cited by 3 publications

(3 citation statements)

References 11 publications

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“…The explanatory role of cognition is more important in studies on sources of control. Physical exercise has a significant positive correlation with the dimensions of internal control type (Lynn et al, 1969 ), and regular participation in extracurricular physical exercise helps to increase the level of core self-evaluation, while students with high core self-evaluation may be more inclined to regard academic stress as a challenge rather than a threat, and when experiencing stressful setbacks can produce a more positive state of mind to face the stress, and the corresponding depression or somatic symptoms will be lower, and they are able to maintain a higher level of psychological resilience to stress that alleviated their negative feelings about academic stress, which in turn helped to reduce academic stress (Sun, 2015 ). The role of regulation is more important in studies of emotional stabilization.…”

Section: Discussionmentioning

confidence: 99%

An analysis of the role of college students' core self-evaluation in the relationship between extracurricular physical exercise and academic stress

Zhu,

Cao,

Yin

et al. 2024

Front. Psychol.

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ObjectiveTo explore the role of college students' core self-evaluation in the association between extracurricular physical exercise and academic stress, and to provide a reference and basis for effectively alleviating current college students' academic stress.MethodsA stratified cluster random sampling method was used to conduct an online survey using the China College Student Mental Health Screening Scale, the Core Self-Esteem Scale, and a self-developed questionnaire for 1,249 college students from 8 junior colleges in Jiangsu Province, China, in January 2023, and analyses were conducted using bivariate correlation and mediation effect tests.ResultsMore than half of the students were worried about lagging behind other students in their studies and worrying about exams, as well as more than half of the students had <2 h of extracurricular physical exercise per week in terms of academic stress. Significant correlations were found between extracurricular physical exercise time and core self-evaluation (r = 0.225, p < 0.01), academic stress (r = −0.317, p < 0.01), and between core self-evaluation and academic stress (r =−0.371, p < 0.01). Extracurricular physical exercise had a negative predictive effect on academic stress (effect = −0.306, 95%CI: −0.361~-0.251) and partially through the mediating path of core self-evaluation, (effect = −0.067, 95%CI: −0.091~-0.046), with a mediating effect of 21.9%. Among them, the mediating effect of core self-evaluation was highest in “worrying about lagging behind other students in their studies” and “worrying about exams”, which accounted for 24.4% and 24.3% respectively.ConclusionCurrently, college students have different degrees of academic stress; extracurricular physical exercise can reduce academic stress through direct effects, and also through the indirect effect of improving the level of core self-evaluation, and active extracurricular physical exercise has become an important way to promote students' physical and mental health.

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Section: Discussionmentioning

confidence: 99%

An analysis of the role of college students' core self-evaluation in the relationship between extracurricular physical exercise and academic stress

Zhu,

Cao,

Yin

et al. 2024

Front. Psychol.

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“…The teaching of various subjects depends upon the teaching tools and resources in classrooms such as audio and visual aids, which makes the teaching more effective (Salami, 2011). Management of the different unrealistic aspects is the key ability of a teacher to express in a shape of visual aids and verbal reports, while it enables the process of teaching easy, stable and entertaining, which is a complicated task (Sun, 2015).In the contemporary age everyone particularly teacher is facing or the victim of stresses such as competitions, domestic issues, violence and environment, but seeking pleasure and ignorance as well as avoiding pain is the inborn tendency of human (Cakir, 2006). Facing of the un-pleasure situation and remain happy are being possible through coping strategies.…”

Section: Discussionmentioning

confidence: 99%

Untitled

2020

GESR

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“…Optical results are more accurate, but they are expensive and take a long time to process. In recent years, new technology is constantly emerging, based on accelerometer and gyroscope, magnetometer inertial measurement technology, but the technology of professional equipment dependence is stronger, so it will affect athletic performance and its expensive [ 6 , 7 ] more than the traditional methods used in the professional training of competitive sports; the training demand is high, needs to spend a lot of human resources, and realizes intelligent training of professional sports.…”

Section: Introductionmentioning

confidence: 99%

Research on the Effectiveness of Probabilistic Stochastic Convolution Neural Network Algorithm in Physical Education Teaching Evaluation

Wei

2022

Computational Intelligence and Neuroscience

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In practice, PE teaching evaluation based on probabilistic convolutional neural network still faces some practical problems. At present, the existing research mainly focuses on how to improve the accuracy of PE (physical education) teaching evaluation, but ignores the balance between accuracy and speed of the model, which is the key to achieve efficient PE teaching estimation. Aiming at the problem of optimization contradiction existing in the traditional probabilistic stochastic convolution neural network regression method, a position adaptive probabilistic stochastic convolution neural network regression method was proposed. Firstly, the basic principle of probabilistic and random convolution neural network regression method is given. Secondly, the contradiction and reasons between hot trial regression and coordinated regression are analyzed. It is found that the process heat will return to the optimization with irreconcilable contradiction with the coordinates due to the lack of learning parameters when the hot trial transforms the coordinates. The optimization contradiction will make the model tonot obtain the exact coordinates of the nodes. Then, based on the above analysis, the learnable parameters are introduced into the Softmax function, and the position adaptive Softmax model is proposed. Combining the model with the probabilistic stochastic convolution neural network regression method, the position adaptive probabilistic stochastic convolution neural network integral regression method is obtained. In order to reduce the training cost of this method, a simplified training strategy is proposed. Finally, the simulation software MATLAB is used for verification, and the functions of sample maintenance, probabilistic stochastic convolution neural network training, and neural network evaluation are realized. The experimental data show that the probabilistic stochastic convolutional neural network is feasible for teaching quality evaluation, meets the accuracy requirements, and indeed provides a convenient and practical tool for PE teaching quality evaluation.

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Research on Development of Physical Fitness in Physical Education Teaching

Cited by 3 publications

References 11 publications

An analysis of the role of college students' core self-evaluation in the relationship between extracurricular physical exercise and academic stress

An analysis of the role of college students' core self-evaluation in the relationship between extracurricular physical exercise and academic stress

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Research on the Effectiveness of Probabilistic Stochastic Convolution Neural Network Algorithm in Physical Education Teaching Evaluation

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