The Train of Thought and Strategy of Chinese School Physical Education to Cultivate Unique Minority Students’ Motor Quotient in Yunnan

Zhu, Xuanjin; Li, Bao; Wang, Hangping; Zhao, Ningyuan

doi:10.4236/ape.2021.114039

Cited by 2 publications

(2 citation statements)

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“…Although it is possible to construct DBNs with relatively sparse connections, in general models, each unit in each layer is connected to each unit in each adjacent layer, and there is no connection within a layer. Te DBN can be constructed by sequentially stacking several restricted Boltzmann machines (RBMs); the learning process is divided into two stages, that is, the RBM is frstly pretrained layer-bylayer unsupervised and then the entire network is supervised by the back propagation algorithm [7]. Te structures of RBM and DBN are shown in Figure 2, respectively.…”

Section: Basic Model and Overview Of Deep Belief Networkmentioning

confidence: 99%

Optimization of Physical Education Course Resource Allocation Model Based on Deep Belief Network

Sun

2023

Mathematical Problems in Engineering

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In order to meet the optimization needs of physical education curriculum resource allocation, the author proposes a deep belief-based physical education curriculum resource allocation technology. The efficient feature abstraction and feature extraction capabilities of deep belief technology fully explore the interests and preferences of learners on course resources. Because deep belief has strong capabilities in feature detection and feature extraction, it has unique and efficient feature abstraction capabilities for different dimensional attributes of input data; the author proposes a DBN-MCPR model optimization method based on deep belief classification in the MOOC environment. Experimental results show that when the number of iterations reaches about 80, the RMSE of DBN-MCPR trained with the training dataset without learner feature vector is 77.94%, while the RMSE of DBN-MCPR trained with the dataset with learner feature vector is 77.01; DBN-MCPR with full eigenvectors tends to converge after about 40 iterations, while DBN-MCPR without learner eigenvectors starts to converge after about 15 iterations; this result is in line with the characteristics of the internal network structure of DBN. Conclusion. This application proves that the technical research based on deep belief can effectively meet the needs of the optimization of physical education curriculum resource allocation.

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Section: Basic Model and Overview Of Deep Belief Networkmentioning

confidence: 99%

Optimization of Physical Education Course Resource Allocation Model Based on Deep Belief Network

Sun

2023

Mathematical Problems in Engineering

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“…Persistence in physical exercise can enhance students’ physiques and hone their will, which is of great significance for students’ comprehensive development. This research plays a vital role in the study of students’ comprehensive quality under the scientific–educational concept of the relationship and role between students’ physical exercise and positive emotions [ 2 ].…”

Section: Introductionmentioning

confidence: 99%

The Effect of Persistence of Physical Exercise on the Positive Psychological Emotions of Primary School Students under the STEAM Education Concept

Yuan

Yang

et al. 2022

IJERPH

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The effect of persistence of physical exercise on the psychological and emotional aspects of primary school students is studied to improve the comprehensive quality of current Chinese primary school students and explore the effect of physical exercise on students’ emotions under the science, technology, engineering, art, mathematics (STEAM) education concept. First, students in a primary school in Nanchang are taken as the survey participants. Second, by formulating a physical exercise scale and a psychological and emotional scale, the current situation of physical exercise of primary school students is investigated by means of mathematical statistics. Finally, the current situation of physical exercise and the overall situation of positive psychological emotions of primary school students are analyzed, and the effect of physical exercise on the positive psychological emotions of primary school students is studied. The data show that there are significant differences in the amount of exercise and its three dimensions of intensity, time, and frequency, as well as the scores of positive emotions in the gender dimension, with the boys scoring higher than the girls. In terms of grades, students in grades 1, 2, and 6 are higher than students in grades 3, 4, and 5 on the level of a small amount of exercise, while students in grades 3, 4, and 5 are higher than the other three grades in terms of a moderate amount of exercise. Moreover, in the aspect of positive psychological emotions, the lower-grade students are obviously higher than the upper-grade students, and the second- and third-grade students present marginal significance, p = 0.058. The correlation and regression between physical exercise and positive psychological emotions are calculated and analyzed, and it is found that there is a significant positive correlation between physical exercise indicators and positive psychological emotions, with a correlation coefficient of 0.297. Physical exercise explains 8.8% of positive emotions. This research also makes relevant recommendations for students and schools and has played a role in strengthening the physical exercise and mental health of primary and secondary school students. Greater attention to the physical exercise of primary school students is recommended.

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The Train of Thought and Strategy of Chinese School Physical Education to Cultivate Unique Minority Students’ Motor Quotient in Yunnan

Cited by 2 publications

References 1 publication

Optimization of Physical Education Course Resource Allocation Model Based on Deep Belief Network

Optimization of Physical Education Course Resource Allocation Model Based on Deep Belief Network

The Effect of Persistence of Physical Exercise on the Positive Psychological Emotions of Primary School Students under the STEAM Education Concept

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