# Influencing Factors of College Students’ Sports Cognition Based on DM Technology

Authors: Qingwen Pan
Journal: Security and Communication Networks
 (2022)

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## Abstract

College students are the pillars of the country’s future construction, shouldering the historical mission of building the motherland and rejuvenating the nation, forming a good habit of scientific exercise during school, and laying a good physical condition for social work in the future. When their life is more closely related to sports, they will have higher and more specific requirements for the use of sports. In college students’ sports cognition, the main influencing factors are to improve athletes’ competitive level. The most direct and effective way is to strengthen training. China’s DM technology is the concentrated expression of multidisciplinary knowledge, and the scope of technology is also relatively wide. At this stage, China’s DM technology adopts many extremely intuitive expressions to convey the beauty of technology. For example, the tree structure is a special expression of DM technology. This article studies the influencing factors of college students’ sports cognition based on data mining (DM) technology. What is more related to China’s DM technology is the unique regularization of the influencing factors of college students’ sports cognition. To a large extent, this trend is the data standard of China’s sports industry. It can be seen that China’s DM industry also has the characteristics of diversification. According to the characteristics of China’s DM technology, the current advanced expenses are enough to supplement the related technical weaknesses, and further technical strengthening can be carried out on this basis so that China’s DM technology will gradually develop towards specialization.


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## Body

## 1. Introduction

Modern college students have higher and higher requirements for the all-round development of their own quality. When their life is more closely related to sports, the requirements for the use of physical education will be higher and more specific. In college students’ sports cognition, the main influencing factor is strengthening training, which is the most direct and effective way to improve athletes’ competitive level [1]. In the tense leisure time of study and in the gap between study and exam, a small sports competition is organized by the class or students, which can not only regulate study, life rhythm, and harmonious mood and cultivate sentiment but also enable college students to have a positive rest, thus constantly changing the way of sports cognition and improving sports cognition ability in this process [2, 3]. College students are the future pillars of the country’s development, shouldering the historic task of constructing the motherland and revitalizing the nation, developing a healthy habit of scientific exercise while in school, and providing a sound physical foundation for future social service. People are no longer happy with the pursuit of material elements and instead turn to sports fitness, sports leisure, sports entertainment, and other aspects as their sports cognition improves [4]. Accurate statistical analysis findings may be acquired by deep mining and analysis of the data in the existing database, which can give data support for coaches to build training programmes, assess training quality, and alter on-the-fly strategies. Thinking performance in sports cognitive activities: thinking is an essential psychological aspect for comprehending information and abilities, and comprehension is the product of thinking activities; it is the most important psychological aspect in creative learning; the law of inner unity of thinking and perception provides a theoretical foundation for inner imitation of sports cognition; the law of mutual promotion between thinking and problems provides a theoretical foundation for internalisation of sports cognition; and the law of mutual promotion between thinking and problems provides a theoretical foundation for internalisation of sports cognition. Students’ sports cognitive capacity develops their ability to evaluate and solve issues while participating in sports, and it is a tangible application of the fact that thinking and problems progress each other [5, 6]. Therefore, the research on the influencing factors of college students’ sports cognition in higher vocational colleges is helpful in understanding the psychological performance of college students from subjective and objective aspects and in forming lifelong sports thoughts, which is of great practical significance. In the current training plan, the training content is mainly physical training such as strength, speed, and endurance, but there are serious deficiencies in targeted technical and tactical training, which cannot be evaluated by a perfect tactical evaluation system [7]. It can be seen that it has become particularly important to collect, count, and analyze the data of athletes in training and actual combat, formulate targeted training programs, and improve athletes’ competitive level through college students’ sports cognition [8, 9].With the in-depth development of modern computer technology such as database and DM, the field of sports has also been applied. China’s DM technology is a concentrated expression of multidisciplinary knowledge, and the technology covers a wide range. At this stage, China’s DM technology adopts many extremely intuitive expressions to convey the beauty of technology. For example, the tree structure is a special expression of DM technology. A large amount of data collection work is carried out for athletes’ personal growth and selection, daily training, and actual competition, and a variety of databases are summarized. Through the integration of influencing factors of college students’ sports cognition, these data are used for in-depth mining, sorting, and analysis to obtain potential laws so as to obtain valuable information for sports management departments, coaches athletes, and other parties provide scientific and effective reference data [10]. The development of China’s data and information technology shows the strength of China’s technology. At the same time, the data variables in the field of related technology mining also have a certain impact on China’s overall DM technology [11, 12]. For the current situation of DM, the general engineering technology needs to be improved and trained. With the support of a unified system, the relevant technical updates can further improve China’s DM technology [13].On the one hand, the DM-based influencing elements of college students’ sports cognition may be utilised as a basis for evaluating teaching quality, and on the other hand, it can be used as a decision-making foundation for teaching administrators to improve the teaching evaluation method. Through a unique data interface, the DM platform may exchange the student’s fundamental information with the teaching platform and import the required data into the DM platform. We should firmly grasp the educational characteristics and goals of the physical education discipline and endow various physical education learning methods such as practice, games, competitions, experiences, and insights into experiential, autonomous, cooperative, and exploratory characteristics on the basis of inheriting and utilising all the effective physical education learning methods discovered and invented by predecessors. Creativity is a kind of thinking skill as well. Problem resolution is often a synergistic blend of creative and recreative thought. Sports appreciation may give a stronger foundation for sports cognition by demonstrating creative thinking in creative practice activities.[14]. The data collection of influencing factors of college students’ sports cognition has obvious information characteristics. Compared with the traditional way of counting students’ scores by office software in teaching, big data technology pays more attention to integrating channel data such as teaching sensors and teaching management platforms. According to the characteristics of China’s DM technology, the current advanced expenses are enough to supplement the related technical weaknesses, and further technical strengthening can be carried out on this basis so that China’s DM technology will gradually develop towards specialization [15]. In addition, the unique regularity of influencing factors of college students’ sports cognition is closely related to China’s DM technology, and this trend is largely the data standard of China’s sports industry, which shows that China’s DM industry also has the characteristics of diversification.


## 2. Related Work

Literature [16] put forward that the data types required for the influencing factors of college students’ sports cognition mainly include students’ basic information, training in a physical education class, training after physical education class, sports assessment results, sports event results, etc. In literature [17], through the big data analysis method, the risk of college sports activities objectively exists, and the process of sports activities is always accompanied by the risk process so that there are both risk benefits and risk losses in the process of school sports activities; that is, the substantive result of sports activities risk is two-way, which may lead to both loss of benefits and promotion of benefits. Literature [18] research showed that female college students have significant differences in the time, intensity, and frequency of physical exercise, health status, and body shape, and there are also great differences in the motivation of male and female college students to participate in physical exercise. Literature [19] put forward that it is well known that sports activities can promote people’s all-around development. As a way and means to promote students’ all-around development, college sports is also well known that its ultimate goal is to improve students’ physical quality and health level. However, the development of the law of things tells us that contradictions are always the unity of opposites. Everything has duality. School sports activities must bring benefits and risks at the same time. In literature [20], through the big data analysis method, the lifelong sports concept of “exercise for 1 hour every day, healthy work for 50 years, happy life” and other factors determine the extensive participation of college students in sports activities in the post-Olympic era, sports activities become a part of students’ daily life, the doubling of the number of activities, and the expansion of forms. These changes not only bring vitality and vigor to college sports activities but also bring new problems and challenges to the safety management of college sports activities. Literature [21] showed the motivation of college students’ PE elective courses and its correlation with influencing factors. It held that hobbies are the main motivation of college students’ PE elective courses, and the difficulty of course examination also affects college students’ PE elective courses to a considerable extent. Literature [22] put forward that improving health, perfecting personality, and developing emotional intelligence and sports experience are the main motives for college students to participate in sports activities. In literature [6], the focus of theoretical research on influencing factors of college students’ sports cognition naturally shifts to the pursuit of maximising risk gain through the method of big data analysis, and college students’ sports cognition becomes aggressive and creative behaviour; if the focus of research on influencing factors of college students’ sports cognition is shifted to linking risks with risks and losses, people’s risk behaviours are always defensive, that is, how to avoid losses. In literature [7], creativity is a kind of thinking skill as well. Problem resolution is often a synergistic blend of creative and recreative thought. Sports appreciation may give a stronger platform for sports cognition since it demonstrates creative thinking in creative practice activities. According to literature [8], exercising and developing different physical characteristics and talents of teens, improving their health, promoting the robust growth of youth sports, and enhancing their bodies have become enormously essential duties for the whole party and society.Based on DM technology, this article studies the influencing factors of college students’ sports cognition. Sports cognition is a psychological process of subject’s evaluation and judgment of an object. Sports cognition and sports appreciation are psychological processes. It refers to the cognitive subject’s understanding and internal imitation of the technology, skills and tactics of the object activity or competition, and the internalised evaluation and judgment of the connotation and extension of sports culture. The influencing factors of college students’ sports cognition based on DM technology are explored on the basis of information technology. Many original mining technologies are constantly improving their own data while absorbing the spirit of the times and advanced technology. Thinking is the generalization and indirect cognitive process of the human brain to things and their laws.


## 3. Principle and Model of DM Technology

China’s DM technology is a concentrated expression of multidisciplinary knowledge, and the technology covers a wide range. At this stage, China’s DM technology adopts many extremely intuitive expressions to convey the beauty of technology. For example, the tree structure is a special expression of DM technology. In order to verify the analysis effect of the DM algorithm on the influencing factors of college students’ sports cognition, two classes of students in a certain major of Grade 2021 were taken as objects to carry out the analysis test of college students’ sports learning effect. The principle of effect mining of college students’ sports cognitive influencing factors based on DM is shown in Figure1.Figure 1
Role of DM technology in influencing factors of college students’ sports cognition.Among them, the knowledge base is students’ sports information, and the sample information comes from the campus teaching information management platform, that is, students’ information, training in a physical education class, training after physical education class, physical examination results, and sports event results. The evaluation database is the set of evaluation criteria for students’ learning effect, which is described as poor, general, good, and excellent; DM is started after data preprocessing, and the mining results are displayed in visual form. The DM generated based on the DM algorithm analyzes the elements related to the influencing factors of college students’ sports cognition, that is, the favorable and unfavorable factors that form the current learning effect, so as to help teachers scientifically optimize physical education teaching. Data flow analysis is based on the entity division of the system according to the flow of data in the system, mainly covering external documents, mobile client, mobile function end, server function end, and database, as shown in Figure2.Figure 2
Data flowchart.On the basis of data flow analysis, the function of the mobile terminal is to meet the data collection needs of athletes in daily training and competition, and it is convenient for coaches to input data during training, including training plan, scoring system, and tactical arrangement, and then upload the collected data to the server. The function of the server is to sort and store the data information after obtaining the data from the mobile terminal, integrate with the previous data information, and further upload it to the comprehensive information processing platform. It can be seen that the specific functional modules required by the system mainly include training quality monitoring and statistics module, on-the-spot tactical statistics module, tactical display board module, training plan management module, and comprehensive information processing module. China’s DM technology is a concentrated expression of multidisciplinary knowledge, and the technology covers a wide range. The process of DM is shown in Figure3.Figure 3
Process diagram of DM.Judea Pearl proposed the DM data model. In the realm of artificial intelligence, it has become a significant data technique. The constraint that attributes must be independent of each other in the naïve Bayesian classification approach is removed using a mix of graph theory and probability theory.The probability distribution ofn variables as a whole is(1)pX1,X2,...Xn=∏i=1npXi|X1,X2,...,Xi−1.Given the vectorX = (X1, X2, …, Xi − 1) described by attributes Y1, Y2, …, Yn, if the parents of variables are given, each variable condition is independent of its nondescendants in the network, so(2)pX1,X2,...Xn=∏i=1npXi|parentsYi.Each idealized cognitive model depends on multiple cognitive models, so the probability distribution of idealized cognitive models is(3)pICM1=pICM1|CM1,CM2,...,CMa.MP represents the intermediate process from organizing concept to understanding the meaning of expression, and its probability distribution is(4)pMP=PMP|ICM1,ICM2,...,ICMq.Therefore, the probability distribution of college students’ sports cognition is as follows:(5)pw=pw|MP.The scores of each cognitive ability are calculated by the following formula:(6)Aj=∑i=1mti⋅rij∑i=1mrij.The joint probability density of ICM1, ICM2, …, ICMq is(7)pICM1,ICM2,...ICMq=∏i=1qpICMi|ICM1,ICM2,...,ICMi−1.Similarly, the joint probability density between the parent nodes CM of each ICM can be obtained. In this way, the probability distributionP(w) of the listener’s cognition of college students’ sports can be obtained.As a kind of interdisciplinary application technology, DM technology covers multidisciplinary contents, such as statistics, artificial intelligence, and fuzzy analysis, and forms a system to obtain knowledge after data analysis according to specific problems. According to specific problems, DM technology can be divided into the following methods.


### 3.1. Statistical Analysis

This method is widely used in the database, using regression analysis and correlation analysis.Mathematical methods such as analysis connect the potential relationship between things so as to find the underlying relationship.


### 3.2. Genetic Algorithm

This technique is a computer model that simulates the process of biological evolution and takes lessons from natural genetic mechanisms in biology. This approach develops a number of solutions using simulated evolution, filters out the ones with poor correlation using a specified screening concept, and then repeats until the best solution is found. It is commonly used in industrial engineering, transportation, economics, and other domains to solve optimization issues.


### 3.3. Bayes Network

This method is mainly proposed for the problem of uncertain information. It establishes the relationship between each element node through graphics and solves the problem when the information is incomplete and uncertain. It is widely used in the system of nonfixed information.


### 3.4. Concept Tree Method

This method belongs to abstract data processing, which can classify and sort the data. It is a data preprocessing method.


## 3.1. Statistical Analysis

This method is widely used in the database, using regression analysis and correlation analysis.Mathematical methods such as analysis connect the potential relationship between things so as to find the underlying relationship.


## 3.2. Genetic Algorithm

This technique is a computer model that simulates the process of biological evolution and takes lessons from natural genetic mechanisms in biology. This approach develops a number of solutions using simulated evolution, filters out the ones with poor correlation using a specified screening concept, and then repeats until the best solution is found. It is commonly used in industrial engineering, transportation, economics, and other domains to solve optimization issues.


## 3.3. Bayes Network

This method is mainly proposed for the problem of uncertain information. It establishes the relationship between each element node through graphics and solves the problem when the information is incomplete and uncertain. It is widely used in the system of nonfixed information.


## 3.4. Concept Tree Method

This method belongs to abstract data processing, which can classify and sort the data. It is a data preprocessing method.


## 4. Influencing Factors of College Students’ Sports Cognition

### 4.1. Influencing Factors of College Students’ Sports Cognition Based on DM Technology

Cognition has broad and narrow meanings. Any tendency to talk about the change of learning methods apart from the cognitive goals of the discipline will only weaken the comprehensive educational function of the discipline, which is contrary to the purpose of curriculum reform. Data collection of influencing factors of college students’ sports cognition based on DM technology has obvious information characteristics. Compared with the traditional way of counting students’ scores by office software in teaching, big data technology pays more attention to the integration of channel data such as teaching sensors and teaching management platforms. The change of sports learning style is to change the traditional bias of sports cognition being supreme and sports skills being unique and to carry out all-around cultivation of knowledge, skills, emotional attitude, and personality spirit, which means the integration of diversified sports learning styles. Generally speaking, classroom teaching activities on campus are a static form of education. Long-term “three-point-one-line” learning life often makes most active students feel boring. Therefore, college students’ favorite sports activities after study can not only adjust their study life but also enable students to acquire various sports knowledge. In the tense leisure time of study and in the gap between study and exam, a small sports competition is organized by the class or students, which can not only regulate study, life rhythm, and harmonious mood and cultivate sentiment but also enable college students to have a positive rest, thus constantly changing the way of sports cognition and improving sports cognition ability in this process.Coaches’ data gathering approach in the past was primarily focused on athletes’ daily training and competition, and depended heavily on on-site observation and their own expertise to judge the training level, quality, and on-the-spot performance of athletes. Classroom teaching activities on campus are, in general, a static kind of instruction. Most active students find long-term “three-point-one-line” learning to be tedious. As a result, college students’ preferred sports activities after school may not only help them alter their study schedules but also allow them to learn about a variety of sports. It is the internalised reactive attitude of people’s judgment of the world, and it denotes the quality and value of life. Subject emotion is the reaction of cognitive effect in the process of sports cognition, and emotion is the key position in numerous psychological factors. Observation should be the most important component in determining one’s capacity to appreciate sports. It is difficult to discuss sports cognition and enjoyment without the capacity to observe. The objective condition of observation is that the observation subject and object be consistent. The complexity and diversity of the observation object determine the repetition and twists of the observation subject’s understanding of it. The design of training quality monitoring and on-the-spot tactical statistics system can well solve the above problems. The mobile terminal can be used as a tool for information collection and use, which is portable and convenient, and the data can be saved completely and comprehensively. Among them, the student’s basic information covers the student’s name, gender, student number, major, interests, hobbies, and personality. This information is registered in the school teaching management platform at the student enrollment stage. The DM platform can share the student’s basic information with the teaching platform through a special data interface and import the relevant data into the DM platform.The performance of thinking in sports cognitive activities: thinking is the necessary psychological factor to understand knowledge and skills, and understanding is the result of thinking activities. It is the core psychological factor of thinking creative learning. The law of inner unity of thinking and perception provides the theoretical basis for inner imitation of sports cognition. The law of mutual promotion between thinking and problems provides the theoretical basis for internalisation of sports cognition. Students’ sports cognitive ability is to cultivate students’ ability to analyze and solve problems when enjoying sports, and it is the concrete application of the law that thinking and problems advance each other. Through deep mining and analysis of the data in the established database, accurate statistical analysis results can be obtained, which can provide data support for coaches to make training plans, monitor training quality, and adjust on-the-spot tactics. On the basis of inheriting and utilising all the effective physical education learning methods discovered and invented by predecessors, we should firmly grasp the educational characteristics and goals of the physical education discipline and endow various physical education learning methods such as practice, games, competitions, experiences, and insights into experiential, autonomous, cooperative, and exploratory characteristics. Any tendency to talk about the change of learning methods apart from the cognitive goals of the discipline will only weaken the comprehensive educational function of the discipline, which is contrary to the purpose of curriculum reform. Creativity is also a kind of thinking ability. Problem solving is often an organic combination of creative thinking and recreative thinking. Creative thinking is shown in creative practice activities, and sports appreciation can provide a better platform for sports cognition. Sports appreciation activities will be fertile ground for developing human personality potential resources. The law of creativity and knowledge and experience provides a theoretical basis for improving sports cognitive ability. The influencing factors of college students’ sports cognition based on DM technology are within a certain reasonable range, reaching the activity training within the specified range of human biology. This training can not only reasonably cure many existing physical diseases but also benefit physical, physiological, and psychological indexes such as moving people’s tibia, balancing people’s blood lipid and heartbeat, and then fundamentally improving people’s physical quality.


### 4.2. Experimental Results and Analysis

A psychological process in which the subject examines and judges the thing is known as sports cognition. Sports cognition and appreciation is a psychological process that involves the cognitive subject’s internalised evaluation and judgment of the connotation and extension of sports culture, as well as internalised understanding and internal imitation of the technology, skills, and tactics of the object activity or competition. Individual psychological features of internal imitation and expansion of sports activities and connotation, which directly impact self-efficiency, are referred to as cognitive sports capacity under DM technology. Three studies were done to compare the influencing elements of college students’ sports cognition using statistical processing of the assessment data. Figures4–7 demonstrate the experiment’s unique outcomes.Figure 4
Evaluation results of influencing factors of college students’ sports cognition.Figure 5
Evaluation results of influencing factors of college students’ sports cognition.Figure 6
Evaluation results of influencing factors of college students’ sports cognition.Figure 7
Evaluation results of influencing factors of college students’ sports cognition.The results show that in the total ranking of five factors, the top three risk factors among the influencing factors of students’ sports cognition are as follows: insufficient safety supervision for students, the risk of forcibly completing actions, and the risk of overpracticing during activities. According to the survey, the students who use sports as a way of entertainment show a decreasing trend among freshmen and seniors, while the students who use sports as a way of communication show an increasing trend, and the students who use exercise have no obvious change in the three grades. Specific analysis shows that freshmen’s lifestyle still has a tense learning state in high school, so the proportion of freshmen who use sports as a way of communication is only 24.3%. On the other hand, 33.2% of junior students utilise physical activity as a form of communication. As junior students prepare to join society, the social connection has become an important aspect of work and study, and physical activity has become a popular method for students to communicate outside of the classroom. Teaching is primarily a collaboration between students and instructors, with multimedia instruction serving as an add-on. Furthermore, throughout the actual teaching process, many instructors have transformed multimedia instruction into a teacher-to-machine and student-to-machine scenario, which is particularly true in the language lab or computer room teaching setting. The mental perspective of instructors is highly significant in class, and lively body language may capture learners’ attention, which is the auxiliary expression form of linguistic warbler.Sports cognition is a psychological process in which the subject evaluates and judges the object. Sports cognition and sports appreciation are psychological processes. It refers to the cognitive subject’s understanding and internal imitation of the technology, skills, and tactics of the object activity or competition and the internalised evaluation and judgment of the connotation and extension of sports culture. Sports cognitive ability refers to the individual psychological characteristics of people’s internal imitation and extension of sports activities and connotations, which directly affect their self-efficiency. This experiment makes three comparisons to analyze the driving factors affecting sports cognitive ability.A means that college students’ sports appreciation ability will affect sports cognition, B means that college students’ observation ability will affect sports cognitive ability, and C means that college students’ thinking mode will affect their cognition and appreciation of sports, D means that college students’ interest in sports will have an impact on sports appreciation. The experimental results are shown in Figures 8–10.Figure 8
Data chart of factors affecting college students’ sports cognitive ability.Figure 9
Data chart of factors influencing college students’ sports cognitive ability.Figure 10
Data chart of factors affecting college students’ sports cognitive ability.As shown in Figures8–10, college students’ thinking style will affect their cognition and appreciation of sports and college students’ interest in sports will have the highest impact on sports appreciation, which is in a balanced state. In contrast, college students’ sports appreciation ability will have an impact on sports cognition and college students’ observation ability will have an impact on sports cognition, which accounts for a slightly lower proportion, and college students’ observation ability will have an impact on sports cognition, which is even higher than college students’ sports appreciation ability. Both the subject and the object are constantly involved in the occurrence of sports cognitive activity. The goal of changing the sports learning style is to shift the conventional bias of sports cognition being supreme and sports skills being unique and to cultivate all-around knowledge, skills, emotional attitude, and personality spirit, which entails integrating a variety of sports learning styles. Similarly, no matter how amazing a game is, it has no value for folks who lack sports cognition and enjoyment skills. The actual JF can only meet the goal of increasing teaching quality, impact, and atmosphere by merging multimedia teaching with instructors’ own appeal. Teachers are placed under more pressure as a result of this. Teachers must first be acquainted with teaching materials, possess extensive relevant information, and be able to teach and expand knowledge points outside of the document. Teachers should not depend too much on courseware; otherwise, teachers will become slaves to machines, and students will become slaves to machines.


## 4.1. Influencing Factors of College Students’ Sports Cognition Based on DM Technology

Cognition has broad and narrow meanings. Any tendency to talk about the change of learning methods apart from the cognitive goals of the discipline will only weaken the comprehensive educational function of the discipline, which is contrary to the purpose of curriculum reform. Data collection of influencing factors of college students’ sports cognition based on DM technology has obvious information characteristics. Compared with the traditional way of counting students’ scores by office software in teaching, big data technology pays more attention to the integration of channel data such as teaching sensors and teaching management platforms. The change of sports learning style is to change the traditional bias of sports cognition being supreme and sports skills being unique and to carry out all-around cultivation of knowledge, skills, emotional attitude, and personality spirit, which means the integration of diversified sports learning styles. Generally speaking, classroom teaching activities on campus are a static form of education. Long-term “three-point-one-line” learning life often makes most active students feel boring. Therefore, college students’ favorite sports activities after study can not only adjust their study life but also enable students to acquire various sports knowledge. In the tense leisure time of study and in the gap between study and exam, a small sports competition is organized by the class or students, which can not only regulate study, life rhythm, and harmonious mood and cultivate sentiment but also enable college students to have a positive rest, thus constantly changing the way of sports cognition and improving sports cognition ability in this process.Coaches’ data gathering approach in the past was primarily focused on athletes’ daily training and competition, and depended heavily on on-site observation and their own expertise to judge the training level, quality, and on-the-spot performance of athletes. Classroom teaching activities on campus are, in general, a static kind of instruction. Most active students find long-term “three-point-one-line” learning to be tedious. As a result, college students’ preferred sports activities after school may not only help them alter their study schedules but also allow them to learn about a variety of sports. It is the internalised reactive attitude of people’s judgment of the world, and it denotes the quality and value of life. Subject emotion is the reaction of cognitive effect in the process of sports cognition, and emotion is the key position in numerous psychological factors. Observation should be the most important component in determining one’s capacity to appreciate sports. It is difficult to discuss sports cognition and enjoyment without the capacity to observe. The objective condition of observation is that the observation subject and object be consistent. The complexity and diversity of the observation object determine the repetition and twists of the observation subject’s understanding of it. The design of training quality monitoring and on-the-spot tactical statistics system can well solve the above problems. The mobile terminal can be used as a tool for information collection and use, which is portable and convenient, and the data can be saved completely and comprehensively. Among them, the student’s basic information covers the student’s name, gender, student number, major, interests, hobbies, and personality. This information is registered in the school teaching management platform at the student enrollment stage. The DM platform can share the student’s basic information with the teaching platform through a special data interface and import the relevant data into the DM platform.The performance of thinking in sports cognitive activities: thinking is the necessary psychological factor to understand knowledge and skills, and understanding is the result of thinking activities. It is the core psychological factor of thinking creative learning. The law of inner unity of thinking and perception provides the theoretical basis for inner imitation of sports cognition. The law of mutual promotion between thinking and problems provides the theoretical basis for internalisation of sports cognition. Students’ sports cognitive ability is to cultivate students’ ability to analyze and solve problems when enjoying sports, and it is the concrete application of the law that thinking and problems advance each other. Through deep mining and analysis of the data in the established database, accurate statistical analysis results can be obtained, which can provide data support for coaches to make training plans, monitor training quality, and adjust on-the-spot tactics. On the basis of inheriting and utilising all the effective physical education learning methods discovered and invented by predecessors, we should firmly grasp the educational characteristics and goals of the physical education discipline and endow various physical education learning methods such as practice, games, competitions, experiences, and insights into experiential, autonomous, cooperative, and exploratory characteristics. Any tendency to talk about the change of learning methods apart from the cognitive goals of the discipline will only weaken the comprehensive educational function of the discipline, which is contrary to the purpose of curriculum reform. Creativity is also a kind of thinking ability. Problem solving is often an organic combination of creative thinking and recreative thinking. Creative thinking is shown in creative practice activities, and sports appreciation can provide a better platform for sports cognition. Sports appreciation activities will be fertile ground for developing human personality potential resources. The law of creativity and knowledge and experience provides a theoretical basis for improving sports cognitive ability. The influencing factors of college students’ sports cognition based on DM technology are within a certain reasonable range, reaching the activity training within the specified range of human biology. This training can not only reasonably cure many existing physical diseases but also benefit physical, physiological, and psychological indexes such as moving people’s tibia, balancing people’s blood lipid and heartbeat, and then fundamentally improving people’s physical quality.


## 4.2. Experimental Results and Analysis

A psychological process in which the subject examines and judges the thing is known as sports cognition. Sports cognition and appreciation is a psychological process that involves the cognitive subject’s internalised evaluation and judgment of the connotation and extension of sports culture, as well as internalised understanding and internal imitation of the technology, skills, and tactics of the object activity or competition. Individual psychological features of internal imitation and expansion of sports activities and connotation, which directly impact self-efficiency, are referred to as cognitive sports capacity under DM technology. Three studies were done to compare the influencing elements of college students’ sports cognition using statistical processing of the assessment data. Figures4–7 demonstrate the experiment’s unique outcomes.Figure 4
Evaluation results of influencing factors of college students’ sports cognition.Figure 5
Evaluation results of influencing factors of college students’ sports cognition.Figure 6
Evaluation results of influencing factors of college students’ sports cognition.Figure 7
Evaluation results of influencing factors of college students’ sports cognition.The results show that in the total ranking of five factors, the top three risk factors among the influencing factors of students’ sports cognition are as follows: insufficient safety supervision for students, the risk of forcibly completing actions, and the risk of overpracticing during activities. According to the survey, the students who use sports as a way of entertainment show a decreasing trend among freshmen and seniors, while the students who use sports as a way of communication show an increasing trend, and the students who use exercise have no obvious change in the three grades. Specific analysis shows that freshmen’s lifestyle still has a tense learning state in high school, so the proportion of freshmen who use sports as a way of communication is only 24.3%. On the other hand, 33.2% of junior students utilise physical activity as a form of communication. As junior students prepare to join society, the social connection has become an important aspect of work and study, and physical activity has become a popular method for students to communicate outside of the classroom. Teaching is primarily a collaboration between students and instructors, with multimedia instruction serving as an add-on. Furthermore, throughout the actual teaching process, many instructors have transformed multimedia instruction into a teacher-to-machine and student-to-machine scenario, which is particularly true in the language lab or computer room teaching setting. The mental perspective of instructors is highly significant in class, and lively body language may capture learners’ attention, which is the auxiliary expression form of linguistic warbler.Sports cognition is a psychological process in which the subject evaluates and judges the object. Sports cognition and sports appreciation are psychological processes. It refers to the cognitive subject’s understanding and internal imitation of the technology, skills, and tactics of the object activity or competition and the internalised evaluation and judgment of the connotation and extension of sports culture. Sports cognitive ability refers to the individual psychological characteristics of people’s internal imitation and extension of sports activities and connotations, which directly affect their self-efficiency. This experiment makes three comparisons to analyze the driving factors affecting sports cognitive ability.A means that college students’ sports appreciation ability will affect sports cognition, B means that college students’ observation ability will affect sports cognitive ability, and C means that college students’ thinking mode will affect their cognition and appreciation of sports, D means that college students’ interest in sports will have an impact on sports appreciation. The experimental results are shown in Figures 8–10.Figure 8
Data chart of factors affecting college students’ sports cognitive ability.Figure 9
Data chart of factors influencing college students’ sports cognitive ability.Figure 10
Data chart of factors affecting college students’ sports cognitive ability.As shown in Figures8–10, college students’ thinking style will affect their cognition and appreciation of sports and college students’ interest in sports will have the highest impact on sports appreciation, which is in a balanced state. In contrast, college students’ sports appreciation ability will have an impact on sports cognition and college students’ observation ability will have an impact on sports cognition, which accounts for a slightly lower proportion, and college students’ observation ability will have an impact on sports cognition, which is even higher than college students’ sports appreciation ability. Both the subject and the object are constantly involved in the occurrence of sports cognitive activity. The goal of changing the sports learning style is to shift the conventional bias of sports cognition being supreme and sports skills being unique and to cultivate all-around knowledge, skills, emotional attitude, and personality spirit, which entails integrating a variety of sports learning styles. Similarly, no matter how amazing a game is, it has no value for folks who lack sports cognition and enjoyment skills. The actual JF can only meet the goal of increasing teaching quality, impact, and atmosphere by merging multimedia teaching with instructors’ own appeal. Teachers are placed under more pressure as a result of this. Teachers must first be acquainted with teaching materials, possess extensive relevant information, and be able to teach and expand knowledge points outside of the document. Teachers should not depend too much on courseware; otherwise, teachers will become slaves to machines, and students will become slaves to machines.


## 5. Conclusions

Data collection of influencing factors of college students’ sports cognition based on DM technology has obvious information characteristics. At this stage, China’s DM technology adopts many extremely intuitive expressions to convey the beauty of technology. For example, the tree structure is a special expression of DM technology. The application of the DM algorithm in the analysis of influencing factors of college students’ sports cognition is an important change in the field of education, and it is also the inevitable development trend of education in the future. China’s colleges and universities should strengthen the training of psychology teachers and the construction of psychology courses and make the influencing factors of college students’ sports cognition a compulsory course for college students as soon as possible. They pay attention to the role of sports appreciation in improving college students’ sports cognition level and comprehensively promote the development of sports health education in colleges and universities. Therefore, educators should do a good job of monitoring big data algorithms in the process of popularizing DM technology. They should not blindly trust the teaching evaluation results of intelligent algorithm mining but ignore students’ feelings of not being trusted. Educators can use the DM results as the basis for making teaching plans, scientifically evaluate the rationality of intelligent analysis results, and prevent negative factors from eroding the evaluation results of DM technology. The DM platform can share the student’s basic information with the teaching platform through a special data interface and import the relevant data into the DM platform.



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*Source: 5022062-2022-04-29.xml*