bluuebunny/crossref_metadata_2025 huggingface dataset:
Optimization of product marketing and management path of cross-border e-commerce enterprises relying on big data technology
Authors: Luo Yangxue
Published: February 2024

Precision marketing is an intrinsic motivation for enterprises as a strategic consideration and guiding principle. In this paper, we first constructed a cross-border e-commerce precision marketing and management strategy based on big data technology. We mined user data and analyzed user behavior and characteristics. Moreover, the initial group division of users is carried out to realize the construction of user segmentation and user portrait, followed by the prediction of user purchasing behavior based on the Stacking algorithm and the use of a collaborative filtering algorithm to carry out accurate recommendations for different user groups. The effectiveness of the marketing management strategy is evaluated based on the level of customer value perception of Enterprise H. By using regression modeling, the impact of the marketing management method on customer loyalty and user purchase intention is investigated. The results show that the perceived level of each dimension of precision marketing is between (4,5.6), and the perceived risk is 3.657. The degree of explanation of the precision marketing model on the customer’s willingness to buy is 78.8%, and the t-value significance is 0.005, which reaches a significant level, indicating that the marketing management model is effective. The purpose of this study is to provide practical marketing management suggestions for enterprises that can obtain and maintain competitive advantages in fierce market competition, which will promote enterprise performance improvement and stable growth.
Research on the Application of Information Fusion Technology in the Choreography of Hezhen Dance
Authors: An Lina
Published: February 2024

The difficulty of creating and choreographing group dances lies in the need for dozens or even hundreds of actors and choreographers to work together to complete the workload and its complexity. A computer-aided dance creation and choreography technology based on information fusion technology is proposed in this paper as a solution to this problem. The movement path is extracted from the movement trajectory of the character’s root joints using information fusion technology. The interactive interface is used to create the target path, which is then mapped to the dance movement. The actor’s dance is freely edited based on the characteristics of their body’s movement posture. To confirm the effectiveness of the method, the Herzhe ‘Fish Eagle Dance’ dance movements were tested with dance creation and choreography technology. The results show that the spatiality intensity of the first and second movement segments was found to be 0.1618 and 0.4555, respectively, during the choreography process. The standard and measured values of the movement angle of the left arm joints appeared to have the maximum difference value of 0.19771 between 9~10 s. The choreographers can use these resultant parameters to optimize the cumbersome, repetitive rehearsal process by providing data references.
Promoting the Reform of Civic and Political Education to Improve the Quality of Talent Cultivation Based on the Background of Deep Learning
Authors: Chen Yujun
Published: February 2024

With the rapid development of the times, civic education and talent cultivation have become an important goal of the reform of civic education, and the reform of civic education under the background of deep learning and the improvement of the quality of talent cultivation has also become the research direction of today’s education reform. Based on the deep learning background, this paper constructs a deep learning model of civic and political education that combines the elements of the education model and evaluation elements. Based on the objectives and specifications of talent cultivation, the curriculum system of civic and political education is designed in reverse, through the framework of deep learning Civic and political education reform talent cultivation combined with factor analysis and multiple linear regression analysis to construct a deep learning-oriented evaluation system for talent cultivation in Civic and political education. The evaluation data are analyzed through practical verification, and in the results of the statistical analysis of the Civic and Political Education Reform, the standard deviation of the overall average score is 0.51 and less than 0.65, and its internal consistency is high. In the results of the talent cultivation survey and analysis, it can be seen that the frequency of scores from 131 to 140 is the highest, the frequency of scores from 151 to 160 is the lowest, and the overall number of high scores is higher, comparing the quality of the effect of talent cultivation, the level of achievement, student enthusiasm, the level of cultivation of comprehensive competence and student satisfaction have been improved compared with the traditional Civic Education. This study can effectively improve the quality and effect of talent cultivation, promote the reform process of Civics education in the context of deep learning, and provide practical significance for the reform of Civics education.
Challenges and Ability Enhancement of College Students’ Employment and Entrepreneurship in the Context of Big Data
Authors: Zhai Wenqiu
Published: February 2024

College students’ entrepreneurship and employment have been considered an important factor in the country’s social and economic development. This paper firstly establishes a multivariate linear regression model, uses the least squares method and the great likelihood estimation method to estimate the parameters of the model, and uses the T-test and F-test to test the model. Then, we take the employment and entrepreneurship level of students in 10 colleges and universities in X urban area as an example to explore the feelings and reactions to the pressure of employment and entrepreneurship of college students and dig out the challenging factors faced by students’ employment and entrepreneurship. Finally, the regression model was used to test the influence of each factor on college students’ entrepreneurship and employment and to explore the cultivation path of college students’ employment and entrepreneurship ability enhancement. The raw mean score of college students’ employment and entrepreneurship pressure feeling is 3.046±0.418, and the explanatory strength of entrepreneurial environment and personal traits on employment and entrepreneurship intention is 43.7% and 37.7%, respectively, which indicates that personal traits and employment and entrepreneurship environment have a significant influence on college students’ employment and entrepreneurship. This study helps to promote the reform of innovation and entrepreneurship education in colleges and universities, improve the talent cultivation mechanism, and provide a positive reference value for the research on the cultivation of employment and entrepreneurship ability of college students.
Exploring the Impact of Digital Shared Services in Finance on Corporate Treasurers’ Job Anxiety
Authors: Guo Yuying
Published: February 2024

It has become a trend for enterprises to establish financial shared service centers for digital financial transformation, but the emotional impact of this transformation on the original financial staff of enterprises has been neglected. In this paper, we collect relevant intranet texts of enterprises, mine the emotions of the collected texts through the LDA theme algorithm, use the improved LSTM model to classify and identify the emotions of the collected texts, and construct the LDA-BiLSTM sentiment analysis model to analyze the anxiety condition of the financial staff of enterprises. The efficiency of LDA can be improved by using the weighted median to deal with outliers. Two LSTM networks are combined to form a BiLSTM network to improve the problem of inaccurate judgment of sentiment indicators by a single LSTM. Finally, the model is used to empirically analyze the emotions of financial staff before and after the transformation of an enterprise’s financial digital service. Negative feelings that are linked to anxiety have an accuracy rate of 95.23%. The frequency of separation after the transition was as high as 0.5, and the frequency of dismissal was as high as 0.423. Overall sentiment scores were lower than 0.7. After the transition, the number of people worried about negative feelings related to anxiety rose from 32% to 64%. Finance professionals are experiencing a significant increase in anxiety due to the post-transition of the enterprise.
Research on the efficiency evaluation of rural festivals based on DEA modeling
Authors: Qiao Man
Published: February 2024

As a special form of cultural tourism, rural festival activities have a significant driving effect on regional development. Based on the DEA model, this paper constructs a three-stage DEA model by adjusting the decision-making unit and combines the Malmquist index method at each stage to establish a three-stage DEA-Malmquist’s efficiency assessment model to launch the research on the efficiency of rural festival activities. On this basis, the efficiency evaluation index system of rural festival activities was constructed, and 15 rural festivals in place M from 2015 to 2020 were selected as research objects, and the model was applied to analyze their static efficiency and dynamic total factor productivity. The study shows that in the first stage, there are 8 rural festival activities with a comprehensive efficiency greater than 1 (53.33%), and the comprehensive efficiency of the eastern and central parts of Land M is greater than 1, and the overall rural festival activities in this land are at a higher level. Seven rural festivals in Stage 1 had combined efficiencies greater than 1 (46.67%), with both East and Central having combined efficiencies greater than 1. Seven festivals (46.67%) in Stage 3 had combined efficiencies that were DEA effective, and the regional rankings of combined efficiencies for all four years between 2015 and 2020 were East>Central>West. The Malmquist Index mean before adjustment was 1.103, which was a 10.3% improvement, while the mean after adjustment was 1.091, which was a 9.1% improvement. Changes in technical efficiency and the rate of technological progress have a combined impact on the efficiency of rural festivals.
Study on the Application of Digital Media Animation in Folk Culture Dissemination in the 2D Animated Short Film “Red Bank” under the Perspective of Cultural Integration
Authors: Zheng Di
Published: February 2024

Digital media animation can better promote folk culture inheritance and innovation, and at the same time, folk culture also provides rich inspiration materials and cultural elements for the creation of digital media animation. In this paper, the mathematical structure of the threshold regression model is first sorted out, and the parameters of the model are estimated by using the search method and the smooth least squares method. Secondly, it analyzes the promotion effect of digital media animation on the dissemination of folk culture, takes the 2D animated short film “Red Bank” as a research example, and designs a questionnaire to obtain the research data. Finally, the benchmark regression model and threshold regression model were established with folk culture dissemination as the dependent variable, and benchmark regression, robustness test, and threshold effect verification were conducted. The results show that the audiovisual language, creation method, and display medium of digital media animation are significantly correlated with folk culture dissemination at 1% level, and its R2 fit value reaches 0.7439. The level of development of digital media technology has an obvious double-threshold effect on the dissemination of folk culture, and its double-threshold value is 1.028 and 2.251 respectively. Digital media animation can enhance the dissemination medium of folk culture, expand the dissemination medium, and improve the quality of folk culture. Communication media and enhance the influence of folk culture.
Optimization of the Improvement Path of Legal Supervision System in the Information Age
Authors: Wang Zhao , Qin Na
Published: February 2024

In the information age, the traditional legal supervision system has exposed many problems in practice, and has been unable to meet the needs of the development of governance modernization. The text of the legal supervision system is analyzed using text feature extraction to examine the supervisory content and effect. The TF-IDF algorithm is used to set the highest threshold and the lowest threshold to reduce the dimensionality of the feature items in the text of the legal supervision and improve the efficiency of text feature extraction. Add TextRank algorithm to annotate the lexical properties in the legal supervision system, remove the deactivated words, and sort the keyword PR values of the nodes to derive the most important keywords. The LDA model is used to divide the subject of legal supervision text, and the corresponding optimization strategy is explored according to the current situation of legal supervision content and the supervision effect under different supervision subjects. The results show that the most influential factor in state supervision is the soundness of legal documents, with an impact score of 4.1586, and the grade in the effectiveness score of the soundness of legal documents is average, indicating that state supervision still needs to be strengthened in the piece of soundness of legal documents. The effectiveness score of supervision awareness in the effectiveness score of social supervision is 50.0694, which indicates that the cultivation of supervision awareness should be emphasized in the legal supervision system.
Dilemmas Facing College Labor Education in the Context of Deep Learning and the Way of Innovative Development
Authors: Yang Weimin
Published: February 2024

Due to the influence of the background of the era and its ideological and cognitive factors, some college students lack independent labor ability and awareness, and it is necessary to build a labor education system that meets the requirements of the new era to further improve the effectiveness of educating people. By updating the pheromone, the ant colony algorithm is introduced to improve the convergence speed of the basic clustering algorithm. A linear combination of average similarity and cosine distance function is used to cluster labor education-related data, and the probability conversion function is used to increase the accuracy of clustering. The dilemmas that confront labor education in colleges and universities become clustered after a finite number of iterations. And quantitative analysis is carried out from the two aspects of learning quality of labor education in colleges and the influence of learner characteristics on learning effect to explore the innovative road of labor education in colleges and universities. The results show that: in the analysis of learning quality, learners’ average learning readiness is the highest (M=3.89, S=0.49), and the cluster centers corresponding to the sub-dimensions of “knowledge reserve”, “learning attitude” and “learning skills” are 3.66, 4.33 and 3.98. The mean value of “learning skills” is the highest, with 0.875 learners above the medium level, indicating that most of the learners think they can conduct independent learning in labor technology. The development of a labor education model is given an innovative direction by this study.
The Application of Central Plains Regional Culture in Commercial Space Design under the View of Artificial Intelligence
Authors: Yue Lu
Published: February 2024

The rapid advancement of the internationalization process has led to the gradual labeling and commoditization of commercial space, which is detached from the connotation of regional culture. This paper establishes a commercial space layout model and a commercial space layout optimization design process based on Bayesian network, combined with the geometric characteristics and layout attributes of commercial space layout. It also utilizes Simpson’s index and kernel density analysis to explore the influencing factors of regional culture integration into commercial space design and finally takes the design of comprehensive commercial space with regional characteristics of culture in the Central Plains as a research case to specifically explore the feasibility of integrating regional cultural characteristics into commercial space design. The results show that in the process of designing the commercial space of regional culture in the Central Plains, the audiovisual comfort reaches its best when the space aspect ratio is about 1.42 and the color saturation is about 25.05. The layout effect is the best with a visual exposure degree of 995 for the row and column layout. The integration of regional culture into commercial space design can be referenced by this study.
Analysis of the influence of red culture on students’ patriotism education in multimedia environment
Authors: Zhang Li
Published: February 2024

During the multimedia era, the nurturing function of red culture has become an important hand in the development of patriotic education in colleges and universities. The use of factor analysis and gray correlation rules are used in this paper to analyze the influence of different forms of red culture on patriotism education. The relationship between red culture and patriotism education is obtained by calculating the common degree of variables of the influence of red culture on patriotism education, and the public factors in red culture are extracted by using the method of principal component analysis. Combined with the gray correlation to calculate the correlation coefficients of different red culture public factors on the content of patriotism education, and based on the correlation coefficients to judge the degree of influence of red culture factors on patriotism education. The results show that the correlation coefficient between red behavioral culture and moral outlook education is 0.89814, and the correlation coefficient between red behavioral culture and cultural education is 0.810615, which indicates that red behavioral culture is conducive to the shaping of students’ moral outlook and cultural outlook. Red spiritual culture has a deeper influence on moral outlook and cultural outlook in patriotism education, the corresponding correlation coefficients are 0.89117 and 0.86851 respectively, which indicates that red spiritual culture can provide spiritual power for the realization of the Chinese dream.
Research on Employment and Entrepreneurship Work of College Students Based on Multi-Objective Planning Modeling
Authors: Feng Jie
Published: February 2024

Strengthening the employment and entrepreneurship guidance for educated people to meet the realistic needs of social development for high-quality talents deserves in-depth study. This paper constructs a multi-objective planning model for college students’ employment and entrepreneurship, sets the objective function and state model of college students’ employment and entrepreneurship through the demand of college students’ employment market, and solves the model according to the constraints of priority ranking. From the perspective of talent supply, the proposed model is combined to plan the supply and structure of talents, and the regression model is used to predict the demand for college students’ employment and entrepreneurship. The scientificity and validity of the proposed planning model are verified by analyzing the effect of applying the model to college students in L City and analyzing the order of employment and entrepreneurship preferences. The results show that the preference weights of college students whose family economic status is particularly poor for employment and entrepreneurship geography, salary, enterprise size, unit nature, and job position are 0.187, 0.175, 0.204, 0.147, 0.287, indicating that job position preference is more valued in the process of choosing a career. The mean value of college students’ first-time employment and entrepreneurship rate is higher than that of the year 2019 by 0.051 in the year 2022. The application of a multi-objective planning model of college students’ employment and entrepreneurship can improve the employment and entrepreneurship rate, and promote the innovation and development of the guidance work of employment and entrepreneurship channel and career choice development of college and university-educated people.
Research on the Development Path of Sports Culture and Athletic Training in the Perspective of Intelligent Sports
Authors: Guo Cheng , Xu Mian
Published: February 2024

Based on the fact that sports culture, as an important part of social culture, is also one of the key contents of the construction of social-ecological civilization, this paper proposes a smart sports training ecosystem based on the integration and development of artificial intelligence and sports culture sports training. Investigating the Evolution of Sports Culture and Athletic Training through the Lens of Intelligent Sports The foreground and background separation is used to obtain the user’s skeletal features, and the initial skeletal feature data is filtered for the abnormal data that will cause the skeletal data-position deviation, followed by optimizing the monitoring and guidance functions of the smart sports training ecosystem through the Hidden Markov-based motion recognition, and an example analysis is conducted to optimize the operation of the smart sports training ecosystem. The results show that: in the angle detection results during running, the ankle joint angle change interval of the participants in the test is [85.44°, 123.699°], and the average value is 404.5695°. The initial change range of ankle joint angle of the athletes at the moment of landing is 105.73°~108.98°, which confirms that the intelligent sports training ecosystem can provide users with high-quality interactive experience and real-time feedback on the changes of their own sports status. This study can improve the athletic ability and sports culture literacy of college students, and provide a theoretical basis and practical reference for the development path of sports culture and sports training under the perspective of smart sports.
Analysis of Green Supply Chain Finance Value Architecture in Environmental Protection and Low Carbon Economy
Authors: Li Bing , Yuan Meiying , Sun Yanan
Published: February 2024

The traditional supply chain encounters policy red light and green trade barriers, and the reasonable and efficient utilization and allocation of social resources are restricted. This paper is based on fuzzy theory and hierarchical analysis method to determine the relative weights of evaluation indexes, using the triangular fuzzy function method to study and analyze the optimal choice of fuzzy synthesis operator, and finally establishing the green supply chain financial value architecture analysis method based on fuzzy comprehensive evaluation method. The analysis of this paper’s method finds that the comprehensive index of the development level of digital supply chain finance in the eastern region is 0.5659, and the value architecture of green supply chain finance has a significant role in promoting the gross profit margin and return on net assets of enterprises, making the return on net assets of enterprises about 9 percentage points higher than the average value in the industry, and lowering the number of days of turnover of the receivables of the enterprises, which is lower than the counterparts by about 57 days, which is an obvious advantage in the industry. The method examines the supply chain finance value architecture to show that when the enterprise’s anti-disturbance ability increases from 0.1 to 0.4, it becomes more resistant to risk propagation.
Risk Analysis of Financial Investment in Enterprise Financial Management in the Information Age
Authors: Lu Peizhong
Published: February 2024

This paper introduces the GAS framework into the research problem of financial asset risk in the financial management of enterprises in the information age, gives the basic expression of the GAS framework model, improves based on the basic expression, and combines it with the traditional GARCH model to construct the GAS-GARCH-sst model. After that, the study of financial investment risk is extended further by constructing the GAS-factor Copula model, and when the parameters of the model are extrapolated, a two-step estimation method is used, i.e., the parameters of the marginal distribution and the parameters of the Copula model are extrapolated separately. Finally, with the help of the GAS-Factor Copula model, the financial investment risk analysis of ML Company can shows that the return on net assets, return on total assets and cost-expense margin of ML Company are lower than the industry average since 2020, and the growth rate of operating income has changed greatly, ranging from -354.88% to 54.3%. Cost-expense margin has been declining consistently since 50.1% in 2017, while cash inflow in investing activities is only 1.9%-17.57% of cash outflow in 2016-2021. This indicates that ML is facing the challenge of financial risk in various financial investments in the information age.
Construction of Enterprise Asset Management Accounting System Based on Blockchain Technology
Authors: Wang Hui , Zhang Yuan , Chen Xuemei , Wu Jian
Published: February 2024

With the continuous development of blockchain technology and the capital market, asset management introduced by blockchain has become the focus of enterprises, and this paper studies the enterprise asset management accounting system based on blockchain technology. By using blockchain technology, an asset management accounting system can be built by combining the cost control and responsibility system. Even though the enterprise asset management mode is designed to be efficient, the evaluation index of blockchain is not accurate. The blockchain enterprise asset management mode is analyzed using the DEA effectiveness model combined with the entropy weight method. Combined with the measured data of blockchain technology, the election phase, throughput, and transaction delay are compared, in which the blockchain technology BFT-Raft has a significant improvement in the election phase, the throughput is increased by 101.2TPS, and the transaction delay is reduced by 200~250ms.Through the analysis of the enterprise asset management and the analysis of blockchain de-also asset management efficacy, in which the coverage rate of blockchain technology and the asset yield increase year by year from 2018 to 2021, and reach the highest value of 0.5785 and 0.3612 in 2021, respectively, indicating that M’s overall asset management efficiency of the company has gradually improved with the coverage application of blockchain technology. In summary, the enterprise asset management accounting system based on blockchain technology in this paper can effectively improve the efficiency of enterprise asset management and is of practical significance for the development of enterprise asset management.
A data mining algorithm-based approach to accounting for enterprise operating costs
Authors: Zhang Yuan , Wang Hui , Wu Jian , Chen Xuemei
Published: February 2024

This paper first proposes an enterprise operation costing method based on C4.5 optimization algorithm, which uses Taylor series to simplify the logarithmic operation and reduce the calculation time of the algorithm. The mean value of GINI index is used to eliminate the influence of inter-attribute correlation, dig deeper into the cost data, ensure the reliability and accuracy of the cost data, and thus improve the correct rate of cost accounting. Then the C4.5 algorithm and the C4.5 optimization algorithm are applied to the actual case of cost prediction and cost accounting of a city construction enterprise to compare the accuracy of the two algorithms. The dataset is used to iterate through the two algorithms to test and analyze their performance and global balance. The results show that the C4.5 optimization algorithm’s accounting value for each item is consistent with the actual value, and the accounting error is only 0.1%. The C4.5 algorithm has an accounting error rate of approximately 8%. The errors of both costing methods decreased to different degrees when the number of iterations increased from 10 to 100. The error of C4.5 algorithm decreases from 0.325 to 0.07. The error of C4.5 optimization algorithm decreases from 0.28 to 0.05. The error rate of the enterprise costing method of the C4.5 optimization algorithm is less, and the global balance is better.
A study of coupled incentive-based clearing mechanisms in electricity markets considering uncertainty risk
Authors: Zhao Tianhui , Huang Cheng , Pan Hongjin , Shi Hao , Luo Gang
Published: February 2024

Promoting the construction of the electricity spot market and considering the market-oriented trading mode with joint participation of the generation side and load side and fair competition will be the trend of future development of the electricity spot market. The unit generation bidding strategy is adjusted by this paper based on incentive factors and an incentive-based clearing mechanism is designed for market coupling. To establish a coupled two-layer model of the power market, the upper layer of the heterogeneous generator bidding strategy modeling, the lower layer of the incentive-based market clearing mechanism modeling. On this basis, a spot market model is designed in which both the generation and user sides participate in peaking, and the peaking resources on the generation side and the user side are included in the market mechanism bidding. This paper’s clearing cost can save 854.42 yuan compared to the unified clearing mechanism in the bidding stage for clearing the total market electricity energy volume of 1000kW. The total carbon emissions are reduced by 5816.8 tons in a single day when compared to the single electric energy trading mechanism, which is based on the market-coupled incentive system. The market model proposed in the paper can effectively improve the level of new energy consumption and provide a useful reference for the design of the electricity market in regions with a high proportion of new energy.
Exploration of Community Governance Paths in Urban Ecosystems Based on KANO-IPA Modeling
Authors: Tan Yue , Huang Danqing
Published: February 2024

This paper focuses on the research object of urban ecological environment governance on the urban community at the micro level, and pays attention to the problem of the realization path of urban community environment governance. The KANO-IPA model is established to study the urban ecological environment and the needs of community residents, and the importance of the survey data is evaluated by combining the theory of rough numbers to construct the community governance path of the urban ecological environment. The model analyzes the ecological environment of City H in Province A, and 10 communities are governed using the governance path constructed in this paper. The coal industry in City H dominates the economic development, and the total particulate emissions in the city will be 107,173.10 tons in 2021, and the contribution of the industrial emissions to the dustfall of heavy metal Ni will be 77.96%, and at the same time, there is a serious problem of arbitrary tampering with the data of ecological governance. The community governance path constructed in this paper achieves about 80% of resident satisfaction in 10 communities in H city. The governance path proposed by this study can be recognized by residents of the community and is expected to improve the ecological environment of the city.
Exploring the Teaching Path of English Teaching Courses in Colleges and Universities Based on Decision Tree Modeling
Authors: Jia Xuwei
Published: February 2024

The teaching of English courses in colleges and universities relies too much on grades to judge students’ mastery of knowledge points, and there are problems of slow feedback and difficulty in timely targeted teaching. To address the drawbacks of traditional English teaching methods, this paper constructs a random forest algorithm based on the decision tree model, uses the information gain index to judge the feature segmentation effect of the random forest, and calculates the degree of students’ mastery of knowledge points. At the same time, the recommendation model is utilized to match students with topics equivalent to their mastery level, and the alternating least squares method is introduced to improve its recommendation efficiency, thus constructing an efficient English teaching course assistance model. The model was implemented in colleges and universities after it had been designed. The highest similarity match of the educational resource ontology tree was achieved when the weights of knowledge points, resource difficulty, and resource type were 1.121, 0.986, and 1.129, respectively. The average score of the class was 65.3 before the application, after the application, the second test score increased to 69.28, which was a significant improvement, and the fourth test was 75.32, which exceeded the average score of 72.23. The investigation of this study shows the direction for the innovation of the English curriculum and promotes the benign development of English teaching.
Optimization of English Language Curriculum System in Colleges and Universities Based on Natural Language Processing Technology
Authors: Ma Xiaona , Zhang Yang
Published: February 2024

Analyzing students’ feedback course text data is an inevitable requirement to improve the teaching quality of English language courses in colleges and universities. Based on the two parts of word vector representation and recognition of text language in natural language technology, this paper completes the word vector representation of English language course text in colleges and universities through the CBOW and Skip-gram structure of World2Vec model. Using the LDA topic model, the obtained English language word vectors are identified, and then the English language course system of colleges and universities is processed to complete the optimization of the course system. On this basis, 10 English language courses of X university are selected and the texts of question responses and course evaluations of the selected English language courses are collected and analyzed using the model. The study shows that 80% of the course responses are active at the beginning and end of the question life cycle. The percentage of question responses decreased as the number of questions increased. Students in Majors A (53%) and B (27%) were more concerned about teaching ability, and students in Majors B (40%) and C (57%) were more concerned about teaching style. Based on the above analysis, pedagogues can optimize the teaching quality of English courses in colleges and universities in terms of teaching ability and teaching style.
Exploration of the Communication Path of Chinese Traditional Art and Culture with Internet+ and VR Interaction Design
Authors: Shen Fanghua
Published: February 2024

Based on the virtual cultural experience of VR interaction design, this paper builds the framework of the VR interaction system, focusing on the experience and dissemination of Chinese traditional art and culture under VR interaction design. The specific factors affecting the immersion experience of traditional art and culture are sorted out, and the quantitative analysis of the immersion experience of traditional art and culture based on VR interaction design is carried out in combination with the S-O-R model. The content selection and demand motivation of Chinese traditional art and culture under VR interaction design are analyzed separately, and the main trends of the development and dissemination of traditional art and culture are clarified. A one-way ANOVA method is used to numerically compare the age of the VR interaction design audience with the demand for use, perceived ease of use, perceived usefulness, willingness to use, use behavior, and communication effect. The comparison results show that audiences aged 18-25 years old have a higher demand for VR interactive design, perceived ease of use, and dissemination effect compared with audiences aged 40 years old and above, with a mean difference of 0.786, 0.562, and 0.824. To promote cultural attraction and dissemination, it is necessary to target different age groups with Chinese traditional art and culture combined with VR interactive design.
Exploring the reform path of chemistry teaching in agricultural and forestry colleges and universities by combining the background of the information age
Authors: Chu Mingjie
Published: February 2024

The development of information technology promotes the reform of college education. In this paper, the attention mechanism is introduced based on the LSTM model, the Att-LSTM model is constructed to extract students’ learning characteristics quickly, and students’ learning level is analyzed by combining them with the Markov chain model. On this basis, the reform system of chemistry teaching in agricultural and forestry colleges and universities is constructed by combining with information technology and applied to the practice of colleges and universities. Its application effect is explored through the analysis of chemistry performance, experimental operation ability, and report writing ability. After the reform of virtual experiment App and multi-screen interactive technology, students’ chemistry scores increased from 63.17 to 86.95, the level of chemistry experimental operation ability improved significantly, the average level increased from 0.63 to 0.90, and the scores of theme aspect and idea aspect of chemistry report writing increased, and the comprehensive score reached 82.20. Meanwhile, due to the integration of virtual experiment app and multi-screen interactive technology virtual experiment app and multi-screen interactive technology, students’ interest in learning chemistry was stimulated and their understanding and internalization of chemistry knowledge were enhanced. The reform path in this paper has achieved better results in teaching and is expected to improve the teaching of chemistry in more agricultural and forestry colleges and universities, enhance the quality of teaching, and increase the fun of teaching.
Construction of Mental Health Evaluation System for College Students’ Physical Education Learning in the Internet Era
Authors: Hong Yu
Published: February 2024

In this paper, a mental health evaluation system based on KB-SMOTE algorithm and XGBoost model was successfully established. Firstly, the questionnaire is reasonably set up and distributed to the college students majoring in physical education to fill in the questionnaire, to obtain the college students’ mental health questionnaire survey data. Secondly, the KB-SMOTE algorithm is used to optimize the data of questionnaire tuning data. The training set was utilized to establish the primary parameters of the XGBoost model. The final parameters were determined by the parameters that correspond to the highest accuracy of the XGBoost model. Finally, the model is built based on the best parameters obtained from the training set, and the optimized test data set is brought into the model to output the value of college students’ mental health assessment. The results show that the model performs best when the learning rate is 0.02, the tree depth is 5, the maximum number of iterations is 500, and the L2 regular term is 5. The XGBoost model predicts 4160 cases correctly and 286 cases incorrectly, with an overall correctness rate of 93.6%, and its corresponding ROC curve is closer to the y-axis, with an AUC value of 0.9154. By utilizing the XGBoost model, the model can accurately determine the mental health of college students. The mental health of college students can be accurately evaluated by models.
A Study of the Trinity of School Sports, Social Sports, and Family Sports in the Context of Information Theory
Authors: Weng You
Published: February 2024

Nowadays, the physical education of young people can no longer be accomplished independently by the school, it needs the family and the society to take the responsibility of educating young people together. This paper takes students, families, schools, and society as different cultivation subjects, sets up four different types of linkage factor questionnaires, and selects ten senior high schools and experimental elementary schools in L City as research objects to obtain corresponding research data. For the validity of the survey scales, factor analysis was used to analyze the exploratory factors of each scale, and its validation factors were tested for structural validity through structural equation modeling to determine the correlation between family, school, and social sports. The results showed that different metric factors could be extracted in student, family, school, and social sports, among which the five metric factors in the student scale were able to achieve 81.42% of the explanatory degree of students’ physical activity. The structural convergent validity of the student, family, school, and society scales exceeds 0.7, and the correlation coefficients of the “family, school, and society” trinity exceed 0.5. The ‘family, school, and society’ trinity can better promote the formation of physical education awareness among adolescents and ensure that they have a sense of physical education. The ‘home, school, and society’ model can better promote the formation of adolescents’ sports awareness and ensure that they have strong physical fitness.
Development Path of Tea Culture and Aesthetic Education Integration in Higher Vocational Colleges and Universities Based on Collaborative Filtering Algorithm
Authors: Xiang Song
Published: February 2024

Tea culture is an excellent traditional culture in China, and its integration into higher vocational aesthetic education can promote the overall development of students. This paper takes the higher vocational colleges and universities in H city as an example, constructs the correlation index of the integration and development of tea culture and aesthetic education, and explores the key factors of the integration and development of tea culture and aesthetic education by combining the gray correlation method. At the same time, the students’ portraits are constructed, the constructed user portraits are clustered using the K-mean algorithm, combined with the improved collaborative filtering algorithm, and the resources related to tea culture and aesthetic education in higher vocational colleges and universities are accurately recommended. The improved model is also applied to the city to analyze the resource recommendation effect of tea culture and aesthetic education and explore the development path of integration of tea culture and aesthetic education in higher vocational colleges. The results show that the gray correlation between the integration of tea culture and aesthetic education in higher vocational colleges and universities, and the educational foundation, educational level, student ability, and educational needs are within (0.642, 0.808). The similarity between the users recommending aesthetic education resources is above 0.7, the similarity between the users recommending tea culture and aesthetic education resources and the users recommending tea culture resources is above 0.8, and the content recommended by each user achieves the desired effect (100%). The effective promotion of tea culture and aesthetic education in higher vocational colleges and universities is achieved through the accurate recommendation of relevant resources for students’ needs.
Research on Visual Design of AI Painting Based on SolidWorks Technology
Authors: Yan Jun , Fan Hanwen , Yang Yanhua , Miao Feng
Published: February 2024

AI technology has become a new creative tool, which brings infinite possibilities for painting creation. In this paper, we first parameterize the design of the painting through SolidWorks software and construct a semantic text with the design parameters obtained. Secondly, the text is inputted into the text-image similarity model based on a graph convolutional network, and the Stanford CoreNLP tool is used to perform dependency parsing on the input text and feature extraction on the textual semantic and spatial relation maps through two GCN networks. Finally, the visual parameters and visual comfort of the AI drawing samples are examined. The results show that the maximum difference between the cumulative scores comparing the reference image and the AI output image is 0.41, and this value is less than 1, which indicates that the AI drawing achieves the visual effect of quantifying the image quality. The efficiency and quality of drawing output can be improved through this study, which has both theoretical and practical significance.
Construction of Piano Performing Arts Talent Cultivation and Creative Thinking Based on the Constant Differential Error Approximation Method
Authors: Yang Xiao , Lu Yanyan
Published: February 2024

Piano talent cultivation mostly focuses on repetitive training only, and lacks a clear cultivation program for theoretical knowledge and skill points. In this paper, we adopt the curriculum knowledge graph to extract the knowledge point subgraph of piano learning and provide an initialized knowledge graph structure for the learning path under the cultivation scheme. A multi-objective optimization model of the path containing constraints such as the difficulty and mastery of knowledge points is set, and the relevant parameters of the model are defined and calculated to establish a multi-optimization objective function. A solution method that uses constant differential error approximation is proposed as a means of approaching the Pareto optimal solution. To develop the LSPIA algorithm with reciprocal weights, the adjustment vectors are modified using a least squares asymptotic iterative approximation with minimum squares values. Following the discovery of the most suitable route, a teaching experiment was carried out. The results show that the posttest P-value of the total creative thinking score of the experimental and control classes is 0.022 less than 0.05, which indicates that there is a significant difference between the creative thinking of the students in the two classes in terms of affective characteristics. The experimental group achieved a mean score of 122.69 on the post-test, which was a significant improvement from the mean score on the pre-test. An innovative approach to cultivating piano playing talents involves optimizing learning paths.
Research and Practice of Personalized Teaching System of Local Comprehensive University Based on Artificial Intelligence Technology
Authors: Li Shanshan , Wang Hui , Wang Liqiao
Published: February 2024

Driven by the concept of wisdom education and the development needs of the times, personalized teaching has become a new requirement for the quality of talent cultivation under the national innovation-driven development strategy, and it is the inevitable trend of the current education and teaching reform. This paper builds a personalized teaching system in the era of smart education, based on the characteristics of local comprehensive universities. Face recognition technology is used to analyze the learning behavior of students in the smart campus, combined with virtualization technology and bilateral resources to integrate the teaching service model to realize the distribution of teaching service demand, and the classroom behavior is analyzed by deep intelligence through natural language processing technology. The proposed personalized teaching system is being implemented at Henan University of Science and Technology for specific practical analysis. The practical results show that the occupancy rate of students’ behavior in class 2 with the personalized teaching system is 0.3525 higher than that in class 1 with the traditional teaching system, and the occupancy rate of teachers’ behavior is 0.5422, with a higher conversion rate of teachers’ and students’ behavior. It shows that the new personalized teaching system is student-oriented and can effectively cultivate the quality of students is of great significance for the educational and teaching reform of the same type of colleges and universities.