# Application of Internet of Things Technology in Mobile Education of Smart Campus Culture and Etiquette

Authors: Yanhui Guo
Journal: Journal of Sensors
 (2022)

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## Abstract

To address the many uncertainties of technological change in school governance processes, this article offers smart school-based governance based on Internet of Things and Internet access mobile. Regarding the use of technology in cell phones, the system integrates in many ways, interviews staff involved, receives information, and then examines the use of how school governance affects school administration. The results of the experiment were as follows: 91.4% of parents believed that the use of smart home control systems was beneficial to themselves and their children; of the parents, 77.42% were most concerned about their student’s school condition, with 41.94% and 38.71% doing homework. In addition, 29.03% and 21.51% of family information and school activities were in the parent’ perspective. Parents estimate that in-school communication on WeChat, which is the largest contributor to smart school management, reaches an average of 50%. Smart school management has proven to be able to create a large database of schools and use it to support and streamline school management decisions, especially decisions, decision of the president, improving the whole process of a smart school system.


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## Body

## 1. Introduction

As the lower concept of management, school management is also facing unprecedented opportunities and challenges under the influence of modern advanced science and technology [1]. We can all realize that the economic management, government management, enterprise management, and other related management existing in the society have been at the forefront of advanced science and technology, and today’s world is in a period of great development, change, and adjustment. If school management can keep up with the trend of science and technology, it will bring great harvest [2]. Therefore, with the progress and development of mobile Internet technology, the society has entered a new mobile Internet era. The home school communication mode of traditional school management will eventually be replaced by the information communication mode. In order to enable school managers and teachers to use mobile phones and other mobile Internet to communicate with parents in real time and to enable parents to use mobile phones and other mobile Internet to grasp students’ learning situation and communicate effectively with teachers in time, the school has introduced a smart campus management system for the management of the school, which to a certain extent enhances the scientific, democratic, efficient, and standardized school management, meets the needs of schools, teachers, parents, and students in school management, and greatly promotes the reform of school management. However, there are many different problems in the practical application of schools, teachers, and parents, which affect the mobile process of school management.Experts and scholars from a wide range of disciplines have provided different insights into the concept and characteristics of a smart school. Internet experts commented on the good understanding of smart schools, saying that smart schools are Internet applications of products that focus on the interaction of information received or deleted. Technology professionals have focused on innovation in teaching such as smart learning environment and smart classrooms and see smart schools becoming smarter, transforming learning, and learning. Learning environment is based on new communication network technologies. School improvement professionals focus on the use and maintenance of smart schools. They believe that building a smart school is not just about using Internet technology but also about understanding. We need to pay attention to the quality of the technology and about its use and service. Based on the above ideas, we believe that smart school has become a new stage in the improvement of school information and has returned to the “three-point” form [3, 4]. Smart Campus focuses on the concept of “essential services and management support” such as understanding, service organization, information exchange, thought management, and deduction and makes research. The ultimate goal of a smart school connection is to provide better customer service. Second, smart schools need to reflect on the “deep integration” of school activities. “Deep integration” includes the integration of school work materials and a variety of modern school functions of processes and organizations, integration, integration and use of information platform, the integration of business processes and information, and four stages. Integration of data is based on all activities within the school and the external environment (smart city) [5]. In short, smart school could be defined as “person-centered, deep integration.” One of the unique features of a smart school is that its meaning is clear and descriptive. Its main features are as follows:
(1)
Have the ability to perceive the characteristics and habits of human, material, environment, and other factors in reality and can intelligently predict the general laws and development trends according to the established model(2)
Support the real-time transmission of all kinds of messages, data, and information with a high-speed multiservice network system to eliminate the space-time constraints to the greatest extent(3)
Realize the integration and intensive utilization of information platform and reflect the good organization and optimized storage of resources(4)
Resource mining and resource recommendation based on the concept of “big data” to realize intelligent decision-making, management, and control(5)
Build an open and multidimensional learning and scientific research space and have a learning and scientific research environment that supports multimode, crosstime, space, and context(6)
Informatization application reflects the personalization, integration, and socialization for end users, and the informatization application is truly integrated with the overall informatization application environment of society


## 2. Literature Review

Yasmin et al. believe that school management accounts for a large proportion in the application of mobile Internet technology, and many mature mobile Internet technologies have been applied to practice. There have been a large number of convenient mobile technologies for managing schools, such as campus office platform technology, campus information platform technology, campus microinformation management technology, and smart campus all-in-one card technology [6]. Nagowah et al. believe that mobile Internet technology and development are mainly used in the research of teaching platform, campus security, educational administration management, information management, and other aspects of school management, while there are few articles on the impact of mobile Internet technology on school management as a whole [7].Celdrán et al. described school administration as “a process in which school leaders use a variety of tools and activities through specialized organizations and procedures to guide educators” and students, utilizing all internal and external resources and improving school performance. “Make sure you use the school’s mission plan as a whole. In the future, he manages school education, training, shipping, and other activities [8].” Gilman et al. believe that school management includes the management of schools by various educational institutions at all levels subordinate to the state and the government and the internal management of schools themselves. We call the discipline studying the management of the former as educational management and the discipline studying the management of the latter as school management [9].Singh et al. believe that in general, school management includes the management of administration, education and teaching, teachers, students, safety, finance, and other aspects. In this regard, we can further subdivide it: administrative management includes the implementation of educational laws and regulations, the establishment of rules and regulations, the administration of the school according to law, the management of archives and materials, the management of books and periodicals entering the school, and the self-management of principals [10].Park believes that education and teaching management includes the following: strictly implementing curriculum plans and curriculum standards, standardizing teaching work, implementing teaching inspection, strengthening education and teaching research, improving and perfecting evaluation system, strengthening ideological and moral education, strengthening the connection between school, family and society, and doing a good job in school sports and art work [11].Stephan and Periera believe that safety management includes the following: establishing safety work institutions and working systems, safety education for teachers and students, safety prevention, accident reporting system management, and strengthening health work [12].Zhang et al. believes that campus management includes the following: rational allocation of campus facilities, good campus greening, keeping the campus clean and beautiful, paying attention to the construction of campus culture, standardizing indoor layout, and maintaining good order on the campus [13].Shi et al. believe that financial and asset management includes the following: carefully preparing the annual budget, strictly standardizing the financial management of the school, standardizing the procurement of goods, perfecting the property registration system, and strengthening the management of equipment and facilities [14].Kai et al. believe that there are still some deficiencies in the research on school management under the mobile Internet environment, most of which are only aimed at a specific need of the school, such as the design of mobile library management system, the design and implementation of mobile campus information platform, the design and implementation of WeChat campus service official account, and the design and implementation of school visitor management system, but they provide a good idea and reference for this study.Based on this, the data collected from the school were used after the use of smart school-based monitoring based on this research material. From the point of view of mobile internet technology, this article clearly uses the data mining algorithm on the Internet of Things to obtain and analyze data and then explains the impact of the program: mobile Internet for school management. The Internet of Things is shown in Figure1.Figure 1
Internet of Things platform architecture.


## 3. Research Methods

### 3.1. Data Mining under the Internet of Things

#### 3.1.1. Overview of Data Mining

Data mining is a technology to extract hidden information of use value or interest from a large amount of data. Its emergence and application have a great impact on people’s daily life and can guide people’s activities. At present, it is widely used in statistics and machine learning. Generally speaking, data mining has the following characteristics: ① the amount of data information that needs to be processed by data mining is very large. ② The valuable rules and information extracted by data mining are potential and implicit, and sometimes, they are not even accurately expressed [15]. ③ Dynamic and rapid update of rules is as follows; that is, data mining can respond quickly to data changes. ④ The variables of information extracted by data mining include both continuous variables and discrete variables.


#### 3.1.2. Data Mining Process

The data mining process is a multistep repeat process of extracting important data from users according to certain characteristics (minimum support, reliability, things) by users. The special process is shown in Figure2. Generally, it consists of three steps: preparing the data, deleting the data, and presenting and interpreting the results.Figure 2
Data mining process.Data preparation consists of three steps: data collection, data selection, and predocumentation. Data sharing is the process of sharing and processing data in multiple files or multiple locations, eliminating inaccuracies, resolving inaccuracies, and clean up data. The purpose of data selection is to analyze the data set to identify, narrow down the performance, and improve the quality of the data extraction. Preliminary data mining is about overcoming the limitations of current data mining tools. It only performs functions such as copying data, deleting files, and changing file types. At this stage of data mining, we must first decide what to think, whether the data deletion will automatically determine the user, or whether the user will make assumptions about the experiences that will be included in the case. The first is called discovery data mining, and the second is called validation data mining and then selecting the right tools for real mining operations to find the right rules and regulations. ③ Presentation and interpretation of data analysis information received in accordance with the customer’s target decision, identifying the most important information and provided to the customer by decision-making tools. Therefore, the function of these steps is not only to report the results but also to filter the data [16].


#### 3.1.3. Association Rule Mining Algorithm

Rnsactional data is an integral part of government grammar research. Every business usually has small equipment and limited turnaround time. Typically, setI=i1,i2,⋯,in is used to represent a subitem, and position t is used to represent a product, for example, T∈I. If one of the subsets of i is x and X∈T, we can see that t has the status. If it is x, this association rule can be expressed as follows: X⇒Y, which means that event x is true, and event y is also true.Support is the result that eventsa and b may occur at the same time. If A and B do not occur frequently at the same time, this indicates that there is no relationship between A and B. If A and B seem to occur simultaneously, then A and B are likely to be affected. Belief is the result of event B in case A. If faith is too low, then event B is almost unaffected by event A. A statement of support and confidence is provided by the model (1) to (2).
(1)supportA⇒B=PA∪B,(2)confidenceA⇒B=PBA.


#### 3.1.4. Decision Tree Algorithm

The log algorithm is a method of estimating the division of labor that is most often used to determine the value of a data or concept. Specifically, for conflict situations, the distribution of rights is placed in the decision-making tree. The deciduous trees are tree-like structures, such as the main stem, the branches of the branches, and the leaf axils. The nodes of the tree determine the nature of the structure, and the branches represent the value of the property. The core of the tree decides is the most important material of the whole structure, and the branches are the most important material of all the trees. Page value is the value of the sample category. The trees decide to use the top-down recursion. To solve the internal problem of the tree, first compare the results of the attributes and then filter the results of the lower branches through the nodes according to the different materials. Finally, take into account the leaves of the deciduous tree and the path from the root node to the deciduous tree corresponds to the law, and the tree decides the total for the layers standard instruction [17].


#### 3.1.5. Basic Principle of ID3 Algorithm

When constructing the decision tree, the information gain method is usually used to help determine which attribute is used to generate the following branches. IfS is a set containing s samples, the category attribute can take m different values, corresponding to m different categories C and I belong to 1,2,3,⋯,m. If a is selected as the test attribute, a has V different values a1,a2,a3,⋯,av, a has been divided S into v subsets S1,S2,S3,⋯,Sv, and Sij is set as the number of samples belonging to Ci in subset Sj, the information required to divide the current sample set by using A is calculated as shown in formula (3):
(3)EA=∑vS1j+S2j+⋯+SmjSIS1j+S2j+⋯+Smj.For a given subsetSj, the information is formula (4):
(4)IS1j+S2j+⋯+Smj=−∑vPijlogPij,wherePij=Sij/Sj is the probability that the samples in subset Sj belong to category Ci. The information gain obtained by dividing the corresponding sample set of the current branch node with attribute A is formula (5):
(5)GainA=IS1,S2,⋯,Sm−EA.By calculating the information of each attribute, and then selecting the attribute with the largest gain as the test attribute of a given sets, the corresponding branch node is generated.


#### 3.1.6. C4.5 Algorithm Principle

LetT be the data set and the category set be C1,C2,⋯Ck. Select an attribute V to divide T into multiple subsets. Let V have n values V1,V2,⋯,Vn that do not coincide with each other, and then t is divided into n subsets T1,T2,⋯,Vn, where the values of all instances in T are v. Let T be the number of examples of dataset T, Cj=freqCj,T be the number of examples of class Cj, and Cjv be the number of examples of class Cj in example V=Vj, then the occurrence probability of class ICj is formula (6), and the information entropy of class is formulas (7) and (8).
(6)PCj=Cj/T=freqCj,T/T,(7)HC=−∑j=1kfreqCj,TT⋅log2freqCj,TT,(8)−∑j=1kfreqCj,TT⋅log2freqCj,TT=infoT.Set info (T) as the entropy function, then solve the category conditional entropy, and divide the set T according to attribute V, and the segmented category conditional entropy is formulas (9) and (10):
(9)HCV=∑InTiT⋅infoTi,(10)∑InTiT⋅infoTi=infoT.


### 3.2. Comparative Research Method

The comparative research method is to compare and analyze the different performances of the educated in different periods and under different circumstances, so as to reveal the general laws and special performances of education, so as to summarize the conclusions in line with the objective facts [18]. Through the comparative analysis of the personnel participating in the smart campus management system, this study pays attention to the use feelings of students and parents by using research methods such as observation and interview, so as to provide effective and accurate theoretical data for this study.


### 3.3. Smart Campus Management System

The smart campus management system architecture of the university mainly has three basic levels: infrastructure layer, campus application layer, and network layer [19].The infrastructure layer mainly includes servers, a large number of hardware resources, wireless campus network, wired campus network, access control system, and network security center. The campus application layer mainly provides schools, teachers, and parents with various contents related to students’ campus life, including teacher management edition and parents’ ordinary edition [20]. The network layer includes information data center, management and decision-making platform, and network security protection [21].Generally speaking, in its LAN environment, the school realizes the integrated application of various information of teachers, students, and parents through access control management, school bus transfer management, and teacher-student information management with the help of the mobile jingle campus system [22].The smart campus management system of the school mainly has five functions: student management function, WeChat home school communication function, school bus transfer function, school affairs management function, and background management function, as shown in Figure3.Figure 3
Function diagram of the smart campus management system.Student management function is mainly for student personal information, student status, class, information, photo album, examination, attendance, entrance and exit, and management [23].WeChat home school communication functions include the following: mass sending of school notices, mass sending of homework scores, private message communication, student access information, account confidentiality, official account push, and student photo album update [24].The services provided by the school bus transfer function include the following: site reminder, school bus location, car following teacher address book, parent address book, real-time push on and off, and wrong station warning [25].The function of school affairs management includes the management of school organization, faculty information, student parent information, education and teaching activities, school quantitative management, and school activities.Background management functions include user information maintenance, data management backup, school information management, password update, system maintenance, and regular upgrade.The functions are complementary, interconnected, and interactive, which together constitute the smart campus management system of the school and provide a system guarantee for the school.


## 3.1. Data Mining under the Internet of Things

### 3.1.1. Overview of Data Mining

Data mining is a technology to extract hidden information of use value or interest from a large amount of data. Its emergence and application have a great impact on people’s daily life and can guide people’s activities. At present, it is widely used in statistics and machine learning. Generally speaking, data mining has the following characteristics: ① the amount of data information that needs to be processed by data mining is very large. ② The valuable rules and information extracted by data mining are potential and implicit, and sometimes, they are not even accurately expressed [15]. ③ Dynamic and rapid update of rules is as follows; that is, data mining can respond quickly to data changes. ④ The variables of information extracted by data mining include both continuous variables and discrete variables.


### 3.1.2. Data Mining Process

The data mining process is a multistep repeat process of extracting important data from users according to certain characteristics (minimum support, reliability, things) by users. The special process is shown in Figure2. Generally, it consists of three steps: preparing the data, deleting the data, and presenting and interpreting the results.Figure 2
Data mining process.Data preparation consists of three steps: data collection, data selection, and predocumentation. Data sharing is the process of sharing and processing data in multiple files or multiple locations, eliminating inaccuracies, resolving inaccuracies, and clean up data. The purpose of data selection is to analyze the data set to identify, narrow down the performance, and improve the quality of the data extraction. Preliminary data mining is about overcoming the limitations of current data mining tools. It only performs functions such as copying data, deleting files, and changing file types. At this stage of data mining, we must first decide what to think, whether the data deletion will automatically determine the user, or whether the user will make assumptions about the experiences that will be included in the case. The first is called discovery data mining, and the second is called validation data mining and then selecting the right tools for real mining operations to find the right rules and regulations. ③ Presentation and interpretation of data analysis information received in accordance with the customer’s target decision, identifying the most important information and provided to the customer by decision-making tools. Therefore, the function of these steps is not only to report the results but also to filter the data [16].


### 3.1.3. Association Rule Mining Algorithm

Rnsactional data is an integral part of government grammar research. Every business usually has small equipment and limited turnaround time. Typically, setI=i1,i2,⋯,in is used to represent a subitem, and position t is used to represent a product, for example, T∈I. If one of the subsets of i is x and X∈T, we can see that t has the status. If it is x, this association rule can be expressed as follows: X⇒Y, which means that event x is true, and event y is also true.Support is the result that eventsa and b may occur at the same time. If A and B do not occur frequently at the same time, this indicates that there is no relationship between A and B. If A and B seem to occur simultaneously, then A and B are likely to be affected. Belief is the result of event B in case A. If faith is too low, then event B is almost unaffected by event A. A statement of support and confidence is provided by the model (1) to (2).
(1)supportA⇒B=PA∪B,(2)confidenceA⇒B=PBA.


### 3.1.4. Decision Tree Algorithm

The log algorithm is a method of estimating the division of labor that is most often used to determine the value of a data or concept. Specifically, for conflict situations, the distribution of rights is placed in the decision-making tree. The deciduous trees are tree-like structures, such as the main stem, the branches of the branches, and the leaf axils. The nodes of the tree determine the nature of the structure, and the branches represent the value of the property. The core of the tree decides is the most important material of the whole structure, and the branches are the most important material of all the trees. Page value is the value of the sample category. The trees decide to use the top-down recursion. To solve the internal problem of the tree, first compare the results of the attributes and then filter the results of the lower branches through the nodes according to the different materials. Finally, take into account the leaves of the deciduous tree and the path from the root node to the deciduous tree corresponds to the law, and the tree decides the total for the layers standard instruction [17].


### 3.1.5. Basic Principle of ID3 Algorithm

When constructing the decision tree, the information gain method is usually used to help determine which attribute is used to generate the following branches. IfS is a set containing s samples, the category attribute can take m different values, corresponding to m different categories C and I belong to 1,2,3,⋯,m. If a is selected as the test attribute, a has V different values a1,a2,a3,⋯,av, a has been divided S into v subsets S1,S2,S3,⋯,Sv, and Sij is set as the number of samples belonging to Ci in subset Sj, the information required to divide the current sample set by using A is calculated as shown in formula (3):
(3)EA=∑vS1j+S2j+⋯+SmjSIS1j+S2j+⋯+Smj.For a given subsetSj, the information is formula (4):
(4)IS1j+S2j+⋯+Smj=−∑vPijlogPij,wherePij=Sij/Sj is the probability that the samples in subset Sj belong to category Ci. The information gain obtained by dividing the corresponding sample set of the current branch node with attribute A is formula (5):
(5)GainA=IS1,S2,⋯,Sm−EA.By calculating the information of each attribute, and then selecting the attribute with the largest gain as the test attribute of a given sets, the corresponding branch node is generated.


### 3.1.6. C4.5 Algorithm Principle

LetT be the data set and the category set be C1,C2,⋯Ck. Select an attribute V to divide T into multiple subsets. Let V have n values V1,V2,⋯,Vn that do not coincide with each other, and then t is divided into n subsets T1,T2,⋯,Vn, where the values of all instances in T are v. Let T be the number of examples of dataset T, Cj=freqCj,T be the number of examples of class Cj, and Cjv be the number of examples of class Cj in example V=Vj, then the occurrence probability of class ICj is formula (6), and the information entropy of class is formulas (7) and (8).
(6)PCj=Cj/T=freqCj,T/T,(7)HC=−∑j=1kfreqCj,TT⋅log2freqCj,TT,(8)−∑j=1kfreqCj,TT⋅log2freqCj,TT=infoT.Set info (T) as the entropy function, then solve the category conditional entropy, and divide the set T according to attribute V, and the segmented category conditional entropy is formulas (9) and (10):
(9)HCV=∑InTiT⋅infoTi,(10)∑InTiT⋅infoTi=infoT.


## 3.1.1. Overview of Data Mining

Data mining is a technology to extract hidden information of use value or interest from a large amount of data. Its emergence and application have a great impact on people’s daily life and can guide people’s activities. At present, it is widely used in statistics and machine learning. Generally speaking, data mining has the following characteristics: ① the amount of data information that needs to be processed by data mining is very large. ② The valuable rules and information extracted by data mining are potential and implicit, and sometimes, they are not even accurately expressed [15]. ③ Dynamic and rapid update of rules is as follows; that is, data mining can respond quickly to data changes. ④ The variables of information extracted by data mining include both continuous variables and discrete variables.


## 3.1.2. Data Mining Process

The data mining process is a multistep repeat process of extracting important data from users according to certain characteristics (minimum support, reliability, things) by users. The special process is shown in Figure2. Generally, it consists of three steps: preparing the data, deleting the data, and presenting and interpreting the results.Figure 2
Data mining process.Data preparation consists of three steps: data collection, data selection, and predocumentation. Data sharing is the process of sharing and processing data in multiple files or multiple locations, eliminating inaccuracies, resolving inaccuracies, and clean up data. The purpose of data selection is to analyze the data set to identify, narrow down the performance, and improve the quality of the data extraction. Preliminary data mining is about overcoming the limitations of current data mining tools. It only performs functions such as copying data, deleting files, and changing file types. At this stage of data mining, we must first decide what to think, whether the data deletion will automatically determine the user, or whether the user will make assumptions about the experiences that will be included in the case. The first is called discovery data mining, and the second is called validation data mining and then selecting the right tools for real mining operations to find the right rules and regulations. ③ Presentation and interpretation of data analysis information received in accordance with the customer’s target decision, identifying the most important information and provided to the customer by decision-making tools. Therefore, the function of these steps is not only to report the results but also to filter the data [16].


## 3.1.3. Association Rule Mining Algorithm

Rnsactional data is an integral part of government grammar research. Every business usually has small equipment and limited turnaround time. Typically, setI=i1,i2,⋯,in is used to represent a subitem, and position t is used to represent a product, for example, T∈I. If one of the subsets of i is x and X∈T, we can see that t has the status. If it is x, this association rule can be expressed as follows: X⇒Y, which means that event x is true, and event y is also true.Support is the result that eventsa and b may occur at the same time. If A and B do not occur frequently at the same time, this indicates that there is no relationship between A and B. If A and B seem to occur simultaneously, then A and B are likely to be affected. Belief is the result of event B in case A. If faith is too low, then event B is almost unaffected by event A. A statement of support and confidence is provided by the model (1) to (2).
(1)supportA⇒B=PA∪B,(2)confidenceA⇒B=PBA.


## 3.1.4. Decision Tree Algorithm

The log algorithm is a method of estimating the division of labor that is most often used to determine the value of a data or concept. Specifically, for conflict situations, the distribution of rights is placed in the decision-making tree. The deciduous trees are tree-like structures, such as the main stem, the branches of the branches, and the leaf axils. The nodes of the tree determine the nature of the structure, and the branches represent the value of the property. The core of the tree decides is the most important material of the whole structure, and the branches are the most important material of all the trees. Page value is the value of the sample category. The trees decide to use the top-down recursion. To solve the internal problem of the tree, first compare the results of the attributes and then filter the results of the lower branches through the nodes according to the different materials. Finally, take into account the leaves of the deciduous tree and the path from the root node to the deciduous tree corresponds to the law, and the tree decides the total for the layers standard instruction [17].


## 3.1.5. Basic Principle of ID3 Algorithm

When constructing the decision tree, the information gain method is usually used to help determine which attribute is used to generate the following branches. IfS is a set containing s samples, the category attribute can take m different values, corresponding to m different categories C and I belong to 1,2,3,⋯,m. If a is selected as the test attribute, a has V different values a1,a2,a3,⋯,av, a has been divided S into v subsets S1,S2,S3,⋯,Sv, and Sij is set as the number of samples belonging to Ci in subset Sj, the information required to divide the current sample set by using A is calculated as shown in formula (3):
(3)EA=∑vS1j+S2j+⋯+SmjSIS1j+S2j+⋯+Smj.For a given subsetSj, the information is formula (4):
(4)IS1j+S2j+⋯+Smj=−∑vPijlogPij,wherePij=Sij/Sj is the probability that the samples in subset Sj belong to category Ci. The information gain obtained by dividing the corresponding sample set of the current branch node with attribute A is formula (5):
(5)GainA=IS1,S2,⋯,Sm−EA.By calculating the information of each attribute, and then selecting the attribute with the largest gain as the test attribute of a given sets, the corresponding branch node is generated.


## 3.1.6. C4.5 Algorithm Principle

LetT be the data set and the category set be C1,C2,⋯Ck. Select an attribute V to divide T into multiple subsets. Let V have n values V1,V2,⋯,Vn that do not coincide with each other, and then t is divided into n subsets T1,T2,⋯,Vn, where the values of all instances in T are v. Let T be the number of examples of dataset T, Cj=freqCj,T be the number of examples of class Cj, and Cjv be the number of examples of class Cj in example V=Vj, then the occurrence probability of class ICj is formula (6), and the information entropy of class is formulas (7) and (8).
(6)PCj=Cj/T=freqCj,T/T,(7)HC=−∑j=1kfreqCj,TT⋅log2freqCj,TT,(8)−∑j=1kfreqCj,TT⋅log2freqCj,TT=infoT.Set info (T) as the entropy function, then solve the category conditional entropy, and divide the set T according to attribute V, and the segmented category conditional entropy is formulas (9) and (10):
(9)HCV=∑InTiT⋅infoTi,(10)∑InTiT⋅infoTi=infoT.


## 3.2. Comparative Research Method

The comparative research method is to compare and analyze the different performances of the educated in different periods and under different circumstances, so as to reveal the general laws and special performances of education, so as to summarize the conclusions in line with the objective facts [18]. Through the comparative analysis of the personnel participating in the smart campus management system, this study pays attention to the use feelings of students and parents by using research methods such as observation and interview, so as to provide effective and accurate theoretical data for this study.


## 3.3. Smart Campus Management System

The smart campus management system architecture of the university mainly has three basic levels: infrastructure layer, campus application layer, and network layer [19].The infrastructure layer mainly includes servers, a large number of hardware resources, wireless campus network, wired campus network, access control system, and network security center. The campus application layer mainly provides schools, teachers, and parents with various contents related to students’ campus life, including teacher management edition and parents’ ordinary edition [20]. The network layer includes information data center, management and decision-making platform, and network security protection [21].Generally speaking, in its LAN environment, the school realizes the integrated application of various information of teachers, students, and parents through access control management, school bus transfer management, and teacher-student information management with the help of the mobile jingle campus system [22].The smart campus management system of the school mainly has five functions: student management function, WeChat home school communication function, school bus transfer function, school affairs management function, and background management function, as shown in Figure3.Figure 3
Function diagram of the smart campus management system.Student management function is mainly for student personal information, student status, class, information, photo album, examination, attendance, entrance and exit, and management [23].WeChat home school communication functions include the following: mass sending of school notices, mass sending of homework scores, private message communication, student access information, account confidentiality, official account push, and student photo album update [24].The services provided by the school bus transfer function include the following: site reminder, school bus location, car following teacher address book, parent address book, real-time push on and off, and wrong station warning [25].The function of school affairs management includes the management of school organization, faculty information, student parent information, education and teaching activities, school quantitative management, and school activities.Background management functions include user information maintenance, data management backup, school information management, password update, system maintenance, and regular upgrade.The functions are complementary, interconnected, and interactive, which together constitute the smart campus management system of the school and provide a system guarantee for the school.


## 4. Result Analysis

### 4.1. Use Feedback of Smart Campus Management System

After the system is used, a questionnaire is sent to students’ parents to collect data on their use of the system.The survey results show that parents generally give full affirmation to the way of school management on the mobile jingle campus of the school. They believe that the system can reasonably set up application functions based on the actual situation of students. Everything is student-oriented, which is convenient for parents to understand their children’s school situation and facilitate the communication with schools and teachers, and the overall use is good. The following are the representative results.(1)
Communication between parents and schools: 91.4% of parents believed that the use of the smart campus management system was of great help to themselves and their children, mainly reflected in that 31.38% of parents thought that they could pay attention to their children’s personal safety with the help of the system, 20.43% of parents thought that they could correct their children’s wrong behavior, 19.35% of parents thought that they could supervise their children’s schoolwork, and 17.12% of parents thought that they could understand their children’s advantages and disadvantages. It shows that the system has become one of the main tools for parents to understand their children’s school situationAs can be seen from Figure4, parents are most concerned about students’ school situation, accounting for 77.42%. The second is students’ homework and grades, accounting for 41.94% and 38.71%, respectively. Family education guidance and school activity arrangement are also the key points concerned by parents, accounting for 29.03% and 21.51%, respectively.
(2)
The overall feeling of parents of children of different grades on the use of the system: it is learned that there are differences in the physical and psychological development of students in different grades. A crossanalysis is carried out according to the concerns of parents in different grades. The results are shown in Figure5Figure 4
Parents’ concerns about their children’s school through the system.Figure 5
Overall experience of the smart campus system on parents of children of different grades.From Figure5, it can be seen that more than half of the parents in all grades believe that the use of Jingle Bell campus has a great impact on themselves, indicating that the system has indeed brought great improvement to school management, of which more than 70% of the parents in grades 1-2 and junior high school have chosen great help. In junior high school, the students at this stage are in the psychological development stage of self-identity and chaotic roles. The students are generally sensitive, emotional, rebellious, eager for independence, freedom, and inseparable from the care of their parents. Compared with the primary school stage, they are not good at communicating with their parents. Parents can only obtain their children’s school situation through teachers or systems. For grades 3-6 in the middle stage, the students’ psychological development is relatively gentle at this stage, and the parents and teachers have formed a stable communication mode; so, they are less affected by the system.
(3)
Function distribution of parents’ use of the system in different gradesFrom Figure6, it can be seen that parents of lower grade students generally focus on their children’s homework and personal safety, while their attention to correcting their children’s mistakes and understanding their children’s advantages and disadvantages is at a low level. At this time, due to the young age, weak consciousness, imperfect psychological development, and weak self-protection consciousness of lower grade students, the access control system of smart campus and the function of sending homework scores have become the focus of lower grade parents.
(4)
Parents of children of different grades’ experience of using the systemFigure 6
Main functions of the smart campus system for parents of children of different grades.From Figure7, it can be concluded that parents believe that the WeChat home school communication function is the most helpful to themselves in the smart campus management system. Student access management also rises with the rise of grades. It is analyzed that the reason for the low level of grades 1-2 may be that some parents have just started to use the system and are not fully familiar with the functions of the system. School bus transfer management helped parents in grades 1-2 the most, reaching 60%. It decreased rapidly from grade 3 and showed a stable trend after grade 4. The reason for the analysis is that for the sake of their children’s safety, low-grade parents choose the way of school bus transfer for their children. From grade 3, parents begin to let go to cultivate their children’s self-reliance ability. On the other hand, it is also because most students live not far from the school. The overall help of school publicity and promotion to parents is not much. Except for 4% in grades 3-4, parents in other grades think it is not helpful to themselves. The reason may be that the school has not made greater efforts to use the system for school publicity.
(5)
Feedback from parents of children of different grades on the use of the systemFigure 7
Experience of using the smart campus system for parents of children of different grades.From Figure8, it can be seen that the proportion of parents who think that the “smart campus management system” lags behind decreases in the order of grades 1-2, junior middle school, grades 5-6, and grades 3-4. Parents in lower grades of primary school and junior middle school tend to pay attention to their children’s personal safety; Parents who think that “the system security is poor and personal information is easy to leak” are the most in grades 1-2, accounting for 20%.Figure 8
Problems pointed out by parents of children of different grades after using the smart campus system.


## 4.1. Use Feedback of Smart Campus Management System

After the system is used, a questionnaire is sent to students’ parents to collect data on their use of the system.The survey results show that parents generally give full affirmation to the way of school management on the mobile jingle campus of the school. They believe that the system can reasonably set up application functions based on the actual situation of students. Everything is student-oriented, which is convenient for parents to understand their children’s school situation and facilitate the communication with schools and teachers, and the overall use is good. The following are the representative results.(1)
Communication between parents and schools: 91.4% of parents believed that the use of the smart campus management system was of great help to themselves and their children, mainly reflected in that 31.38% of parents thought that they could pay attention to their children’s personal safety with the help of the system, 20.43% of parents thought that they could correct their children’s wrong behavior, 19.35% of parents thought that they could supervise their children’s schoolwork, and 17.12% of parents thought that they could understand their children’s advantages and disadvantages. It shows that the system has become one of the main tools for parents to understand their children’s school situationAs can be seen from Figure4, parents are most concerned about students’ school situation, accounting for 77.42%. The second is students’ homework and grades, accounting for 41.94% and 38.71%, respectively. Family education guidance and school activity arrangement are also the key points concerned by parents, accounting for 29.03% and 21.51%, respectively.
(2)
The overall feeling of parents of children of different grades on the use of the system: it is learned that there are differences in the physical and psychological development of students in different grades. A crossanalysis is carried out according to the concerns of parents in different grades. The results are shown in Figure5Figure 4
Parents’ concerns about their children’s school through the system.Figure 5
Overall experience of the smart campus system on parents of children of different grades.From Figure5, it can be seen that more than half of the parents in all grades believe that the use of Jingle Bell campus has a great impact on themselves, indicating that the system has indeed brought great improvement to school management, of which more than 70% of the parents in grades 1-2 and junior high school have chosen great help. In junior high school, the students at this stage are in the psychological development stage of self-identity and chaotic roles. The students are generally sensitive, emotional, rebellious, eager for independence, freedom, and inseparable from the care of their parents. Compared with the primary school stage, they are not good at communicating with their parents. Parents can only obtain their children’s school situation through teachers or systems. For grades 3-6 in the middle stage, the students’ psychological development is relatively gentle at this stage, and the parents and teachers have formed a stable communication mode; so, they are less affected by the system.
(3)
Function distribution of parents’ use of the system in different gradesFrom Figure6, it can be seen that parents of lower grade students generally focus on their children’s homework and personal safety, while their attention to correcting their children’s mistakes and understanding their children’s advantages and disadvantages is at a low level. At this time, due to the young age, weak consciousness, imperfect psychological development, and weak self-protection consciousness of lower grade students, the access control system of smart campus and the function of sending homework scores have become the focus of lower grade parents.
(4)
Parents of children of different grades’ experience of using the systemFigure 6
Main functions of the smart campus system for parents of children of different grades.From Figure7, it can be concluded that parents believe that the WeChat home school communication function is the most helpful to themselves in the smart campus management system. Student access management also rises with the rise of grades. It is analyzed that the reason for the low level of grades 1-2 may be that some parents have just started to use the system and are not fully familiar with the functions of the system. School bus transfer management helped parents in grades 1-2 the most, reaching 60%. It decreased rapidly from grade 3 and showed a stable trend after grade 4. The reason for the analysis is that for the sake of their children’s safety, low-grade parents choose the way of school bus transfer for their children. From grade 3, parents begin to let go to cultivate their children’s self-reliance ability. On the other hand, it is also because most students live not far from the school. The overall help of school publicity and promotion to parents is not much. Except for 4% in grades 3-4, parents in other grades think it is not helpful to themselves. The reason may be that the school has not made greater efforts to use the system for school publicity.
(5)
Feedback from parents of children of different grades on the use of the systemFigure 7
Experience of using the smart campus system for parents of children of different grades.From Figure8, it can be seen that the proportion of parents who think that the “smart campus management system” lags behind decreases in the order of grades 1-2, junior middle school, grades 5-6, and grades 3-4. Parents in lower grades of primary school and junior middle school tend to pay attention to their children’s personal safety; Parents who think that “the system security is poor and personal information is easy to leak” are the most in grades 1-2, accounting for 20%.Figure 8
Problems pointed out by parents of children of different grades after using the smart campus system.


## 5. Conclusion

Based on the application of mobile Internet technology and the development process of school management and concept, this paper makes an expected research, and the results are as follows:(1)
This paper makes a systematic research on the school management based on mobile Internet and reproduces the application platform interface, educational administration management interface, and system setting interface of the smart campus management system(2)
Through its own observation and analysis, this paper presents the current situation of the use of the mobile Internet system in the school, obtains the basic idea and framework of the questionnaire and interview through the perceptual understanding and rational thinking of the current situation, and implements and analyzes the questionnaire and interview after determining the research questions and research objects(3)
Combined with the current situation of the campus and the summary and analysis of the data content, this paper finds out some problems encountered in the process of school management mobility: the reasons of the system itself, the reasons of school management, and the constraints of family conditions



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*Source: 6321784-2022-07-15.xml*