Construction of Psychological Adjustment Function Model of Music Education Based on Emotional Tendency Analysis

1  Introduction

Music irrigates the spiritual home that belongs to mankind alone. Musicality is one of the important symbols of human nature. The earth where human beings live is full of rich and colorful music. Although the music loved by people living in the snowy Northeast Plain and the cloudy and humid tropical rain forest is very different [1,2], music as an art, after all, is to express the deepest emotional world in people’s hearts. This process is full of mystery. In daily life, we often see the situation using music to affect emotions, such as music in shopping malls or movies [3]. Music can create a variety of emotional atmospheres, including a lullaby that can accompany babies to sleep and a March that can inspire soldiers’ fighting spirit [4]. In addition, music education is also increasingly used to regulate psychological emotions. Students’ development core literacy mainly refers to the necessary character and development ability that students should have and can meet the needs of lifelong development and social development, including three aspects, six literacy, and eighteen basic points [5,6]. “Independent development” as one of the three aspects of core literacy, emphasizes that “autonomy” is the fundamental attribute of the human being as a subject, and that individuals can manage their own learning and life and effectively deal with the complex and changeable environment; As one of the six core qualities, “healthy life” is committed to developing students’ physical and mental health and self-management [7,8]; In addition, “sound personality”, as one of the 18 basic points, focuses on cultivating students’ positive psychological quality and can learn to regulate and manage their emotions [9]. It can be seen that the independent regulation of mental health has been used as the main line in future student development and training programs. The core quality of music education has individuality and initiative in the process of music perception, making the regulation of emotion by music education one of the elements to improve the development of core quality [10,11].

Reference [12] proposed to integrate emotional tendency analysis into music education to cultivate middle school students’ creative thinking, which is an important thinking skill of middle and primary school students in the learning stage. In music education, by integrating the analysis of emotional tendency into classroom teaching, a series of measures have been taken: (1) Changing the way of music creation; (2) Guide students to participate in classroom practice; (3) Exercise students’ reverse thinking for analysis. The full use of emotional tendency analysis in music education promotes the improvement of students’ imagination, creates more space for students, changes students’ inherent way of thinking, enables students to look at problems from multiple levels and angles, and cultivates students’ improvisation ability. Teaching practice has proved that the development of creative thinking reflects the overall quality of students. The integration of emotional tendency analysis and music education is of great significance to cultivate middle school students’ creative thinking. Reference [13] assessed the impact of the Medellin music education project in Colombia and proposed that can music soothe the soul? Many studies have confirmed the impact of culture and music education on personal well-being, and believe that music is mainly a systematic practice or skill, or an established educational supply. However, few studies have assessed the impact of music programs aimed at achieving specific goals, as music is seen as a tool for social change. As a case study, taking Medellin music school as an example, the network’s music enlightenment education project has been running for 23 years. The objective is to evaluate the economic and social impact of participation in the program, using quasi-experimental propensity score matching technology as the evaluation method. The results showed that the project significantly reduced the likelihood of participants getting involved in the conflict and made them feel better about their quality of life. Students achieve better academic performance, strengthen cultural consumption and participate in artistic activities. It is reflected by expressing the payment willingness and positive payment order of institutional beneficiaries. The work also aims to demonstrate the usefulness of the methodology in assessing the impact of cultural policies, especially in developing countries.

Although the above research has made some progress, the analysis of emotional tendency is not enough. Therefore, this paper puts forward the construction of the psychological regulation function model of music education based on emotional tendency analysis. Affective tendency analysis is a process of analyzing, processing, induction, and reasoning subjective texts with emotional color. The Internet produces a huge amount of user-engaged, valuable information about people, events, products, etc. These comments express people’s various emotional colors and emotional tendencies, such as joy, anger, sorrow, joy, criticism, praise, and so on. Based on this, potential users can read these subjective comments to see what public opinion thinks about music education. This paper designs the emotional tendency to analyze the psychological adjustment function framework of music education and establishes the evaluation system of core literacy orientation. Different evaluation methods were used to obtain the evaluation results. Design four levels of the psychological adjustment function model of music education, and put forward the psychological adjustment function of music education. The results show that the absolute value of the data acquisition error of the designed model is minimum. It is less affected by the bad coefficient. It can quickly converge to the best state in the actual forecasting process.

2  Construct the Psychological Adjustment Function of Music Education under the Analysis of the Emotional Tendency

Facing the current situation of mental health education, first, there are misunderstandings in the understanding of mental health education, resulting in the lack of motivation for action in school mental health education; Second, there is a lack of research on the teaching materials and methods of mental health education, and the school mental health education lacks the necessary bridge and support, under the analysis of emotional tendency, this paper puts forward the psychological adjustment function of music education from the elements of music teaching content, goal, process, and evaluation of mental health education. The principles are: omnidirectional principle, authoritative principle, sensitivity principle, consistency principle, and executive principle; The details are as follows:

(1)   Omnidirectional principle: the establishment of this principle system should reflect the problems between music education and psychological adjustment in an all-round way;

(2)   Authority principle: this principle system can measure the internal relationship between music education and psychological regulation function under the analysis of emotional tendency;

(3)   Sensitivity principle: this principle system can accurately and effectively reflect the subtle changes between music education and psychological adjustment function;

(4)   Consistency principle: the principle system should be consistent with the local actual development, and realistically reflect the problems between music education and psychological regulation function;

(5)   Executive principle: the principle system has strong executive power, and the calculation method is simple and scientific.

2.1 Design the Functional Framework of Psychological Adjustment of Music Education Based on Emotional Tendency Analysis

Under the analysis of emotional tendency, according to the goal of mental health education in Colleges and universities, the analysis of emotional tendency is infiltrated into the content of music education [14], and the functional framework of psychological regulation of music education is designed as shown in Fig. 1.

Figure 1: Structure of psychological adjustment function of music education

According to the psychological adjustment function architecture of music education shown in Fig. 1, music teaching content is taken as the basis for the construction of psychological adjustment function architecture, music teaching objectives as the guidance for the construction of psychological adjustment function architecture, music teaching process as the core of the construction of psychological adjustment function architecture, and music teaching evaluation as the key to the construction of psychological adjustment function architecture.

2.1.1 Construction Orientation of Psychological Regulation Function Framework: Music Teaching Objectives

The music teaching goal of mental health education needs to be formulated by analyzing the psychological development characteristics of college students according to the change in college students’ life and studies in colleges and universities [15,16]. Based on this, the objectives of information health education for college students formulated in this study are shown in Table 1.

It can be seen from Table 1 that the objectives of information health education for college students are general objectives, direct objectives, final objectives, specific objectives, and basic objectives; The specific content of the general goal is to improve psychological quality and develop in an all-round way; The specific content of the direct goal is to enhance the endurance and adaptability of college students; The specific content of the ultimate goal is to improve the personality of college students and promote their all-round development; The specific content of the specific goal is to adapt to the academic life of colleges and universities as soon as possible; Establish correct three views; Cultivating college students’ mentality of study and life; Guide students to establish a correct outlook on job selection. The specific content of the basic goal is to make students develop healthily and comprehensively. The goal of college students’ information health education is the inevitable requirement to improve the overall quality of college students, an effective way to innovate college students’ education, an important measure to improve the college education curriculum system, an urgent need to promote the healthy growth of college students, and a lifelong mission to fully stimulate the potential of college students.

2.1.2 Construction Basis of Psychological Regulation Function Framework: Music Teaching Content

Based on the educational objectives shown in Table 1, emotional tendency analysis is integrated into the teaching content. Therefore, the main contents of mental health in Colleges and universities are divided into the popularization of basic knowledge, the cultivation of good mental health habits, emotional self-regulation, the understanding of psychological abnormalities, and the psychological guidance of college students [17]. The specific contents of each item are shown in Table 2.

The contents of mental health education in Colleges and universities are shown in Table 2, following the educational concept of “human development-oriented”, and under the analysis of emotional tendency, information-based means are adopted to disseminate the teaching contents of mental health, so as to realize the organic combination of the teaching contents of mental health and the analysis of emotional tendency.

2.1.3 Construction Core of Psychological Regulation Function Framework: Music Teaching Process

The teaching process is a process to show the teaching content and improve the comprehensive ability and overall quality of college students in an efficient, time-saving, and simple way according to the teaching objectives [18]. However, in the process of music teaching, the resources available to teachers are limited. In some links of teaching, it limits students’ free play and affects the teaching effect. Therefore, combined with the characteristics of emotional tendency analysis, let emotional tendency analysis and music teaching permeate and integrate with each other, and realize the integration of the teaching process through the three links of creating a situation-guiding exploration, communication, and interaction-meaning construction, summary, and feedback-application expansion.

(1)   Create situations-guide exploration. Under the analysis of emotional tendency, the use of modern technologies such as multimedia and virtual reality can create teaching situations in the mental health classroom, impact the thoughts of college students in many aspects such as perception and emotion, attract students to understand and learn mental health courses, and stimulate the interest of college students in discovering, analyzing and solving problems, Achieve the goal of mental health teaching [19].

(2)   Communication and interaction-meaning construction. In the face of a variety of modern emotional tendency analyses, a multi-dimensional interactive activity organization form can be adopted, as shown in Fig. 2.

Figure 2: Activity organization form of multi-dimensional interaction

In the form of interaction, as shown in Fig. 2, the relationship between teachers and students is equal. At this time, teachers can learn about students’ psychological status from college students, or directly guide students’ psychological development as friends, playing the role of teaching and learning [20].

(3)   Summary feedback-application extension. In the process of music teaching, teachers need to constantly summarize students’ activities, participation, speech, attention, and other classroom performance, understand the teaching effect, adjust teaching methods, expand cooperation, stimulate, tap, and mobilize college students’ own potential, so that college students can learn to develop their strengths and avoid their weaknesses, recover their self-confidence, and improve their self-awareness, evaluation Monitor the level and ability of college students to avoid adverse psychological problems such as inferiority complex, weariness, and fear due to environmental problems.

2.1.4 Key to the Construction of Integration Mode of Psychological Regulation Function Structure: Music Teaching Evaluation

The evaluation of mental health education can quickly find the problems existing in mental health education in Colleges and universities. It is also an important test means for the psychological development of college students and the effect of mental health education [21,22]. According to the evaluation results, the goal, content, and process of mental health education can be adjusted in time, so as to improve the effectiveness of mental health education.

From the teaching objectives of mental health education, we can see that the teaching evaluation of integrated mode needs to pay attention to the all-around development of college students [23,24]. Therefore, it is necessary to evaluate the effect of mental health education on each college student from a comprehensive, holistic and developmental perspective, rather than judge each college student directly through the results.

Affective tendency analysis has the characteristics of timely feedback, no restriction of time and place, tracking and monitoring, convenient management, and so on. Under the condition of health education, a psychological evaluation can be integrated by means of information technology [25]. The diversified operation process is as follows: using SPSS, Excel, learning tracking software, psychological measurement software, etc., establish the psychological development files of college students, or establish an evaluation website with multiple evaluation functions, record each student’s emotions, study, life, personality, family situation, communication, and other aspects, and understand and evaluate each college student’s ability, attitude quality, and psychological development track, so as to find the problems, and timely adopt scientific methods to guide the development of college students and adjust their psychological state [26,27].

In addition, the learning situation tracked and recorded in the archives can evaluate the effectiveness of mental health education and feedback information such as the objectives, process, and content of mental health education. This feedback information can enable teachers to adjust the deficiencies in teaching plans and methods, so as to achieve the purpose of quickly and effectively solving students’ mental health problems.

2.2 Establish a Core Literacy-Oriented Evaluation System

By analyzing the framework and evaluation system of psychological core literacy in different regions and countries, it is not difficult to find that although there are some differences in content, the fundamental purpose and essence are to cultivate comprehensive talents needed by society, which also provides a certain reference for the establishment of the core literacy-oriented evaluation system in this paper [28]. The psychological core quality of Chinese college students should mainly start from “the necessary character and key ability to adapt to the needs of development and social development for life”, according to the concept of college students’ psychological core quality orientation and key ability, and with reference to the existing standards in different regions and relevant references [29,30], combined with the current actual situation of China, Some evaluation indexes are obtained from the law of college students’ psychological growth and development, they are professional quality, Humanistic Heritage, autonomous learning, healthy life, responsibility, and practical ability. The specific contents are as follows:

(1)   Professional quality

Reasonable knowledge structure: mainly including “t” structure and cross structure;

Basic knowledge: enable students to understand, update and adjust their knowledge;

Scientific spirit: an important part of training and development, and establishing correct values;

Career planning: an important part of training and development, and establishing correct values.

(2)   Humanistic details

Basis of traditional culture: ethics is the core content of education and the inheritance of traditional culture;

Aesthetic consciousness: cultivating aesthetic taste can enhance the overall quality and maintain a correct attitude;

Modern civilized habits: conducive to the formation of a sound personality and the correction of bad habits;

International vision: understand world history and evaluate national status from the perspective of the world.

(3)   Autonomous learning

Active exploration: in science, humanities, language, and other fields;

Improve learning methods: the purpose is to improve learning efficiency and achieve learning objectives;

Establish the awareness of lifelong learning: only by ensuring the awareness of active learning can we continuously improve our own development.

(4)   Healthy life

Physical health: physical health is the basis of learning and development, and cultivates a positive and confident attitude;

Mental health: maintain a correct world outlook and coordinate the relationship between mental activities such as meaning, knowledge, and behavior;

Emotional stability: it can reflect the temperament type and mental health status of college students.

(5)   Responsibility bearing

National Identity: psychological activities to confirm what kind of country they belong to and their national attributes;

Social responsibility: it is the inevitable requirement of carrying forward the national spirit and the spirit of the times;

Problem-solving ability: help students reduce learning pressure and prevent depression;

Awareness of law and rules: it is not only the basic quality that college students should have but also a kind of psychological experience.

(6)   Practical ability

Innovation and Entrepreneurship: carry out entrepreneurial activities on the basis of innovation;

Teamwork: including service spirit, cooperation consciousness, and spiritual skills;

Social participation: refers to college students’ understanding, understanding, attitude towards national politics, society, and culture, and actual participation behavior.

It can be seen from the above contents that the guiding evaluation goal of college students’ core literacy should correspond to the framework of psychological core literacy [31]. The whole evaluation system plays an important role in the process of model construction, providing guidance for the psychological regulation function model of music education.

2.3 Selection of Evaluation Methods

Among the evaluation methods of the psychological adjustment function model of music education, a variety of evaluation methods are selected for compatible applications [32]. This method is a comprehensive evaluation method based on fuzzy mathematics, which evaluates the global integrity of things or objects constrained by many methods and factors. Select an index A = (a1,  a2, . . ., an), which corresponds to the established evaluation index system. In addition, determine the evaluation set B= (b1,  b2, . . ., bm), and divide the state of the evaluation object into levels. Each level corresponds to a fuzzy subset. This model divides the evaluation indexes of the psychological regulation function of music education into three levels: good, general, and poor [33,34]. The fuzzy relation matrix is established. After the fuzzy subset is constructed, the evaluated indexes need to be quantified from various factors in sequence. The membership matrix is as follows:

C=[c11c12…c1mc21c22…c2m…………cn1cn2…cnm]×A×B(1)

In formula (1), cnm represents the element in row n and column m, and represents the membership of an evaluated student to the fuzzy subset of cm grade from the perspective of index cn. Determine the weight vector of evaluation factors and complete normalization before final synthesis [35]. Synthesize the weight vector and fuzzy relation matrix to obtain the fuzzy comprehensive evaluation result vector D. The calculation process is as follows:

D=E×C=(s1, s2, …, sm)(2)

In formula (1), E represents the index evaluation set, and sm represents the overall membership of the evaluated students to the grade fuzzy subset. In order to quantify the evaluation results, the hundred mark system is used to assign scores to each evaluation grade. Different scoring methods will lead to different evaluation results.

3  Construct the Model of Realizing the Psychological Adjustment Function of Music Education

The psychological regulation function model of music education uses information storage and neural network learning ability to optimize the control rules and establishes membership functions and different output function rules for different learning samples and language variables so that the model has an adaptive self-learning function.

3.1 Level of Psychological Adjustment Function Model of Music Education

The psychological adjustment function model of music education has four layers, and the meaning of nodes in each layer is as follows:

Layer 1: Input signal fuzzification processing, and the output function of processing node a is:

Wa=Rr×Fo(3)

In formula (3), Rr represents the length of node r belonging to feature point R, and the corresponding parameter set can be obtained according to the correlation of different variables. The fuzzy operator calculation formula of each processing node A is as follows:

WA=Wa×Wc(4)

In formula (4), Wc represents the output function of processing node c;

Layer 2: Process nodes a and A to obtain normalized credibility W′;

Layer 3: After the node a and A are processed in layer 2, the adaptive output results can be obtained:

Q=W′×(αia1+βia2)(5)

In formula (5): αi, a1, βi and a2 all represent subsequent parameters;

The fourth layer: the node realizes the fuzzification process, so as to obtain the total output result.

Based on the four-tier structure of the psychological adjustment function model of music education, a database is constructed. The database separates the client and server, making the program distributed evenly, as shown in Fig. 3.

Figure 3: Database of psychological regulation function model of music education

The database needs a TCP/IP network connection. In this LAN, the client directly connects to the main process of the database, establishes a new service for user access requests, and obtains access data through web page mode.

3.2 Psychological Adjustment Function of Music Education

According to the actual operation object’s psychological and emotional tendency of users, dynamically judge the psychological adjustment needs of music education, and analyze the psychological adjustment function of music education in combination with the adjustment feasibility analysis.

The overall task of the function development of the psychological adjustment model of music education is to systematically, standardize, and automatically manage and analyze the psychological analysis of users, and realize the unified recording of historical data. The model function analysis is realized on the basis of the overall architecture of system development. The functions realized include:

(1)   Student-related information collection: including name, age, gender, main learning tasks, learning situation, etc.

(2)   Psychological test question bank management: set different psychological test question types according to students of different grades, including the maintenance of the set psychological test question bank, such as multiple-choice questions and blank questions of psychological test.

(3)   Data analysis: analyze the psychological test results of different students [36].

(4)   Result feedback: provide information feedback on the psychological status of the tested object, provide corresponding test results and countermeasures, and give a corresponding psychological counseling scheme, so that the tested user can better make a psychological adjustment.

(5)   Answer process: this method aims at each answer operation made by the test students when entering the database, and obtains different test content questions according to the selected corresponding question bank, which is convenient to distinguish the answer operations of different target students.

(6)   Result query: score the answer process of each test or give feedback on the evaluation information. After logging into the system, the subject will get the evaluation results immediately.

(7)   Put forward suggestions: according to the different conditions of the test results, give corresponding health guidance, so that the test students can find their mental health status in time in their daily study.

3.3 Construction of Psychological Regulation Function Model of Music Education

Using the above psychological adjustment function of music education, we can obtain the mental health data with important practical significance at different stages, and then construct the psychological adjustment function model of music education to complete the task of efficient data collection, so as to provide a theoretical basis for the field of mental health state analysis.

The distributed data collection model analyzes the emotional tendency, develops the model by using transmission control protocol/Internet protocol, and divides the model according to the performance of the plate. The overall structure of the model is shown in Fig. 4.

Figure 4: Structure diagram of psychological adjustment function model of music education

It can be seen from Fig. 4 that the first process in the data collection process of the music education psychological adjustment function model is configuration preprocessing. Configuration preprocessing is the basis of distributed data collection. After obtaining detailed configuration information, it needs to go through two parts of preprocessing. Firstly, calibrate and distribute the measurement point configuration information. After double calibration, remove the point data that is not available in the mental health data source. Prevent inaccurate data collection due to different types of measuring points on the server and data source. Secondly, it is necessary to reconstruct the mapping table of source measurement points and target measurement points. String features are generally used as key values in information searches. The speed of data search and processing is slow and the performance is slightly poor. In the preprocessing stage, some attribute values are selected to reconstruct the mapping table, which can enhance the search rate, reduce the packet length and improve the transmission quality. The second process is data transformation. After reading the current mental health data from the source database, three kinds of data transformation should be carried out according to the measurement point configuration. This completes the construction of the psychological regulation function model of music education based on the analysis of emotional tendency.

4  Experimental Analysis

In order to verify the effect and feasibility of the psychological regulation function model of music education based on emotional tendency analysis, an experiment is designed to verify it. After the model is successfully constructed, the implementation of the model needs to start from the actual perspective of evaluation, analyze the convenient and reasonable practical needs, under the analysis of emotional tendency, starting from the elements of music teaching content, goal, process, and evaluation of mental health education, this paper puts forward the psychological regulation model test of music education according to this principle, verify the model, and design the test environment of the model. The hardware environment of the experimental platform includes R4900G32U database server Android mobile terminal and wireless WiFi running network; A small tower server and a data card tri network mobile terminal. The platform also needs more than 150 mbits of network bandwidth. The software environment is: it mainly refers to the software tool for developing the psychological adjustment function model of music education. Because the model verification is based on the experimental platform, an experimental platform application development environment is needed for verification. It is planned to use an integrated software development environment, an SDK plug-in, and an SQL Server 2005 background database. Other parameter configurations in the experimental test environment are shown in Table 3:

Under the conditions of experimental parameters in Table 3, the construction and processing flow of music education psychological regulation function model based on emotional tendency analysis is shown in Fig. 5.

Figure 5: Construction and processing flow of psychological regulation function model of music education

It can be seen from Fig. 5 that by calling the data collector to search for keywords about the psychological state of music education in the network, in the data storage component of the data collector, managers regularly store keywords and key behaviors in the component, so as to improve the accuracy of data collection. The construction and processing process of the psychological regulation function model of music education is to first extract the psychological keywords and key behaviors in the storage components, then start the data acquisition module and call the cloud computing technology to collect data on the Internet. The absolute value of distributed acquisition error of mental health data of the three models is shown in Fig. 6.

Figure 6: Comparison of absolute value of distributed acquisition error of mental health data

It can be seen from Fig. 6 that the absolute value of the data acquisition error of the model in this paper is the smallest, which does not exceed 0.2. The detection error between the model in reference [12] and the model in reference [13] is high, and the stability of the method in the acquisition process is slightly poor. The reason for this phenomenon is that this model designs the level of psychological regulation function model of music education uses information storage and neural network learning ability optimizes control rules and establishes membership functions and different output function rules from different learning samples and language variables, so that the model has adaptive self-learning function and can obtain mental health data with a reference value, The overall accuracy of the model is improved, and the absolute value of error is also reduced. According to the large time span and other properties of mental health data, it can be seen that most of these data collection processes have certain unstable factors. The unstable factors are formulated as bad coefficients, and the value range is 0∼1. Compare the data acquisition time of the three models, and the results are shown in Table 4.

It can be seen from Table 4 that the model in this paper is less affected by the bad coefficient and has little difference from the value of the bad coefficient. It can effectively resist the low collection efficiency of music education psychological adjustment caused by the complex external environment and has strong practicability and robustness, which provides a sufficient guarantee for the rapid collection and analysis of the music education psychological adjustment health data.

The relationship between comfort and iteration times of music education psychological adjustment function model can show the convergence ability of the model. The relationship curve between comfort and iteration times of the three models when predicting data samples is shown in Fig. 7.

Figure 7: Relationship curve between comfort and iteration times of three models

According to the analysis of Fig. 7, with the increase in the number of iterations, the fitness of the three models also increases. When the fitness reaches the requirements of the model prediction, the fitness remains horizontal with the increase in the number of iterations. The fitness curve of this model starts to maintain a horizontal state when the number of iterations is 7, which is less than that of the other two models, and the fitness value of this model is always higher than that of the other two models. Therefore, this model can quickly converge to the best state in the actual prediction process and has a strong convergence ability.

To sum up, the designed music education psychological adjustment function model based on emotional tendency analysis has a small absolute value of error in the process of collecting data, is less affected by the adverse coefficient, and has strong convergence performance.

5  Conclusions and Prospects

5.1 Conclusion

In the face of the highly competitive social environment, mental health problems have gradually attracted the attention of the public. In order to achieve accurate mental health data analysis, the independent regulator of mental health has been used as the main line in the future student development and training program. The core quality of music education has individuality and initiative in the process of music perception, making the regulation of emotion in music education one of the elements to improve and develop the core quality, The constructed model effectively verifies the above theory.

(1)   The absolute value of data collection error of the psychological adjustment function model of music education based on emotion orientation analysis is the smallest, which is not more than 0.2;

(2)   The model in this paper is less affected by the bad coefficient and has a small difference from the bad coefficient value, which can effectively resist the problem of low efficiency in the collection of psychological adjustment of music education caused by the complex external environment and has good performance;

(3)   As the number of iterations increases, the fitness curve of the model in this paper begins to maintain a level state when the number of iterations is 7, and it can converge to the optimal state rapidly in the actual prediction process, with strong convergence ability.

5.2 Prospects

(1)   The research on the psychological regulation function of music education is an important supplement to the research on the function of music education. It is not only reflected in the extended development of the theoretical context but also filled in the blank in the empirical research methods. In the future research content, the pursuit and pursuit of the educational mission of developing students’ core literacy is a response to the urgent need for the mental health development of contemporary college students, Theoretically, it also reflects the historical continuity of the research on the function of music education.

(2)   From the perspective of the topic selection of the psychological regulation function of music education, the next research on the function of music education can be explained and discriminated from the perspective of theoretical speculation. It should not only highlight the aesthetic uniqueness of music education but also reflect the scientific characteristics guided by psychological experimental methods and the individual perspective of qualitative research methods. The innovation of research methods is mainly reflected in the application of mixed methods, the empirical test of the music education function model, and the application of R language programming in data analysis and statistics.

(3)   So far, the application of mixed-method research has not been found in the research field of music education in China. Future research, through the organic integration of quantitative research and qualitative research, on the psychological regulation function of music education, not only relies on the accurate data of laboratory experiments but also reflects the qualitative transformation of experimental data, It makes the personalized realization of the psychological adjustment function of music education possible. The mixed method research adds more individual experience situations to the quantitative research stage of this study and also ensures the scientificity of the qualitative research of personalized intervention exploration in the selection of measurement tools and subjects.

Funding Statement: This work supported by Shandong Provincial Social Science Planning Research Project “Research on Inheritance and Innovation of Shandong Wooden Clappers Culture” (20CCXJ26).

Author Contributions: The raw data supporting the conclusions of this article will be made available by the author, without undue reservation.

Conflicts of Interest: The author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflicts of interest.

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