# Optimization of Child Literature Curriculum Settings for Preschool Education Based on Numerical Analysis

Authors: Xiaoyi Wang
Journal: Mathematical Problems in Engineering
 (2022)

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## Abstract

With the progress of society and economy, the optimization setting of child literature courses in preschool education major has become increasingly popular. Curriculum optimization setting provides support for the effective inheritance of child literature. Numerical analysis is used to optimize the setting of child literature courses for preschool education majors, mainly by using the obtained data for the input of numerical analysis, collecting data from the “similar dataset” according to children’s daily language, and calculating the adjacent data in the dataset and evaluating child literature in preschool education while predicting the accuracy of curriculum optimization settings and making personalized recommendations for children’s interests according to the children’s numerical analysis results that are modified with the change of children’s interest over time. Finally, the results of the experiment indicate that the proposed algorithm for numerical analysis requires less time than other algorithms in the process of optimization for setting of child literature courses for preschool education majors, thereby ensuring more effective optimization of curriculum settings. Finally, the case study results suggest that the proposed method is effective in enhancing students’ interdisciplinary teacher skills, cultivating interdisciplinary teacher talents, improving students’ application and innovation capabilities, driving the development of disciplines, and serving the national cultural development strategy.


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## Body

## 1. Introduction

With the continuous social advancement, optimized curriculum settings have become the direction of scholars at home and abroad when they study and explore the development and optimization of child literature in detail. Child literature curriculum is implemented by digital technology, which allows for effective processing of large volume of data. In addition, it is conducive to strengthening data storage, query, and avoiding loss and damage of data due to natural/man-made disasters. The child literature data can be analyzed thoroughly by data mining to provide visitors/users with valuable information for cultural exchange and application worldwide. However, it is a tremendous challenge to acquire specific contents from the raw data of child literature which lack definition for numerical analysis. As the child literature signal method falls into the time-sorting approach, numerical values can be used for analysis based on the concealment condition. Currently, the acquired features of child literature are inaccurate due to the relatively simple classification methods. Hence, it is proposed that the basic goal of improving the ability of the five major areas is to enhance the students’ cross-domain teacher skills and to cultivate compound teacher talents as the teaching purpose. Through the integration of courses, the compatibility and diversified teaching of child literature courses are realized [1–3]. In recent years, implementing the effective integration of different disciplines has become the main direction of curriculum optimization and the development trend of the education industry. Among them, the integration course mainly refers to the integration of different disciplines with internal connections into one discipline, in which the purpose is to achieve all-round training for students. For example, physics and geography can be effectively integrated into Earth science courses so that students can master both geography and physics content in the process of learning. Due to the society’s continuous emphasis on the field of education, higher requirements have been put forward for the comprehensive quality of kindergarten teachers [4–6]. The curriculum of kindergarten is generally closely related. When setting up the corresponding teaching system, each curriculum should be closely integrated to achieve the convergence and integration of different courses. Child literature is inevitably influenced by today’s economic laws and is subject to the competition test of survival of the fittest. Folk and ethnic traditional child literature projects that can serve commercial activities or have a certain commercial development value are continuously excavated. Other projects have been ruthlessly “eliminated” and can only rely on the government’s attention and optimization to maintain “livelihood.” Child literature course in Chinese preschool education major is of great value for cultural connotation and profound heritage, and its continuous optimization process can carry our traditional cultural beliefs As an important part of the sustainable Chinese civilization development system, it carries forward history and culture in many ways. Through the diversified historical culture and the flexible revealing method, the traditional national, cultural, and aesthetic value can be fully demonstrated. The child literature course in preschool education reflects the inner spiritual needs. However, the continuous economic development, traditional heritage, and cultural awareness have been proved to be conducive to the sustainable social growth. At the same time, it can also be reflected in the optimization of child literature courses for preschool education majors and the establishment of electronic files for child literature courses in preschool education majors [7, 8].With the continuous development of China’s child literature industry, it has grown dramatically. Child literature is analyzed in detail to identify the issues and defects in teaching to develop plans for subsequent training and improvement. During traditional studies on child literature curriculum optimization in preschool education, two-dimensional maps are usually used to describe the teaching environment of the research system to optimize the curriculum on child literature in preschool education. Currently, a one-stop service system is required for child literature so that the whole child literature can obtain the highest benefits [9–11]. The research on curriculum optimization in child literature plays an important role, and a good curriculum optimization research system is conducive to accelerating the development of child literature, lowering the cost, and guaranteeing the proper provision of services, while managing and using resources effectively. The optimized setting of child literature courses for preschool education majors aims to provide support for the optimized setting of child literature courses for preschool education majors. Based on the numerical analysis method, child literature curriculum optimization in preschool education is studied scientifically.As scientific and Internet technologies continue to develop, many Chinese fields are now undergoing informatization construction. In the current optimization and setting process of child literature courses, it can greatly improve the optimization level of Chinese child literature courses and can also provide powerful support for the robust and continued optimization of the child literature curriculum in China. Through in-depth research and analysis on the optimization of the existing preschool curriculum of child literature, an optimization method based on numerical analysis is put forward, which can provide certain support for the stable and sustainable development of numerical analysis. In the numerical analysis, the outgoing processing speed can be updated in real time by following any extremum and the global extremum, and at the same time, the approximate value of the optimal setting of the child literature course in preschool education can be obtained. Finally, the results of the experiment indicate that the proposed algorithm is superior to the traditional one with reduced time and increased speed of numerical analysis.


## 2. Numerical Analysis

Data that are not processed can be improved through numerical analysis. Through numerical analysis, diversity and accuracy are used to define, and comprehensive analysis is used to complete the numerical analysis selection [12, 13]. Through numerical analysis of particle swarm composition in the search space on the basis of numerical analysis, the expression of the corresponding numerical analysis data information feature vector χi is given as(1)lεg=1−ρlεg−1+γfχig.In the above expression,f represents the adaptive function corresponding to the eigenvector χi of the eigendata of the numerical analysis. γχig indicates the corresponding numerical analysis of the εth processing in the actual application process.The expression for processingπp in numerical analysis is given as(2)Acuπp=NMIπp,π∗.Theπp and πq in the formula represent the processing of numerical analysis. If less information is shared with the numerical analysis underlying data, the underlying data is less accurate; otherwise, vice versa.Data accuracy and diversity are analyzed by the numerical method to represent the data in a standard manner comprehensively based on numerical analysis [14]:(3)Evalπp=λAcuπp+1−λDivπp.In the formula,λ∈0,1, and the correctness and variety of numerical analysis is an important degree in the comprehensive analysis standard.Formula (3) is based on the diversity of numerical analysis basic processing Divπp, and the basic numerical analysis algorithm is selected as proπp in the analysis process, which is calculated according to the equation as follows:(4)proπp=Divπp∑p=1BDivπp.Numerical analysis is conducted to maximize the intrinsic features restored in each reconstructed data space [15, 16]. The loss function Lip of the numerical analysis method is defined by the formula as follows:(5)Ltotalinp=2Lvalid+12Lhole+0.04Lper+100Lstyle1+Lstyle2+100Ladv+0.3Lvar.Numerical analysis dynamically adjusts parameters according to the complicated courses in various fields to keep the speed unchanged and ensure the generation of more consistent metadata for processing in the later stage. It is not necessary to specify the parameter to bridge the gap in super data based on the proposed algorithm.Rotate the restore recognition point that points against the original data. H, the first bonding point of data, is located in the recognition map. Based on0≤k≤hvx2k+1,i′,vy2k+1,i′, all recognition points are rotated as follows:(6)dxk′=vx2k+1,i′−vxk,i,dyk′=vy2k+1,i′−vyk,i,vx2k+1,i′vy2k+1,i′=vxk,ivyk,i+cos−θ−sin−θsin−θcos−θ×dxk′dyk′.For each piece of dataPi and P˜i, calculate its barycentric coordinates after removing the last point as(7)vxi′¯=1hi′−1∑k=1hi′−1vxk′,vyi′¯=1hi′−1∑k=1hi′−1vyk′,vxi¯=1hi−1∑k=1hi−1vxk,vyi¯=1hi−1∑k=1hi−1vyk,where h represents the length (node count) of the ith data after preliminary classification; hi′ is embedded in the length identified, and two offsets are calculated as follows:(8)Δxi=12hi−2∑k=1hi−1vxk+1−vxkpk,Δyi=12hi−2∑k=1hi−1vyk+1−vykpk.Big data can represent the target group used for mutual communication as a cyclic graph DAG.Assuming that two adjacent targets are scheduled to be executed in the same database, the time taken to transmit is zero [17, 18]. The optimal setting length T of child literature courses for preschool education majors can be defined as the maximum value of all corresponding outgoing targets:(9)T=maxtnl.If the efficiency of immersive numerical analysis is the worst in any time period, compare the speed of numerical analysis with thejth virtual data at the same time. Then the jth virtual data can be expressed as follows:(10)cj=cbexprj.The numerical analysis C required to handle the optimization settings of the course can represent the sum of all the costs of performing the numerical analysis objective as shown in figure.(11)C=∑cj.In order to achieve an effective balance between the numerical analysis time and the numerical analysis objective of child literature curriculum optimization for preschool education majors, the following formula is used as the objective function of the model:(12)minαT′−TminTmax−Tmin+1−αC′−CminCmax−Cmin,α∈0,1.Under the numerical analysis, the optimal setting problem of child literature curriculum for preschool education majors is aimed at minimizing the target numerical analysis timeT and numerical analysis C. For the optimization setting objectives of curriculum in child literature for preschool education, different scheduling schemes lead to different numerical analysis time and numerical analysis, and these two objectives affect each other. For a multiobjective optimization problem, there is an optimal solution set, and it is not possible in a solution set to improve one goal without any solution lowering the other goal.


## 3. Curriculum Optimization Setting of Child Literature

In today’s preschool education field, there is a shortage of educators who not only possess profound preschool education theories, rich practical research foundations but also theoretical foundations of child literature, that is, teachers with dual professional backgrounds in education and literature [19]. There is also the problem of ignoring the special psychological laws of young children in terms of values and ethical tendencies. Chinese child literature has a wealth of cultural connotation and profound heritage. During continued exploration, historical events and tracks can be reproduced. Meanwhile, child literature also carries the traditional cultural beliefs of China. As an important part of the long-term carrier of Chinese civilization, child literature inherits history and culture via multiple channels. Through the diversified historical culture and the flexible revealing method, the traditional national, cultural, and aesthetic value can be fully demonstrated. The research and inheritance of curriculum optimization is an inherent spiritual need, but the aesthetic status of child literature deserves further consideration. The continuous economic development, traditional heritage, and cultural awareness have been proved to be conducive to the sustainable social growth. At the same time, child literature is explored and optimized in the development of intangible cultural relics and the establishment of child literature in electronic forms.First, letxt denote the D-dimensional features in the T numerical analysis algorithm features and let X=x1,…,xt,…,xT that is extracted from the child literature course for preschool education majors. Suppose λ=ωi,μid,i=1,2,…,N,d=1,2,…,D represent a group of parameters for the multivariate Bernoulli model with N components, and xtd represents the d-th xt. For the set (λ) of parameters, the probability density function for T features of X can be described as follows:(13)pX|λ=∏t=1Tpxt|λ,pxt|λ=∏i=1Nωipixt|λ,pixt|λ=∏d=1Dμidxid1−μid1−xid.For the estimation of parameter set (λ), an algorithm for maximizing expectation [20] is introduced for a given group of training features x1,…,xs,…,xS. Upon expectation, the ith component of the Bernoulli mixture model is used to obtain the probability γsi (or posterior probability pi|xs,λ of xs:(14)γsi=pi|xs,λ=ωipixs|λ∑j=1Nωjpjxs|λ.Upon maximization, the parameters are updated as follows:(15)Si=∑s=1Sγsi;ωi=SiS,μid=1Si∑s=1Sγsixsd.LetX=x1,…,xt,…,xT be T observation samples, where xt∈X. Let uλ be the probability density function for simulating the process to generate elements of X, where λ=λ1,λ2,…,λM′∈RM represents a vector with a parameter uλ. In the log likelihood function, X is described by gradient GλX, which is also known as Fisher score:(16)GλX=1TΔλℒX|λ,where ℒX|λ represents the log likelihood function:(17)ℒX|λ=logpX|λ.This gradient describes how to fit dataX better by modifying the parameters for generative model uλ. As GλX∈RM, only the parameter count M in λ, rather than sample size, determines the dimensionality of GλX. In 1998, Jaakkola and Haussla put forward that the similarity of two samples X and Y could be determined by Fisher Kernel, which was defined as follows:(18)KX,Y=GλXFλ−1GλY.Among them,Fλ is the Fisher information matrix of pX|λ:(19)Fλ=EXΔλℒX|λΔλℒX|λT.Positive, semidefinite, and symmetricFλ−1 has Cholesky decomposition, i.e., Fλ−1=LλTLλ. Hence, the Fisher kernel can be converted to dot product of GλX (normalized gradient vector):(20)GλX=LλGλX.GλX (normalized gradient vector) is also known as the Fisher vector of X.Child literature courses must be extracted, that is,n features must be extracted in each child literature course, and the feature space is composed of n features. The dimension represented in the generalized feature is the weight of its feature in the literature [21, 22]. Assuming that the replacement eigenvalue of one literary feature space synchronization tree is x=x1x2…xN and another literary synchronization tree has replacement eigenvalues of y=y1y2…yN, then the calculation formula of the cosine angle between the two can be expressed as follows:(21)cosθ=x·yxy=∑i=1Nxiyi∑i=1Nxi2∑i=1Nyi2.According to the above roots, the curriculum setting of preschool education needs to be further optimized. Combined with the existing teaching concepts, preschool teaching content, and other perspectives, only by exploring the integration and diversification of preschool curriculum setting methods can we better break through the limitations of preschool children’s curriculum. As kindergarten can fully accept the content of child literature of enlightenment, it can be divided.Children’s health education, language expression education, social basic knowledge education, science and culture education, and art education are five major areas. The preschool teaching content of the divided five majors needs to control all aspects of children’s growth, and it can be integrated with the courses of the three major sections [23, 24]. Then, for the literary theory part, the course content of early childhood psychology, early childhood education etc., the lecture part of literary works involves curriculum content such as language education and art education for children; the creation part of literary works involves curriculum content such as children’s art and children’s dance, as shown in Figure 1.Figure 1
Classification of child literature courses for preschool education majors.As can be seen from Figure1, compared with other normal professional courses, the child literature course of preschool education clearly shows the features of “preschool”; that is, based on the professional features of the five major fields of preschool teachers, it guides normal students to combine the content of courses in various subjects with skills in various fields and combine educational theory with teaching practice. Through the study of this course, students will be able to master literary theory, be good at text appreciation, be better than work performance, be good at creating new works, and be stronger than teaching practice, so as to have strong professional comprehensive ability.As child literature curriculum for preschool education is continuously optimized, China has made great progress in developing such courses on a large scale. The issues and defects of teaching are explored by analyzing the optimization of curriculum for preschool education thoroughly. Child literature deserves everyone’s attention and promotion. An optimization method for child literature curriculum setting in preschool education majors is proposed to extract the features of child literature by using numerical analysis methods, calculate the weight of the optimal setting space, integrate the highly similar spaces, and construct the optimal setting and development model of child literature. Intangible cultural heritage is preserved by digitization. Rather than physical existence, it is an information exchange across the globe. Hence, it differs from traditional cultural forms and includes scientific culture, social environment, and civilized science. From the perspective of literature and art, “literature” and “art” are also two aesthetic forms that complement each other. Lao She believes that “emotion and beauty is a pair of wings of literature and art; imagination is the ability to make them fly; literature is something that must be able to fly. To make people happy is the purpose of literature, and to bring people up and fly with it can make people happy. Emotion, beauty and imagination are the three features of literature.” Child literature is crucial for the physical and mental health of children [25, 26]. For the specialty of preschool education in the institutions of higher learning, it is necessary to proactively improve the setting, closely integrate quality education, and demand better professional competency and occupational accomplishment of normal students. For cultivating kindergarten teachers, child literature is more closely related to the art, music, dance, games, and other courses for children, with more continuity between preservice and postservice and the consistency of postservice development, enabling preschool teachers to continuously expand professional fields and enhance professional skills in the work. Child literature is an indispensable curriculum resource in the teaching activities of kindergarten and compulsory education. According to the existing data, in the language education activities currently carried out by kindergartens, child literature is a vital part of the teaching resources and content. Four-fifths of the Chinese courses in the primary school stage of compulsory education belong to the scope of child literature. However, the development of China’s child literature in the past three decades indicates that the problems of old story content and single expression have always been difficult to solve, and contemporary children are harder and harder to satisfy. Today, the era of e-reading has arrived. How to seize this opportunity to make children fall in love with child literature and get close to child literature through a more diversified reading experience is a question that every early childhood educator should think about.


## 4. Analysis of Example and Result

Contemporary preschool education has high requirements for preschool teachers’ comprehensive quality. A qualified preschool teacher must possess basic skills in five fields [27]. With the help of specific literary forms such as baby picture books, children’s song performances, and drama performances in child literature, it is possible to organically integrate the art, music, games, and other courses for children. In child literature creation and teaching activities, it can also cross-infiltrate the content of related courses such as child psychology to promote the transfer and integration of students’ professional abilities.The simulated experimental environment is set as a virtual data and a fully connected mesh topology that differs from the performance of 100 literature optimization models. To analyze the test data chosen in algorithm performance, graphs and the computational load of all graph nodes are randomly generated in the actual application graph. In this paper, we use the DAG generator to randomly generate anisotropic dipping optimization setup data for practical application plots, choosing a Gaussian elimination mode that is widely used in image cluster analysis and network topology analysis. Compared with the ERA algorithm, the original seed value of the particle group is 9, and the highest iteration number of the algorithm used in this paper is 31. According to the above analysis, the corresponding values of P1, P2, and P3 can be set to 0.2, 0.3, and 0.8. The average value of all experimental results is selected through multiple runs. At the same time, it is assumed that the time used in the optimization setting of the child literature course for preschool education is an adaptive function. The experimental results are shown in Figure2. The results of the experiment indicate that by comparing with the numerical analysis method and calculating the numerical analysis time, the use of the ERA algorithm can significantly reduce the optimization setting time of the child literature course for preschool education majors. With randomly selected 300 and 400 samples, the numerical analysis time is effectively reduced by about 8.4% and 9.8%. In this paper, the ERA algorithm is proposed. The main reason for the average reduction of numerical analysis time is that numerical analysis can only perform tasks with the highest real-time priority as the initial need to be completed. However, this paper proposes a numerical analysis to obtain the possibility of obtaining an approximate optimal solution by optimizing the setting of child literature courses for preschool education majors.Figure 2
Time comparison of numerical analysis of random child literature courses.This experiment uses the original algorithm and the algorithm of this paper to calculate the usage time with different amounts of data. The data specifications used this time are 10 records, 4 attributes, 100 records, and 4 attributes; 200 records, 4 attributes are guaranteed, and the minimum support is 0.1, and the minimum reliability is 0.6. Two algorithms are used as shown in Figure3.Figure 3
Comparison of the time consumption of the original algorithm and numerical analysis with different data amounts.It is found from this experiment that the time increase of the original algorithm is significant when the amount of data increases. The time of use of numerical analysis methods has remained largely unchanged. At the same time, the time per use of the numerical analysis is an order of magnitude less than the original algorithm. The results of two experiments indicate that the proposed numerical analysis method is superior to the original algorithm in both complexity and use and can maintain good performance under different support and data volumes.Taking the optimization of child literature curriculum as the experimental object, three different analysis algorithms are used to introduce child literature curriculum. The analysis time using different analysis algorithms is shown in Figure4.Figure 4
Time comparison results of numerical analysis.Analyzing Figure4, we get that under the condition of analyzing the child literature curriculum, the time required to numerically analyze the child literature curriculum is much lower than the other two analysis algorithms. The optimized setting of child literature courses can effectively improve students’ comprehensive ability and play a vital role in the entire professional learning process. It can also be seen that the key factors for the effective combination of curriculum education, second course, and performance and compilation have significant professional features. In all courses of child literature, the drama for children is quite inclusive, and multifaceted integration is carried out in different links such as script compilation, prop creation, children’s song singing and dance performance, as a platform for comprehensively showing different teaching achievements [28]. Modern teaching methods have gradually become the mainstream teaching methods in colleges and universities. Different modern educational methods based on computer software, with their strong expressiveness, are not bound by time, and combined with the features of space teaching, they have become an existing teaching method. The method of preschool education has the features of image, vividness, and intuition, which can be effectively combined with modern technology. By using different technologies such as sound and image processing technology, images can be abstracted, which can increase the capacity of preschool education and make the way of preschool education diverse. When teaching child literature to preschool children, teachers can use the Internet’s images, sounds, and literary works to vividly display and effectively fill in, can also use the image method to display the works used, apply a simple method to the process of preschool teaching, and optimize and set based on the obtained values.


## 5. Conclusion

Preschool education is a basic course in the education industry. The quality of teaching at this stage can effectively shape children’s healthy personality and help to develop good habits, which are crucial to children’s healthy growth. The present issues in optimizing child literature curriculum for preschool education are analyzed thoroughly in this paper, and the numerical analysis method is applied to the research process of curriculum optimization of child literature, laying a solid foundation for studying curriculum optimization. Optimal settings for child literature can be done by using numerical analysis methods. Exploring the optimal settings for the curriculum of child literature in preschool education can effectively optimize the relevant settings and help carry forward the heritage of literature. Based on the child literature course of preschool education major, the numerical analysis method is applied to the course setting process of child literature course of preschool education major. The case study results suggest that the proposed algorithm has certain feasibility. With the continuous development and deepening of the optimization setting of child literature courses for preschool education majors, the algorithm has been extensively applied in the optimization of child literature curriculum. However, the optimization setting of child literature for preschool education proposed in this paper also has its own problems. The numerical analysis used requires a small amount of calculation. Hence, the optimization accuracy needs to be strengthened to conduct optimization settings for child literature more reasonably.



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