The Components of Smart Sports in Universities with the Assistance of Smart Devices

Abstract

With the continuous maturity of information technology, the cause of intelligent sports continues to innovate and develop. By comparing and analyzing the relevant contents of intelligent sports and traditional sports in colleges and universities, this paper fully demonstrates the unique advantages brought by the development of concepts, basic technologies, educational resources, and intelligent applications in colleges and universities under the construction of intelligent sports and provides a feasible basis for the extensive development of intelligent sports. In order to solve the problems of multiparty data collection, equipment availability, and accuracy of knowledge formation caused by the interdisciplinary nature of sports science, it is necessary to establish an integrated system that can effectively support sports information analysis. In this paper, we propose an intelligent sports information analysis system architecture supported by SmartDev technology, design and implement the SmartDev intelligent sports information analysis system and apply it to university sports training. The practical results show that the use of this system can support multisource data collection, high accuracy of analysis results, and availability of equipment, which is beneficial to the development of sports.

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1. Introduction

In today’s popular development of data and information technology, the integration and innovation of science and technology and all walks of life has become an inevitable product of rapid social progress [1]. With the proposal of the “Healthy China 2030” national plan, sports have been elevated to an important development position, and new concepts such as smart sports cities have become the core driving force for the innovation and development of the national sports field [2]. Therefore, in the face of the declining physical health of young students year by year, the reform of physical education in colleges and universities is imminent. On this occasion, the collision of science and technology and physical education has produced a new situation. The rise of smart sports is a new atmosphere of teaching theory and teaching practice in colleges and universities, and it is an unprecedented profound revolution. Under the specificity of physical education focusing on experience and strong practice, the “smart education” and “traditional education” of college sports form a sharp contrast, compare, and analyze the differences in relevant elements in the teaching process of the two and highlight the advantages of intelligent physical education. Retaining the characteristics of traditional physical education can provide diversified ideas for the ever-changing physical education reform, and also provide a theoretical basis for building a personalized teaching model that students like and hear [3].

With the development of society and technology, the awareness of innovation has also been raised to new heights. In the “Thirteenth Five-Year Plan” for Education Informatization issued by the Ministry of Education in 2016, it is clearly proposed to promote the in-depth integration of management informatization and education and teaching innovation, so that the potential of informatization can be fully released, and the level of government public services can be improved to promote the modernization of educational governance capabilities [4]. On April 6, 2017, Minister Chen Baosheng of the Ministry of Education emphasized in the teleconference on deepening the reform of “delegating power, delegating power, regulating services” in the field of higher education and stressing that colleges and universities should optimize services as a booster to promote reform, relying on smart equipment, “Internet +”, etc. Modern science and technology provide high-quality, efficient, and convenient public services for universities, teachers, and students [5]. In the same year, the “13th Five-Year Plan for Promoting Equalization of Basic Public Services” issued by the State Council also emphasized the construction of education informatization, encouraged the exploration and development of network-based education models, and accelerated the construction and application of public platforms for educational resources [6]. In the report of the 19th National Congress of the Communist Party of China, General Secretary Xi emphasized the implementation of new development concepts and proposed to promote the effective integration and innovation of the Internet, smart equipment and real industry economic undertakings, and promote national modernization. The Political Bureau of the Central Committee of the Communist Party of China pointed out in the second collective study and speech that it is necessary to adhere to the problem orientation and promote the popularization and application of intelligent equipment in the fields of education, medicine, and health [7]. Our country and society are in a period of transformation. With the rapid development of information technology, data and information have penetrated into all aspects of life, flooded into the entire society, and affected all areas of society. At the beginning of 2020, the sudden outbreak of the new coronavirus put a brake on the rapid development of China, making people deeply aware of the importance of health. All over the country, people have been quarantined at home to fight the epidemic, and the spread of the epidemic has also had a profound impact. And changing the development of society, online office, online education, home fitness, etc., have become the normal life of people, and some online office software, fitness APP, self-media platforms, etc., have also developed rapidly like a tide. During home isolation, physical exercise, lack of sports, and people’s reunderstanding of health under the epidemic have prompted a large number of people to pay attention to physical exercise, and people’s demand for sports information services is also increasing [8].

As the ivory tower of education, colleges, and universities are responsible for the mission of quality education for college students. Physical and mental health is the foundation of human and social development. One of the main missions of school sports is to enhance the physical fitness of students and promote the development of students’ physical and mental health. College students, as a member of society, develop good sports habits before entering the society, and form a lifelong sports awareness, which plays an important role in their future healthy development. In recent years, the physical health of students in our country has become a common concern of schools and society, especially the physical health of college students is worrying. It can be said that the short board of physical health of Chinese students has moved up to the college students, which is an issue that urgently needs to be highly concerned by higher education, because it has seriously affected the overall promotion of the construction of a healthy China [9]. In order to promote students to participate in physical exercise, brutalize their physique, and solve the stubborn disease of college students, the country has also made great efforts. From top to bottom, the State Council, the Ministry of Education, and the General Administration of Sports of the People’s Republic of China have taken some measures and issued a series of corresponding policies, such as the “Notice on Several Opinions on Further Strengthening School Sports Work” issued by the General Office of the State Council [10], “Opinions on Strengthening School Physical Education to Promote Students’ Physical and Mental Health and All-round Development” [11], the “Basic Standards for Physical Education in Colleges and Universities” [12], and the “Guidelines for Health Education in Ordinary Colleges and Universities” [13] issued by the Ministry of Education. Design, ensure physical education hours, strengthen the strength of the teaching staff, improve the construction of venues and facilities, and strengthen a series of measures such as extracurricular physical exercise to promote physical exercise of college students and strengthen their physique.

In recent years, colleges and universities have adopted a series of corresponding measures such as “campus marathon”, “healthy running”, “sports festival”, and so on in light of the actual situation to attract students to participate in sports, so as to achieve the purpose of “strengthening their muscles and improving their physique” [14]. With the rapid combination and popularization of mobile communication and the Internet, people have invented new media technologies and smart products and equipment using smart phones and tablet computers as mobile terminals, which have brought earth-shaking changes to the way people live, communicate, work, and study. Nowadays, college students have almost one smartphone or tablet computer, and it has become more convenient to obtain information. Basically, they can use new media technology to obtain information that can effectively help improve their knowledge through these devices and products. It is not surprising that college students use sports bracelets, smart watches, sports APPs, and other technological products in their daily sports [15]. Life and other aspects have also introduced more convenient and high-quality services to students [16].

At present, smart devices have been well used in finance, education, medical care, and other fields, which also provide new ideas for college sports. The demand for information is increasing day by day, and the way college students obtain sports information services has also changed. How to use the functions of smart devices to innovate the supply of sports information services in colleges and universities, and better serve the physical health of college students, the reform and development of sports information services in colleges and universities cannot be ignored.

2. Related Work

Research on the allocation of sports information resources in colleges and universities and the development and utilization of information services found that the level of information networking in various colleges and universities is still very unbalanced, the speed of information update is slow, the connection of information service processes is not close, and the effective utilization of information resources and services is partial. Low, the sports information resource system is relatively independent, and there are problems such as negligence in management and service. It is believed that college sports information services should seize the opportunity of vigorous development of college campus network construction, strengthen the construction of sports information service resources, establish a college sports information service system, and make full use of it. Modern means, strive to improve sports informatization services, and meet the sports information needs of teachers and students as much as possible [17].

The connotation, characteristics, and functions of the college sports network information service platform are explained through the methods of literature and expert interviews. As a university with a relatively mature network construction, it should take full advantage of this advantage and take the lead in building an open sports network information platform to realize the coconstruction and sharing of sports information resources, so that anyone on the computer terminal can fully understand sports anytime, anywhere. The dynamics of the network platform can obtain all kinds of information that you need. It is suggested that colleges and universities should ensure the integrity of the construction content of the college sports network information service platform from the aspects of material guarantee, technical guidance, policy orientation, organizational management, and information exchange [18].

It is considered that the establishment of a college sports network information platform covering the functions of student user health information collection, health information guidance, and sports theory teaching with the network as a carrier not only makes up for the lack of theoretical knowledge in college sports teaching but also satisfies the desire of contemporary college students to learn theoretical sports knowledge and guide classroom practice [19]. The establishment and improvement of the network information platform also plays an important role in the research on the physical health of college students. In addition, for college physical education teachers, the establishment and operation of this system can easily help complete theoretical education, which is beneficial to the improvement of education quality.

It is believed that, in the new environment, the sports network information construction in China’s universities is developing rapidly, but it also faces opportunities and challenges [20]. It is suggested to pay more attention to the establishment of sports network information, to develop software, to carry out sports digital construction, to make full use of campus sports information resources, and to put the physical space and digital space of sports information into practice. And it is necessary to make more efforts in the way and process of sports information dissemination, only in this way can the quality of sports network information service and the level of sports modernization be improved.

By studying the types and status quo of sports information resources, and analyzing the feasibility and necessity of building a sports information service platform, it is believed that the functions of sports colleges building a sports information service platform should cover sports materials, sports talent information, event materials, sports literature and history materials, sports organizations, policies and regulations, sports news, school physical education, fitness guidance, sports exchange communities, foreign sports boutique libraries, etc. Sports colleges can combine school advantages and integrate their own characteristics to maximize the use of sports resources and information [21].

By browsing the websites of 20 colleges and universities in Fujian Province, interviewing and distributing questionnaires to relevant personnel, the study pointed out that most colleges and universities in Fujian Province have opened sports network information. More than 70% of the schools have part-time staff to maintain and manage sports network information services, and most of them are nonprofessional computer professionals and understand the students’ exercise situation; the vast majority of experts believe that it is necessary for colleges and universities to establish a sports information service evaluation system. It is suggested that college sports leaders should pay attention to the construction of sports informatization, strengthen personnel training, conduct network technology training for physical education teachers, and cultivate compound talents with better physical education and network technology [22].

A university gymnasium information management system was developed. In the university gymnasium information management system, management functions, including staff management, customer management, venue management, cost management, and system management, were integrated and all of these functions were incorporated into the system [23]. It realizes the transmission and sharing of data and information, optimizes the overall process of the information management system of college gymnasiums, and realizes the goal of daily information management of college gymnasiums. In addition, the system can utilize its open interface to integrate the management system with other universities. The application of the information management system has effectively improved the management efficiency of the gymnasium.

The research believes that the establishment of information management system to manage the university sports team can provide support for the daily training management of coaches and provide a basis for quantitative analysis of athletes’ training load, which can comprehensively improve the comprehensive quality and training level of athletes and improve the overall level of the university sports team [24].

Using the methods of literature and Delphi, by studying the websites of sports related departments of the top 30 colleges and universities published by the Ministry of education in 2012, the evaluation index system of sports network information service quality of ordinary colleges and universities is constructed by using the analytic hierarchy process, and the weight of each index is determined. The four first-class indicators of the system include campus sports network resources, campus sports office automation system, campus sports portal, and campus sports network information.

To sum up, in terms of the constituent elements of college sports, researchers have studied the resource allocation and network level of college sports information, and some researchers have also conducted research on college sports information service platforms, sports network informatization construction, and sports network information service quality. The evaluation has been expounded and investigated, and some researchers have discussed the information management of college gymnasiums and sports teams. However, there is no in-depth and comprehensive research on the constituent elements of college sports, how to supply college sports information services, what are the influencing factors, what is the specific situation of the demand side of college sports information services, and under the new technical background how to develop these requires further research.

3. Strategies

With the innovation and development of sports work in colleges and universities, intelligent equipment software is widely used, which provides great convenience for the development of teaching. In terms of regular teaching, wearable devices and various sports APPs have matured, and physical education teachers can grasp the first-hand data of students’ physical changes during the learning process. For example, when carrying out martial arts teaching, teachers use the smart platform to monitor the heart rate and muscle changes of students wearing devices during each stage of learning martial arts. In terms of extracurricular expansion, the contradiction between the limited physical education time in colleges and universities and the unsatisfied needs of students for sports often exists. The emergence of intelligent systems can effectively alleviate the intensification of this contradiction. For example, teachers use the sports information platform to send notifications on the opening and usage of various sports venues, so that students can plan the time scientifically and reasonably, avoid peak hours, and carry out physical exercise under the best conditions. In terms of teaching evaluation, compared with the subjective and general nature of traditional evaluation forms, the application of intelligent systems is more objective and refined. For example, the intelligent sports monitor generates dynamic scores for students after exercising and automatically generates data comparisons to quantify the sports learning process, so that the students’ sports conditions can be clearly displayed in front of teachers, and teachers can also customize or adjust their personalities for students through teaching content. In a word, smart sports in colleges and universities use information technology to carry out collaborative teaching, making it more efficient and scientific.

Smart sport is a model of the integrated development of sports and technology. The development of the Artificial Intelligence Internet of Things (SmartDev) industry has promoted the construction of smart sports. Multidimensional and massive data are generated and collected through Internet of Things devices such as sports equipment and sports environment, stored at the edge and in the cloud, and then calculated and analyzed through artificial intelligence and big data, to realize a smart sports ecosystem where everything is digitized and intelligently connected. The emergence of SmartDev technology in the field of sports has led to the emergence of innovative applications, which can be applied to different sports subjects, transform traditional sports data from all parties, and play an active role in monitoring, management, analysis, and statistics. Strategic technical support for “smart sports” based on SmartDev faces many challenges and topics. The existing applications and researches cover all aspects of sports, such as health status measurement, sports information management, and stadium environment construction. Its essence is to revolve around data, with informatization as the fundamental carrier, and consists of a basic layer that collects sports information as the core, a data layer that conducts and analyzes massive sports data as the core, and a display layer that expresses the results of sports data analysis to the audience. In order to promote the research of smart sports based on SmartDev, an integrated system that can effectively support sports information analysis is an indispensable part. The integrated system covers the collection, presentation, integration, storage, and computational analysis of sports information.

This paper designs and implements a smart sports information analysis system based on SmartDev and takes college sports training as an example to apply SmartDev technology to the challenge of precise sports. The challenges include data collection, accuracy and availability of IoT data transmission, and analysis and validation of AI models.

3.1. Smart Sports Information Analysis System

3.1.1. SmartDev Components

The relationship between things, data, processes, and interaction components is shown in Figure 1.

[figure(s) omitted; refer to PDF]

SmartDev is a collaborative application of artificial intelligence and the Internet of Things. It realizes real-time information collection through the sensors of the IoT system and performs intelligent data analysis on the terminal, edge or cloud, and finally forms an intelligent ecosystem. Things, data, processes, and interactions are the core elements of SmartDev. Around the core elements, SmartDev is classified horizontally and vertically from the three characteristics of intelligence capability, coverage, and complexity. Among them, the intelligent ability level in the vertical classification is gradually improved from the five levels of dissemination, aggregation, processing, identification, and decision-making. In horizontal classification, object complexity levels include individuals, objects, and containers. The system complexity level includes embedded platform, general service platform, and distributed service platform. The coverage of network infrastructure is divided into local area network, homogeneous Internet, and cross-domain Internet. The horizontal and vertical grading according to SmartDev features improves the application level. The outermost closed loop is the component of SmartDev, which is described as follows:

(i) Platform: a SmartDev platform that integrates system integrators, service providers, consulting companies, etc., to integrate infrastructure services, productivity platforms, operation platforms, and analysis platforms for governments, companies, enterprises, and businesses

(ii) Applications: applications in vertical industries such as home, transportation, logistics, food, agriculture, health, retail, etc.

(iii) Technology: including M2M, radio frequency identification, wireless sensor network, body area network, intelligent system, etc.

(iv) Connections: such as universal connections between system monitoring, scheduling, system dashboards, security controls, early warning, and reporting

(v) Driving force: Web2.0, cloud computing, fog computing, edge computing, XML, SensorML, SOA, Spark, Hadoop, TensorFlow, Pytorch, etc.

(vi) Facilities: equipment categories include sensors, servers, mobile devices, controllers, and terminals, etc., network topologies such as wireless Internet and management based on Web integration and remote control, as well as AI chips, etc.

3.1.2. System Architecture

In order to adapt to various sports projects, this paper designs a 4-layer architecture of the smart sports information analysis system, as shown in Figure 2.

[figure(s) omitted; refer to PDF]

The bottom perception layer is the most important layer in the entire architecture, including various sensors, whether it is sports equipment or equipment worn by sports people. It is common to attach sensors, such as electromyography (EMG), electrocardiogram (ECG), brain waves (EEG), pulse oximeters, blood pressure, pedometers, and thermometers to belts, armbands, or gloves, during competitions and practice. During this period, it is used to measure the physical condition of the user. Other sensors, such as force sensors, accelerometers, piezoelectric vibrations, pressure sensors, shock sensors, tilt sensors, and sound detectors, will be placed in sports equipment such as baseball bats and tennis rackets. Inputs are taken from devices and sensors attached to the athlete’s body, transmitting data through the network layer. Near Field Communication (NFC) technology exchanges data in close proximity to each other, providing sensors with unique IDs and device integration. Infrared Connection Technology (IrDA) specifies a complete set of protocols for communicating via infrared signals. Zigbee is an advanced communication protocol based on IEEE 802.1.5.4 for creating Personal Area Networks (PANs). The network is constructed from small, low-power digital radios with a range of 10-10,000 meters. The Dash7 Alliance protocol defines all ISO18000-7 compliant technical specifications as RFID tags, applicable to all functions in RFID tag applications, and extends to the field of non-RFID applications-sensor technology. The above sensors and related sensing technologies constitute the perception layer, which is a key part of information collection.

3.2. System Design and Deployment

Based on the smart sports architecture, a SmartDev-based smart sports information analysis system is designed. The deployment of the whole system is shown in Figure 3.

[figure(s) omitted; refer to PDF]

Based on data from IoT sensors, 3D modeling tools, artificial intelligence, and big data analysis, the SmartDev smart sports information analysis system consists of two parts: the system itself and SmartDev edge computing. The system includes facilities to integrate and manage high-performance cloud computing resources, data collection, integration and management, artificial intelligence and deep learning, 3D modeling, and motion applications. Obtain blood oxygen and ECG data through the bracelet, and the camera collects human motion posture data. Data can be transmitted, stored, and analyzed in real time. As shown in Figure 4, the collected multisource data is preprocessed; for the feature extraction work with the processed motion signal, ECG, blood oxygen, etc., the weighted feature selection CVFS method is used to select the multisource information fusion feature. The classification accuracy participates in the processing of the weight of the feature, improves the generalization ability of the feature, and effectively improves the accuracy of the feature weight value. Among them, a lightweight model OpenPose is used for the processing of human motion signal data to obtain bone point positioning, and the cosine angle data of the line connecting the positioning points is calculated to help determine the accuracy of the action.

[figure(s) omitted; refer to PDF]

4. Case Study

The level of information services provided by colleges and universities is affected by factors such as resource allocation and policy environment to different degrees. Classifying and refining the factors influencing the application of intelligent devices in the sports section of colleges and universities can help to indicate the direction and path for the development of the sports section of colleges and universities in the context of intelligent devices.

Through a questionnaire survey of teachers with different teaching ages and titles, the seven aspects of policy factors, economic factors, human resources, technical factors, safety and security, communication media, and user needs were taken as independent variables by using the statistical method of multiple linear regression. The influence on the elements of physical education in general colleges and universities” is the dependent variable to explore the degree of influence of these factors on the application of intelligent equipment in the elements of physical education in general colleges and universities. The results in Table 1 show that $F=10.430$ and $P=0.000<0.01$, which means that 7 independent variables can significantly affect the dependent variable, and the existence of this regression analysis is very meaningful; the results in Table 2 show that $R^2=0.801$, adjusted $R^2=0.726$, which means that the 7 independent variables introduced in this regression analysis can explain 72.5% of the “influence degree of smart equipment on the application of sports components in ordinary colleges and universities”; the summary results of the regression coefficients are shown in Table 3.

Table 1

Smart device in the supply of sports information services in colleges to apply influence factors regression analysis.

	Squares	$df$	Square	$F$	$P$
Regression	4.936	7	0.704	10.430	0.000
Residual	1.218	18	0.068
Total	6.155	25

Table 2

Table on the fit of smart device in the supply of sports information services in colleges.

$R^2$	Adjust $R^2$	Error of standard estimation
0.801	0.726	0.260

Table 3

Summary of factor regression factors applied by smart device in the supply of sports information services in colleges.

Model	Standardization coefficient	$t$	$P$	$\text{VIF}$
(constant)		3.465	0.002
Policy factors	0.446	3.674	0.003	2.958
Economic factors	0.425	2.65	0.016	3.580
Human resources	0.414	1.588	0.011	3.254
Technical factors	0.432	1.721	0.003	3.018
Security assurance	0.427	3.547	0.002	2.952
Media	0.366	0.16	0.032	4.312
User demand	0.314	0.742	0.027	3.732

The results in Table 3 show that the $\text{VIF}$ values of policy factors, economic factors, human resources, technical factors, security, media, and user needs are all less than 5, and there is no multicollinearity among the independent variables. The results are reliable, policy factors, economic factors, human resources, technical factors, security, and media. The $P$ values of user demand are 0.003, 0.016, 0.011, 0.003, 0.002, 0.032, and 0.027, all of which are less than 0.05, indicating that several variables can significantly affect the application of smart devices in college sports components. Arrange these factors in descending order of significance, namely policy factor 0.446, technical factor 0.432, safety guarantee 0.427, economic factor 0.425, human resources 0.414, media 0.366, and user demand 0.314, as shown in Figure 5.

[figure(s) omitted; refer to PDF]

Policies generally have the functions of management, guidance, regulation, and distribution and are the basis for the smooth development of college sports constituent elements. The support of policies can lay the keynote for the application of smart devices in college sports constituent elements. Whether college sports constituent elements can move forward and develop sustainably requires the protection of policies. The formulation of policy protection measures is also an important guarantee for its regulation function. The upper limit of the development of sports components depends on policy dividends and the efforts of the supply side, but the lower limit must rely on policy protection to ensure the survival of sports components in colleges.

Sports information service under the background of smart devices is an activity that relies on network technology, integrates data information, and uses information resources to provide users with convenient services in a relatively open network environment. The complexity and privacy of the network environment have higher requirements for security, which includes the degree of development and openness of the database, as well as the security awareness of the relevant personnel. The database is like a container of information service software, which is used to read, store, and manage software data. Its quality will directly affect the efficiency of software development. Of course, the openness of the database also needs attention. In addition, the specific level of the constituent elements needs to be provided by people, and people’s consciousness is subjective. Whether it is the developer of the information service database or the provider of the college sports information service, it is necessary to impose necessary constraints on it to improve safety awareness. It is more conducive to ensuring the safety of components.

As a link between the supply and demand sides of information services, the media can transmit relevant information services to users on the demand side. On the other hand, it can also feedback some conditions on the demand side to the supply side. The feedback is the composition of college sports. Element-side smart device analysis provides data support.

The application of smart devices in people’s work, life, entertainment, etc., is not uncommon. The smart device functions of smart phone APPs, smart watches, and other devices have also brought many convenience and novel experiences to college students’ learning and sports. Effectively help college students improve their quality of life and study efficiency. In this regard, colleges can formulate scientific, reasonable, and consistent policies according to their own reality and the existing national policies, so as to provide position support for the constituent elements of college sports; by strengthening economic security and the use of human resources, selecting appropriate media and providing high-quality sports information services to disseminate sports knowledge.

Under the background of smart equipment, the analysis of the satisfaction of college students to the constituent elements of school sports is as follows:

As shown in Figure 6, 6.5% of the college students expressed complete satisfaction with the school sports information service, and 45.7% of the college students believed that they were basically satisfied, and the combined proportion of the two was 52.2%; 24.8% of college students held a neutral attitude and felt that they were average; 18.9% of college students said they were basically dissatisfied; in addition, 4.1% of college students felt that the sports information services provided by the school could not meet their daily needs at all. Students are not particularly optimistic about the satisfaction of the sports information services provided by the school, only more than half of them feel satisfied.

[figure(s) omitted; refer to PDF]

Due to different personal circumstances, the degree of satisfaction of college students’ daily needs for sports information services may be affected. The degree of satisfaction of college students’ daily needs for sports information services was taken as the dependent variable, and the four variables of gender, grade, frequency of self-exercise, and duration of self-exercise were used as independent variables, and the Kendall correlation coefficient was analyzed. The results summarized in Table 4 show that the variable “grade” $P=0.011<0.05$, and the Kendall correlation coefficient is -0.069, indicating that there are significant differences in the degree of satisfaction of college students’ daily sports information service needs among grades, and there is a negative correlation. The variable “frequency of self-exercise”, $P=0.000<0.01$, and the Kendall correlation coefficient is 0.099, indicating that the degree of satisfaction of college students’ daily sports information service needs varies significantly due to the frequency of self-exercise, and there is a positive correlation.

(i) Satisfaction analysis of college students in general colleges and universities in Xi’an on the components of school sports under the background of smart equipment

Table 4

Correlation analysis of the daily demand satisfaction of sports information services for college students in different situations.

Variable	Kendall correlation coefficient	$P$ value (bilateral)
Gender	0.001	0.943
Grade	-0.068${}^{\ast }$	0.012
Frequency of autonomous exercise	0.498${}^{\ast \ast }$	0.000
Self-exercise duration	0.025	0.430

Aiming at the research on the satisfaction of sports components in colleges and universities, the article mainly studies from the two dimensions of supply content and supply way, using the statistical methods of one-way analysis of variance and independent sample $T$-test to analyze the differences between these two dimensions in different genders and grades. The specific situation between exercise frequency and exercise time finds out the differences between them, so as to improve the service quality of college sports information supply side in a targeted manner.

One-way ANOVA, which is mainly used to compare whether there is a difference in means between completely random groups, is similar to the independent sample $T$-test, but it is only suitable for comparing the difference between two factors.

(ii) Satisfaction analysis of college students of different genders with the components of school sports

Table 5 shows the results of the $T$-test. If $P$ is greater than 0.05, it means that the variances are equal and homogeneous; if $P$ is less than 0.05, you need to look at the second line of data in the $T$-test for the mean equation. It can be seen that $P=0.860>0.05$ of the Levene test of the variance equation of the satisfaction of supply content, and $P=0.044<0.05$ of the $T$-test result, indicating that there is a difference in the satisfaction of the supply content of male and female college students. The mean of satisfaction is 3.41, which is lower than 3.55 of female college students. According to the analysis, male college students in colleges participate in a stronger atmosphere of physical exercise and socialize more frequently, which may lead to a richer content demand for sports information services, which may cause differences. The mean of the satisfaction of the supply route is 3.61 and 3.54 for male and female college students, respectively, but the variance equation Levene test shows $P=0.007<0.05$. It is necessary to look at the data in the second row of the T-test results. The test results are also in line with the reality. The supply channels will not be special for male or female college students, so there will be no difference. See Tables 7 and 8.

Table 5

Analysis of gender differences in supply satisfaction between dimensions ($T$-test).

		Levene test		$T$-test
		$F$	$P$	$t$	$df$	$P$
Supply content satisfaction	Assume equal variance	0.031	0.860	1.615	1829	0.044
	Assume unequal variances			1.635	1732.632	0.040
Supply route satisfaction	Assume equal variance	7.154	0.007	1.678	1828	0.092
	Assume unequal variances			1.705	1739.992	0.088

Table 6

Comparison of supply satisfaction between different dimensions and genders.

	Gender	Mean value	Standard deviation
Supply content satisfaction	Male	3.41	1.010
	Female	3.55	0.943
Supply route satisfaction	Male	3.61	0.975
	Female	3.54	0.900

Table 7

Comparison of supply satisfaction between different dimensions and exercise time.

	Exercise time	Mean value	Standard deviation
Supply content satisfaction	Within 30 minutes	3.61	1.016
	More than 30 minutes	3.55	0.958
Supply route satisfaction	Within 30 minutes	3.61	0.953
	More than 30 minutes	3.59	0.942

Table 8

Analysis of differences between supply satisfaction and exercise time in different dimensions ($T$-test).

		Levene test		$T$-test
		$F$	$P$	$t$	$df$	$P$
Supply content satisfaction	Assume equal variance	1.835	0.177	1.368	1829	0.173
	Assume unequal variances			1.357	1745.516	0.174
Supply route satisfaction	Assume equal variance	0.028	0.864	-0.505	1829	0.615
	Assume unequal variances			-0.504	1965.472	0.615

The average value of the satisfaction of the content of the components and the satisfaction of the supply route is slightly higher than that of those with more than 30 minutes, but there is no statistical difference.

We analyze the satisfaction of different grades of college students on the content of school sports components and supply channels. The results are shown in Table 9. The satisfaction of supply content $P=0.000<0.01$, and the satisfaction of supply channels $P=0.125>0.05$; there is a significant difference in satisfaction with the content of school sports components, but there is no difference in the satisfaction with supply channels; combined with Figure 7, it is found that the average satisfaction of freshman to senior students with the content of school sports information service is 3.75, 3.59, 3.54, and 3.41; the satisfaction of supply content decreases gradually with the increase of grade.

Table 9

Comparison of differences between grades of supply satisfaction in different dimensions (one-factor variance analysis).

		Sum	$df$	Mean	$F$	$P$
Supply content satisfaction	Intergroup	24.887	3	8.298	8.692	0.000
	In group	1743.98	1825	0.956
	Total	1767.859	1829
Supply route satisfaction	Intergroup	10.538	3	3.513	3.96	0.126
	In group	1623.832	1826	0.888
	Total	1634.375	1829

[figure(s) omitted; refer to PDF]

According to the analysis, different grades are affected by the school physical education teaching arrangement, and the demand for sports information service content will be different, so there may be differences in the content satisfaction of school physical education components; senior students may be less satisfied with the supply content. This is because the senior students have fewer physical education courses and more self-learning, and the content demand for sports information services may be more abundant and higher. Although the satisfaction of supply channels gradually decreases with the increase of grades, the access channels of sports information services provided by schools are unified and will not be differentiated according to grades, so the differences are not obvious.

5. Conclusion

At this stage, although the intellectual construction of colleges and universities is still immature, its teaching effect is still unknown to traditional sports. Under the guidance of the development concept based on basic technology, relying on educational resources, coordinating with intelligent application, and being a component of intelligent sports system, this paper puts forward new ideas and methods for the development of college sports in the future. Research on the influence of intelligent devices on intelligent motion elements has a far-reaching impact. With the help of the vigorous development of intelligent devices at this stage, this paper studies the main elements and theories of Intelligent Physical Education in colleges assisted by it and analyzes the actual cases and finds that the composition of the intelligent physical education system proposed in this paper is reasonable and effective.

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