RETRACTED ARTICLE: Research on new college Chinese teaching strategy based on SNS network platform and improved particle swarm optimization

Abstract

With the rapid development of network technology, college Chinese teaching needs to be reformed as so to adapt to the network environment. This paper puts forward a new strategy of college Chinese teaching based on SNS (social network services) network platform, constructs the model of college Chinese teaching resource allocation, and designs the college Chinese teaching network teaching platform using SNS network method. The routing nodes of SNS network platform are optimized, and the improved PSO (particle swarm optimization) is used to optimize the location of SNS network platform nodes. Based on the node distribution model of PSO, the node overlay connectivity graph of the new SNS network platform of college Chinese teaching is reconstructed to realize the network coverage optimization. The experimental results show that the proposed SNS network platform has better performance of resource scheduling and network connectivity.

1 Introduction

In the information society, people need lifelong learning. Distance education, especially the modern distance education with the network as the main carrier, conforms to this trend and provides powerful and convenient support for people to obtain new knowledge at any time. Today, more than 10,000 people worldwide receive education via the Internet every year. Internet-based online learning is becoming the trend and trend of education and training. However, at present, there are some problems to be solved in the learning activities of network education. In the distance learning platform, the communication and discussion after learning is integrated into the depth, there are few topics with the learning topics, and the learners do not have the enthusiasm to discuss learning. After the completion of the learning stage, it is impossible to enter the platform for re-learning. There is no life-long learning community. In the process of autonomous learning, the learner participation is not high, the emotional attribution is not strong, and he often feels lonely. Lack of multiple process evaluation ignore the change of students’ learning behavior and attitude. How to solve the above problems is worth exploring.

With the rapid development of modern information technology, it has been applied more and more widely in teaching reform, which has played an important role and achieved good results [1]. Modern network technology has been fully used to carry out Chinese teaching in higher vocational colleges while giving full play to the superiority of traditional college Chinese teaching, in order to stimulate the interest of higher vocational students in learning college Chinese continuously. To improve their own humanistic quality has become an important issue that the universities urgently need to solve. Based on the basis of the development of network technology and the practical requirements of higher vocational education, the author discusses how to develop college Chinese teaching in the network environment, that is, college Chinese network teaching. The analysis of college Chinese teaching activities under the network environment, which cannot be limited by time and space, provides abundant teaching resources, new teaching methods and means, stimulate students’ interest in learning, and improve the teaching level of Chinese teachers [2]. It has great significance to study the optimization model of college Chinese teaching strategy based on SNS network platform [3]. Information technology is the development trend of the society today. The development of information technology injects science and technology and vitality into education, and at the same time, it puts forward new requirements on the teaching methods, teaching methods, and models of Chinese subject under the background of the development of modern educational technology. How to grasp the relationship between modern educational technology and classroom teaching, find out the best combination of the two, seek advantages and avoid disadvantages, and make its maximum benefit serve for teaching has become the problem that Chinese subject must face and solve under the background of modern educational technology.

It is necessary to change the convergent educational model, which used to focus only on the common requirements of learning, emphasizing too much unity and neglecting differences and respecting the different interests and desires of students. This paper puts forward a new strategy of college Chinese teaching based on SNS network platform, constructs the model of college Chinese teaching resource allocation, and designs the college Chinese teaching network teaching platform using SNS network method. The routing nodes of SNS network platform are optimized, and the IPSO (improved particle swarm optimization) algorithm is used to optimize the location of SNS network platform nodes. The experimental results show that the proposed SNS network platform has better performance of resource scheduling and network connectivity.

2 Theoretical analysis and reform strategy of network teaching

We live in an era of the Internet, and the impact of the network on students is very great. The network constantly affects students’ thinking and behavior, weakens students’ relevant Chinese skills, and leads to the decline of students’ humanistic quality. In the era of network, the network, as a new media and information carrier, with its rich information resources, fresh, informative, sufficient and so on, is increasingly highlighting its unique charm in education and teaching. Network is helpful to guide students to explore actively, unite and cooperate, dare to discover, and learn bravely to innovate. Network teaching can provide rich teaching resources, audio, video, pictures, and other materials on the Internet is very rich, students can open the website at anytime, anywhere, and the content of learning extended to the outside. With the network resources, teachers can freely surf the Internet at home and in the office at anytime and anywhere, collect relevant information from all over the world, and use it for themselves, so that they can enrich their lesson preparation work and have more depth and breadth of teaching content. In addition, with the help of the Internet, teachers can keep abreast of the latest developments of related content because of the fast updating of network resources. Finally, the college Chinese teaching under the network environment also provides the possibility for the teacher-student communication and the student's active participation [4].

Under the network environment, Chinese teaching in higher vocational colleges can break through the limitation of time and space in traditional education and realize the innovation of teachers and students in the aspects of resource sharing, learning mode, teacher-student interaction, and so on. The characteristics of openness, equality, interaction, and sharing of the network have provided rich teaching resources, broad space, and advanced technical support for the teaching and learning of Chinese in higher vocational colleges. Teachers and students can break through the limitation of time and space and get a lot of learning resources quickly, such as the excellent lesson video, film, lecture, music, case, and teaching courseware, provided by the network. Electronic teaching plans, background knowledge, and so on are resources that have very strong vitality and are scientific, interesting, ideological, intellectual, and educational, and these contents can greatly enhance the teaching ability of Chinese teachers in higher vocational colleges. The attraction and appeal of the classroom can enhance the students’ interest in learning, and at the same time, it can also realize the sharing of resources, especially for the remote colleges and universities to provide an effective way to collect teaching resources [5]. Therefore, it is necessary to make active use of network teaching resources in Chinese teaching in higher vocational colleges.

In short, the teaching of Chinese in higher vocational colleges under the network environment is a complex system engineering, involving network resources, teaching methods and means, teaching staff and students’ initiative in learning, and so on. Under the network environment, the Chinese teaching in higher vocational colleges is not limited by time and space, the teaching material is abundant, the teaching speed is fast, the resources can be shared well, and the teachers and students can interact with each other, which is a reform and innovation to the traditional college Chinese teaching [6]. For the educators in universities, it is necessary to study further, renew their concepts, broaden their horizons, master the teaching ability of using the network, better train the students’ Chinese application ability, and improve their humanistic comprehensive quality.

3 Methods

3.1 Routing algorithm for SNS network platform

The routing node optimization design of the new SNS network platform for college Chinese teaching is discussed. The improved particle swarm optimization algorithm is used to optimize the self-adaptive location and optimization of the SNS network platform node of the new college Chinese teaching system, and the optimization design of the network teaching platform is carried out [7,8,9]. The new SNS network platform for college Chinese teaching is arranged on a two-dimensional plane, with the grid point Ωij = {n/d(n, Wij) < Rs}, n ∈ N as the center of the circle, covering the circular area with a radius of Ωij. The nodes are randomly deployed in this coverage area, and the communication coverage radius of the nodes is d(n, Wij). The distributed nodes are deployed in the perceptual area, and the new SNS network platform for college Chinese teaching is used to transmit and receive messages through multipath channels, that is, the random deployment of the grid points of the SNS network platform for the new type of college Chinese teaching and the number of nodes in the SNS network platform of the new type of college Chinese teaching. H indicates the distance from the node to the grid center of the minimal overlay set [10]. The nodes with distance less than Rs obtain the local optimal solution and put it into the perceptual region set Ωij. According to the above definition, the distributed structure model of the new SNS network platform model of college Chinese teaching is constructed. The number and position of beacon nodes in the communication range are set, and the adaptive grid distribution design of network nodes is carried out by adaptive rotation scheduling. The optimal deployment coordinates of t + 1 generation nodes T in monitoring area A are obtained, and according to the adaptive optimization method, the optimal deployment coordinates of (x_{i, t + 1}, y_{i, t + 1}) generation nodes in monitoring area A are obtained. The distributed coordinates of the network nodes are shown as follows:

$$ \Big\{{\displaystyle \begin{array}{l}{x}_{i,t+1}=\left({x}_{i,t}+{x}_{i,t+1}^{\hbox{'}}\right)/2\\ {}\\ {}{y}_{i,t+1}=\left({y}_{i,t}+{y}_{i,t+1}^{\hbox{'}}\right)/2\end{array}} $$

(1)

According to the routing priority SC_MN of empty edge nodes in the perceived area P_c of grid points, the priority P_c of routing repair is selected in the continuous area of SNS network platform of college Chinese teaching:

$$ {P}_c=\frac{e_i^{\alpha}\cdot {e}_j^{\alpha }}{d{\left({s}_i,{s}_j\right)}^{\beta }}+z $$

(2)

in which e_i and e_j represent the residual energy of two new SNS network platform nodes in college Chinese teaching, s_i, s_j is the empty edge neighbor, the routing node adaptively repairs with the same probability [11], and the new college Chinese teaching is carried out in the new university Chinese teaching. In the node network of SNS network platform, the cross-coverage model of SNS network platform node can be expressed as follows:

$$ {z}_k^i={h}_k^i\left({x}_k,{u}_k\right)+{v}_k^i,\kern1em i=1,2,....,M $$

(3)

Thus, the distribution model and coverage void of the new SNS network platform model of college Chinese teaching are constructed as shown in Fig. 1.

Fig. 1

Distribution model of SNS network platform model. ni (i = 1,2,..., 6) represents different social network nodes

Understanding the technical structure of the existing social networking site, synthetically utilizing the existing information and network technology, and building a social network platform will not have a large technical bottleneck. It has emulated function and technology module, adopts open source system and tool, and is related to open source data packet, and the front-end layer is developed with language, in which the front-end business logic control adopts. In the background, the database server is used to form a huge tree cluster, which distributes the access pressure of the database. Based on industry, the advantages of communication details and protocols are used to develop intermediate layer logical and cached systems. In order to reduce the load pressure of the main server, a distributed memory-based cache system is used to improve the speed of the front-end layer. In the aspect of application, the data mining technology will be widely used to process the information obtained from the database through the data analysis technology, to deeply understand the user’s habits and requirements, to improve the practical value of the information presented to the user, and to enhance the user’s experience. Figure 2 is the pattern diagram of action behavior in class.

Fig. 2

Pattern diagram of action behavior in class

Cooperative learning is all the related behaviors in which learners participate in the form of group, cooperate and help each other in order to achieve the common learning goal, and maximize the acquisition results of individuals and others under a certain incentive mechanism. In the process of collaborative learning, in order to improve learning efficiency, learners organize learning in the form of group or team learning. Group members achieve the overall learning goal through collaborative work, and the activities among members are an organic relationship. The learners need to complete their own learning tasks and also need to carry out with other learners. In dialog and exchange, web-based collaborative learning refers to the collaborative learning in the network environment, which takes the network technology as the tool and the group as the learning organization to complete the common learning tasks.

3.2 Node coverage of SNS network platform

In order to improve the coverage of the new SNS network platform of college Chinese teaching, to improve the coverage of the network, and to carry out the route repair design, the network teaching platform for college Chinese teaching is designed by using the network method of SNS network [12, 13]. The routing node optimization design of the new SNS network platform for college Chinese teaching covers the related node n1, n2 for the empty edge node set. If the distributed k cover multi-connected trust degree is Tn1, Tn2,, then the active grid residual energy meets ${T}_{tb}^{(n1)}=k\mid 1- Tn1/T\max \mid \cdot tn1$ and ${T}_{tb}^{(n2)}=k\mid 1- Tn2/T\max \mid \cdot tn2$. tn1 and tn2 are the scheduling time of the node to select priority C = {s_i, ...s_j, ...}, k is the adjusting parameter of the minimum covering set S to active state, and it can be set according to the actual situation [14].

When all the nodes are in the active state, the SNS network platform node network detection area A of the new university language teaching is divided into W × L random distribution grid $\frac{\sqrt{2}}{2}{R}_c$×$\frac{\sqrt{2}}{2}{R}_c$, and the active state of each node is updated. The residual energy of the node is defined as G for all adjacent grid M and N, and update grid coverage, and the new university language teaching is obtained. The distribution control of SNS network platform nodes is obtained as follows:

$$ S{C}_{MN}=\left\{\left({s}_i,{s}_j\right)|d\left({s}_i,{s}_j\right)\le {R}_c,{s}_i\in M,{s}_j\in N\right\} $$

(4)

in which M and N are the upper or lower grids of each node’s communication coverage radius, d(s_i, s_j) is the Euclidean distance of the communication network coverage area of the SNS network platform, and R_c is the communication radius of the node [15,16,17].

In the routing topology of the SNS network platform in the new university language teaching, the characteristic function of the routing repair of the SNS network platform node network in the new university language teaching is satisfied:

$$ \overline{D}=\sum \limits_{l_i=1}^{M-1}\mid {D}_{l_i}\mid /\sum \limits_{j=1}^{M-1}\mid {L}_j\mid $$

(5)

The data transmitted by relay node v_j is mismatched to cause transmission distortion, and network extension is carried out. The path loss factor of SNS network platform for new college Chinese teaching is obtained by measurement:

$$ \mid \overrightarrow{d}\left(v,u\right)\mid =\mid \overrightarrow{p}(u)-\overrightarrow{p}(v)\mid $$

(6)

In order to improve the coverage of SNS network nodes in new college Chinese teaching, the routing detection model is used to repair the network nodes, which has been experienced in the network node distribution space of SNS network platform of new college Chinese teaching [18,19,20]. The best place to be noted is P_i = (p_i1, p_i2, ⋯p_iD), where:

$$ j\in {N}_i(k),{N}_i(k)=\left\{\left\Vert {x}_j(k)-{x}_i(k)\right\Vert <{r}_d(k)\right\} $$

(7)

The central position of the SNS network platform node optimization coverage for the new college Chinese teaching is obtained as follows:

$$ {v}_{id}^t={v}_{id}^{t-1}+\left({x}_{id}^t-{x}_d^{\ast}\right).{f}_i $$

(8)

Combining the current position of particle swarm, the adaptive optimization of node distribution is carried out, and the foraging operator is obtained at the time of t − 1 and t distribution of feature points, which is described as:

$$ {x}_i\left(k+1\right)={x}_i(k)+s\left(\frac{x_j(k)-{x}_i(k)}{\left\Vert {x}_j(k)-{x}_i(k)\right\Vert}\right) $$

(9)

For j nodes, the new SNS network platform node of college Chinese teaching adopts the Boolean model and obtains the active state of SNS network platform node of new university Chinese teaching:

$$ {P}_s={e}_i^{\lambda }{c}^{\theta }+z $$

(10)

Finally, the recursive formula for optimizing the channel characteristic registration of the SNS network platform in the new University Chinese teaching is obtained as:

$$ {p_i}^{\ast }=\frac{1}{\sum \limits_{j=i}^N\frac{2{m}_j}{\sum \limits_{k=j+1}^{N+1}{L}_k{p}_k-\sum \limits_{k=j}^N{E}_k}}-1,i=1,...,N+1 $$

(11)

Finally, the SNS network platform of new college Chinese teaching is designed, and the nodes can achieve optimal coverage. The node overlay connected graph of SNS network platform is shown in Fig. 3.

Fig. 3

Node overlay connected graph of SNS network platform

3.2.1 A learning community that learns with friends

In distance learning, with the completion of the learning stage, it is no longer possible to study on the platform again, which is not conducive to the establishment of a lifelong learning community. At the same time, because the learners meet fewer times, they are not very familiar with each other. Trust in real life is not fully built up; by inviting friends to study together, learning in the circle of friends will not feel learning lonely and, in the process of learning, people interested in the subject can be learners. It is not related to major, age or class. Learning based on this interest can affect learners and even the whole learning group.

3.2.2 Looking for the same companion

Through the supported thematic collaborative learning activities, the aim is to make up for the lack of interpersonal support in the current remote learning platform, the phenomenon of lack of communication and dialog in collaborative learning, and the phenomenon of isolated figures, through learning with friends. Using the platform as the auxiliary role of communication, through the platform white body advantage, deepens the learners’ understanding of the learning content and strengthens the relationship between the learners.

3.2.3 Content analysis and evaluation

In order to explore the effect of cooperative communication in the process of learning, in addition to the evaluation of the learner’s collaboration group work, the paper analyzes the participation degree of learning participation in communication and dialog and the significance of the content of participation in the topic. Pay close attention to the learners and the state of a collaborative activity.

4 Results and discussion

In order to verify the performance of this algorithm in the optimal deployment and coverage of the SNS network platform for the new type of college Chinese teaching, simulation experiments are carried out. The proposed algorithm is simulated on Matlab 7.0. The nodes of the new network platform of college Chinese teaching are distributed in the square area of 400 m × 400 m. The total number of network nodes is 4000, and the output location of nodes is random distribution. The communication radius R_s = 8m, and initial coverage radius R_c = 16m of the new SNS network platform node in college Chinese teaching. According to the above simulation environment and parameter setting, the simulation experiment analysis is carried out, and the average value of 1000 repeated experiments is obtained by using Monte Carlo experimental analysis method, and the coverage of the new university Chinese teaching network platform is obtained by the method of Monte Carlo experiment.

The proposed algorithm is compared with related works, TDOA [10] and NSS [11], for data collection with SNS network platform. Figure 4 is the comparison of coverage percentage of three algorithms, and Fig. 5 is the comparison of safety level of the three algorithms.

Fig. 4

Comparison of coverage percentage of three algorithms

Fig. 5

Comparison of safety level of three algorithms

It can be seen from Figs. 4 and 5 that the node deployment design of the new SNS network platform for college Chinese teaching is carried out by using this algorithm. With the increase of the network life cycle, the coverage degree and the security performance of the network still maintain a high level. Using this algorithm to design the network can improve the security degree and communication coverage quality of the new SNS network platform of college Chinese teaching, and the coverage ability of the network platform of college Chinese teaching is improved.

Many network learning systems do not have personalized function. The environment determines what to learn, when to learn, and how to learn. The system cannot update resources and make notes with learners’ needs. Figure 6 shows the comparison of average delay of three algorithms, Fig. 7 is the comparison of the percentage of alive nodes of three algorithms, and Fig. 8 shows the comparison of average residual energy of three algorithms. As shown in Figs. 6, 7, and 8, our proposal has better performance, and the proposed SNS network platform has better performance of resource scheduling and network connectivity.

Fig. 6

Comparison of average delay of three algorithms

Fig. 7

Comparison of the percentage of alive nodes of three algorithms

Fig. 8

Comparison of average residual energy of three algorithms

Therefore, a good self-directed learning platform should try to provide individual learning needs for learners. In the process of learning, the existing web-based learning system cannot enter the system to learn again or obtain resources and form a permanent virtual learning community after the learners have completed their study. Many learners need to be able to communicate in a learning platform after learning. In view of the above shortcomings of the existing network learning system, the author thinks that it is necessary to construct a cooperative learning and cooperative communication system based on the cooperative learning method based on the social network concept and the network cooperative learning. In enhancing dialog, communication network, and collaboration learning platform, the platform can record learners’ basic information, learning activities, track, etc. It can support thematic collaborative learning and promote interpersonal communication and interaction.

5 Conclusions

In order to improve the quality of college Chinese teaching, this paper puts forward a new strategy of college Chinese teaching based on SNS network platform and designs the college Chinese teaching network teaching platform using SNS network method. Based on the node distribution model of PSO, the node overlay connectivity graph of the new SNS network platform of college Chinese teaching is reconstructed to realize the network coverage optimization. The experimental results show that the proposed SNS network platform has better performance of resource scheduling and network connectivity. The SNS network platform designed in this paper has good application value in the optimization of college Chinese teaching.