bluuebunny/crossref_metadata_2025 huggingface dataset:
Computational Modeling and Environmental Adaptation Analysis of Heritage in Historic Districts
Authors: Gao Yun
Published: August 2024

The rapid development of urbanization brings a lot of problems, and the protection of the heritage of historical and cultural districts needs to formulate the protection strategy according to the local environmental adaptation and continuously improve and amend it. In this paper, a model is developed for the environmental adaptation mechanism of the heritage of historical and cultural districts, and the spatial structure of the heritage of historical and cultural districts is calculated using spatial statistical methods. Subsequently, an environmental calculation simulation model is proposed based on ENVI-met software, which combines the spatial structure to simulate and analyze the environment of the Shengjin Tower Historical and Cultural District Heritage in Nanchang City, and analyze its environmental adaptability. The test results show that the environmental simulation model proposed in this paper can accurately simulate the environmental change values of the heritage of the historical and cultural district according to the values of external environmental factors. The results of the analysis of the Shengjin Tower Historical and Cultural District Heritage show that the plots in the districts have an average thermal environment adaptation degree of 1.02, and the average air environment adaptation degree is 1.08. Meanwhile, West Street shows higher performance in air environment adaptation degree, with an average of 1.10. The adaptive degree of the plots in the downwind direction is poor, and they are easily affected by the external environment. This paper lays the foundation for other studies on the environmental adaptation of heritage in historical and cultural districts, and the conservation strategies proposed in terms of symbiosis, wholeness, and dynamic sustainability provide references for the conservation and inheritance of heritage in historical and cultural districts.
Discussion on the Development of Teaching Mode of College Students’ Mental Health Education in the Internet Era
Authors: Dong Yang
Published: August 2024

The psychological problems of college students under the rapid development of big data on the Internet have aroused widespread concern in society, and mental health affects the normal learning life of college students. This paper analyzes the psychological status quo of college students using the internet, proposes a mining process for mental health education data, and performs data preprocessing. The application of the Apriori algorithm in data mining was analyzed, and it was found that the algorithm has problems such as too long matching times and too many item sets. Improvements were made on this basis, and the improved Apriori algorithm was applied to the analysis of college students’ psychological problems. It was found that interpersonal tension and sensitivity, depression, and anxiety were the most common psychological problems. In addition, in the teaching mode comparison experiment, the Internet+ mental health education program based on association rules had a good influence effect on students. Students’ physical and emotional feelings exceeded 4.00 points, and their satisfaction with the course reached 4.65 points, so the internet+mental health education course based on association rules has some promotion value.
Research on the construction of the curriculum system of “integration of courses and certificates” for the 1+X Certificate in Early Childhood Care in the era of big data
Authors: Fu Kuiliang
Published: August 2024

The new era is increasing the demand for complex technical and skill talents, and the reform of talent training in vocational education is also imperative. Starting from the real demand, this paper takes the construction of a professional curriculum system under the 1+X certificate system as the entry point, proposes a 1+X early childhood care certificate “class-certificate integration” curriculum system construction method, and takes the preschool education major of M school as an example for successful acceptance. Specifically, the evaluation indexes of the curriculum system construction under the CIPP model are constructed, the weights are calculated by using the FAHP-CRITIC combined weighting method, and the cloud model comprehensively assesses the construction effectiveness. On this basis, the fsQCA method was used to further explore the in-depth construction of the 1+X early childhood care certificate “course-certificate integration” program in the era of big data. The data show that the comprehensive cloud index parameters for the effectiveness of the construction of School M’s curriculum system are 78.1, 0.558, and 0.016. It has initially achieved a certain degree of success. Under the combined effect of high professional strength, high teaching quality, high education funding, and high investment, the effectiveness of the curriculum system shows a high level (consistency = 0.949689 > 0.9). The curriculum system can be further optimized in the era of big data by building a curriculum teaching resource base and strengthening professional teaching skills.
Model run monitoring and parameter modification methods
Authors: Chen Jichen
Published: August 2024

The stability and safety of industrial process operations have a decisive impact on the high-quality development of the economy and industry. However, the traditional model is difficult to adapt to the increasingly complex production process. In this paper, based on the probabilistic linear discriminant analysis model, we construct a fault monitoring model for industrial process operation, and through kernel density estimation, we judge whether the statistical indexes exceed the control limit so as to determine whether the industrial operation system has a fault. Using a genetic algorithm, the parameters of the model are optimized and modified to find the optimal value of the model. The performance of the model and its practical application were analyzed through the Tennessee-Istman process, and the effect of parameter modification was investigated. The experiments indicate that the KPLDA model’s parameter modification improves its ability to recognize faults with smaller amplitude, with only three minor errors, and provides more accurate fault reporting on data samples. The KPLDA model’s prediction range basically overlapped with the actual measurements until sample point 80, and the prediction trend of gray score values above 0.95 in the range of sample points 120-200 differed slightly from the actual measurements, with better prediction results overall.
Exploring the Teaching Mode of Civics and Politics of Implicit Courses in Applied Colleges and Universities under the Background of Industry-Teaching Integration
Authors: Yue Weiting
Published: August 2024

The industrial-education fusion The civics and politics teaching system, a combination of ideological and political education, industrial frontier cultivation, and professional competence education, has the potential to foster a synergistic effect and enhance the talent cultivation mechanisms of applied colleges and universities. In this paper, we look at how applied colleges and universities teach implicit course ideology and politics in a world where industry and education are coming together. To do this, we came up with a design scheme for implicit course ideology and politics, which will be used as a guide for teaching engineering majors at an applied college and university in Hangzhou starting in 2022. An evaluation system of implicit course Civics teaching effect based on AHP hierarchical analysis index empowerment is built to measure the quality of Civics teaching and find out how well this paper’s program works. The comprehensive evaluation of five first-level indicators for college engineering majors yields scores of 8.60, 8.42, 8.51, 8.41, and 8.56 points, with three rated as excellent, two as good, and a total score of 8.50 points rated as excellent. The results reveal a significant difference between the experimental and control classes in five categories following a controlled test, with the average of the five post-test Civics dimensions being 11.43 points higher than that of the control classes. The implicit curriculum civics teaching model proposed in this paper is able to promote the overall improvement of students’ civics literacy. This study has provided a useful exploration of the innovation model of curriculum civics teaching and provides a reference for the construction of curriculum civics in applied colleges and universities.
Integration and Development of Colleges and Folk Art from the Perspective of Aesthetic Education
Authors: Li Chunjiang
Published: August 2024

Folk art as an aesthetic education resource can greatly expand the aesthetic education time, space, and the upper limit of education objects. Based on the value of contemporary aesthetic education of folk art, the teaching mode of integrating folk art in colleges and universities is designed, which is divided into three theoretical modules: investigation module, and practice module. To confirm the role of the teaching mode designed above in promoting aesthetic education in colleges and universities, the effect of the teaching mode is analyzed by combining questionnaires and independent samples t-tests. The data show that there is a significant difference between the experimental group and the control group in the dimensions of aesthetic ability (p>0.05). In addition, the mean and standard deviation of the experimental group’s art theory assessment score is 82.17±9.44 points, and the mean and standard deviation of the control group’s art theory assessment score is 74.48±8.05 points, and there is a very significant difference in the same assessment scores (p<0.05). This study explores the aesthetic value of folk art, can enrich the diversity of aesthetic education resources, helps to build a complete context of contemporary aesthetic education, and, at the same time, is of practical significance for the development of aesthetic education in colleges and universities.
Table tennis stroke technique and fitness improvement based on strength training
Authors: Zhuang Yuan , Li Yunjie , Zhuang Xuan
Published: August 2024

Table tennis is regarded as the national ball of China, and in the actual process of competition, athletes should have both high technical and tactical levels and good physical fitness. This paper focuses on the changes in hitting skills and physical fitness of table tennis players after strength training. In order to establish a scientific training system and improve training efficiency, this paper designs a physical fitness monitoring method using big data technology. The monitoring method initially uses the backpropagation algorithm to process the physical fitness data of the athletes. To reduce the computational amount of frequent item sets, it is recommended to use the Apriori algorithm combined with the DC_Apriori algorithm for data mining on processed physical fitness data. Finally, the physical fitness training results analyzed by this fitness monitoring method were synthesized to develop a reasonable strength training program for table tennis players. The athletes were tested for changes in table tennis hitting skills and physical fitness before and after 4 weeks of strength training. By comparing with the athletes who underwent traditional physical training, it was found that the average score of table tennis batting skills of the strength training group based on big data analysis was significantly higher than the average score of the traditional physical training group. Comparative analysis of athletes’ physical fitness from four aspects: speed, strength, sensitivity, and endurance. Strength training based on big data analysis can significantly improve the physical fitness quality of table tennis players.
The impact of strengthening practical teaching in vocational education on improving students’ employability
Authors: Wei Hanwu
Published: August 2024

Practice teaching is an important part of the teaching system and plays a pivotal role in improving the quality of talent training. The study outlines the mechanism by which practical teaching affects students’ employability in vocational education and proposes a practical teaching model for vocational education. We analyze the implementation of teaching practices in vocational education from the perspectives of teachers and students, using a vocational undergraduate college in GX City as the object of investigation. On this basis, relevant components of practice teaching are selected, research hypotheses about practice teaching and students’ employability enhancement are designed, and after collecting data, correlation analysis and multiple regression analysis are carried out to explore the role of practice teaching in influencing students’ employability enhancement. Students generally believe that the current practical teaching is insufficient in internship and practice (59.12%) and cannot mobilize learning interest (48.72%) and that the effect of practical teaching needs to be improved through the adjustment of teaching mode. All variables of practical teaching had a significant positive effect on the improvement of students’ employability (P<0.01) and explained 65.1% of the improvement of employability. The results of the study indicate that strengthening practical teaching in vocational education in terms of teaching program improvement, teaching base construction, teaching internship construction, teaching faculty formation, and teaching management standardization can improve the development of students’ employability.
Current Situation, Problems and Countermeasures of Community Home Nursing Service in the Internet+ Era
Authors: Zhao Fangfang
Published: August 2024

The problem of population aging is intensifying worldwide. The proportion of the elderly population is gradually increasing, and the wisdom of elderly care will become a social development trend. This paper explores the status quo and problems of community home care services in the Internet+ era through a questionnaire survey on the supply of intelligent community care services. Based on this basis, a smart community home care system is developed based on Internet of Things (IoT) technology. Embedded control modules such as sensors and buzzer alarms are used to collect information about the posture and vital signs of older adults and to issue an alarm when they fall. Zigbee technology is used to design the communication module of the system so that communication messages can be sent in case of emergency help to older adults. The Mahony fusion-based fall detection algorithm is utilized to determine the falls of older adults and combined with a beeping alarm to ensure real-time monitoring of the personal safety of older people. An empirical study was designed to analyze the satisfaction and perceived importance of the home care system for elderly users, and the results show that the average value of the satisfaction and perceived importance scores of the elderly users participating in the study is above 3.9, and the standard deviation is small. This paper’s smart community home care information system’s feasibility and effectiveness have been fully proven by the result.
The Application of Image Graphic Visual Communication Techniques in Artistic Creation from the Perspective of Digital Media
Authors: Cai Qiong
Published: August 2024

This paper first studies the connection between computer image graphics and visual communication and analyses the use of image graphics and visual communication technology in artistic creation. It denoises the image and proposes a method for enhancing blurred light images based on visual communication technology. It also outlines the process of applying computer graphic image processing technology to the field of visual communication design. Then VR technology is combined with visual communication and art design, a 3D image virtual reconstruction system based on visual communication effects is designed, and a 3D image graphical visual art creation method is constructed. Finally, we analyzed the impact of virtual reality art creation in terms of aesthetic evaluation, experience impact, and satisfaction. The results showed that the simple main effect of expression was significant when intensity was perceived for three different types of emotions, as shown by the simple effect analysis of expression on the type of emotion, which were FA(2, 160)=43.05, p<0.001, FB(2, 160)=10.45, p<0.001, and FA*B(2, 160)=12.36, p <0.001. This study complements the research on virtual aesthetics and, at the same time, provides a new research direction for the diversified and integrated development of art.
Research on intelligent control and sensor application strategy of motor based on RFID technology
Authors: Cao Min
Published: August 2024

People widely use permanent magnet brushless DC motors because of their simple structure, high operating efficiency, simple control, and easy maintenance. This paper constructs an EFID sensor network by merging EFID and sensor technologies and then designs the motor’s intelligent control system and strategy around it. In this paper, the SVR-PSO algorithm is used to localize the motor rotor, which nonlinear SVR trains to construct a nonlinear system of equations for calculating the position of the target tag, and then the PSO algorithm is used to seek the position coordinates of the target tag. The fuzzy PID is utilized to control the brushless DC motor, and the integral separation method is adopted to improve the control strategy. The SVR-PSO positioning algorithm and the improved fuzzy PID control strategy are applied and analyzed. For 12 tags to be measured, the positioning accuracy of SVR-PSO has improved by 56.8% compared to that of LANDMARC. Although SVR-PSO’s positioning algorithm is influenced by mutual coupling and multipath effects, the overall accuracy is still superior to that of LANDMARC. Based on the fuzzy PID controller optimized by the integral separation method, the motor rotational speed has a fast response, a small overshoot, and a small fluctuation of rotational speed, and can automatically regulate and restore stability under the situation of a sudden change of load. The motor speed response is fast, the overshoot is small, and the speed fluctuation is small, and the motor speed can be automatically adjusted and stabilized under the sudden load change, which has better dynamic and static performance than the traditional PID controller and fuzzy PID controller. The purpose of this paper is to provide a strategy reference for the use of RFID technology in the intelligent control of motors.
Feasibility Study of Security Enhancement Scheme of Blockchain Technology in Supply Chain Management
Authors: Chen Jianxin
Published: August 2024

This paper proposes a more efficient POA consensus algorithm without sacrificing security. Searchable encryption technology is utilized to complete the effective search of encrypted data and ensure fairness between supply chain data users and cloud servers. Integrate blockchain smart contract technology with traditional contract coordination mechanisms to construct a model for smart contract coordination. Comparative experiments and performance test analysis are used to explore the effectiveness and applicability of blockchain technology in the supply chain. The results show that the maximum number of allowed evil nodes for the POA consensus algorithm is 53.13%, which is the best overall performance compared to other algorithms. The security threshold for the smart contract coordination mechanism is in the range of 29%-52%, with higher security redundancy than DRSD contracts. Searchable cryptography produces plaintext and ciphertext in a shorter amount of time and has better attack-defense performance. Blockchain technology is used in the supply chain system to display the transaction information in real-time, and through the evaluation practice, the supply chain based on blockchain technology is relatively controllable for each information security event.
Innovative Research on Physical Education Models in Colleges and Universities
Authors: Chen Liang
Published: August 2024

The physical health of college students has increasingly attracted widespread attention from all walks of life. As the new force of national development, the physical health of college students is related to whether the country can have enough strength to meet the difficulties and dangers on the road to wealth and strength. This paper explains whether the teaching of prescription teaching in college physical education is feasible, and then designs a sports prescription-assisted physical education system, which is divided into two modules, namely, physical fitness detection and physical fitness assessment. The article used the K-means algorithm and collected data from students’ fitness testing for data processing. Using the K-means algorithm, the data were clustered and divided into three categories: excellent, unqualified, and average. Based on the above method, the students with unqualified physical fitness were compared and analyzed in terms of teaching mode, and it was found that the students who used exercise prescription improved their sports performance and physical function more significantly. After the teaching experiment, the excellence rate in the three physical fitness tests of 13-minute run, standing long jump, and 90-meter run was 15%, 25%, and 16% higher in the exercise prescription teaching group compared with the traditional teaching group, respectively. The exercise prescription teaching mode has a better teaching effect than the traditional teaching mode, according to the results, and it has clear effects on students’ performance and physical fitness.
Research on digital teaching to promote the implementation of industry-teaching integration in college sports
Authors: An Na , Gu Zhiyong
Published: August 2024

The integration of industry and education is an effective way to optimize the structure of talent training and promote the transformation of scientific and technological achievements. The improvement of traditional education quality can be promoted by promoting digital reform as a national strategic goal. The teaching model of industry-education integration for sports talents is built on the axis of co-creation and the SECI knowledge creation model in this paper. Finally, with the perspective of ecosystem theory, the factors influencing the integration of the university sports industry and education are screened from the three levels of the main body of industry-teaching integration, environment, and mechanism. The fuzzy set and evaluation laboratory method (DEMATEL) are comprehensively applied to determine the importance degree and hierarchical structure of the factors influencing the integration of university sports production and education so as to propose the strategy of digital teaching to deepen the integration of university production and education. The results of the study show that student benefit acquisition and the motivation of industry-teaching integration are 1.9650 and 2.2157, respectively, and the correlation coefficient of the two is 0.537. That is to say, for every level of university sports industry-teaching integration, the level of university sports professional talent cultivation will increase by 0.537 points. This study provides a basic theoretical basis for the subsequent construction of a collaborative training model for sports talent in the context of university industry-teaching integration and the exploration of collaborative paths.
Intelligent Content Generation Mechanism for Diversified Music Teaching and Learning
Authors: Huang Wenting
Published: August 2024

Diversified teaching is an inevitable requirement of music education reform, and increasing the diversity of teaching content generation is one of the ways to realize it. To this end, this paper proposes a DRMF diversification recommendation algorithm, which regulates the distribution of students’ ratings for different educational resource categories by optimizing the regularization parameter terms so as to realize the diversification of recommendation results. On this basis, a W2V-MMR teaching content generation algorithm is proposed, which utilizes Word2Vec model generation to train the word embedding model with big data text and then the word vectorization learning, which strengthens the semantic connection between the words so as to improve the accuracy of the teaching content generation. It is found that the ILD values of the DRMF algorithm are all higher than 0.215, the RMSDE values are all lower than 0.02, and the AD values are all around 1300. The W2V-MMR algorithm achieves 83.02% of teachers’ satisfaction after multiple rounds of optimization searching, and none of the MDEE values exceeds 0.4. It can be seen that both algorithms proposed in this paper yield good results.
Research on the Path of Economic Management Innovation and Development in the Context of Informatization
Authors: Kong Fanling , Meng Shuyan
Published: August 2024

In the context of economic informatization, the traditional economic management model has been unable to fully meet the actual needs of enterprise development. Enterprises should take effective measures to innovate the economic management model, to achieve the informationization and modernization of economic management work. Based on the needs of economic management innovation, this paper constructs a multi-dimensional digital economic management innovation path based on informationization. Then, according to the fuzzy hierarchical analysis method, construct the evaluation index system of economic management informatization, take company H as an example to carry out empirical evaluation, and analyze the influencing factors of the level of economic management informatization by using the two-sample Z-test. Company H's final evaluation score for economic management informatization is 91.23, and the level of informatization is good. The P-value of the top management's attention to informatization, the cultivation of informatization talents, the innovation ability of informatization talents, the ability of the project to meet the demand, the reliable management system of information system maintenance personnel, and the monitoring system of the information system operation is less than 0.01, and the Z-value is greater than 1.96, and the difference of its results from the hypothesis is very significant, which indicates that these six items have the greatest influence on the informatization of economic management in Company H. Empirical cases and strategy suggestions for the informatization path of economic management are presented in this paper.
The construction of hybrid teaching mode of college sports under the background of “Internet +”
Authors: Liu Cheng , Wei Wei , Liu Ye
Published: August 2024

OBE embodies the talent cultivation concepts of outcome-oriented, student-centered, and continuous improvement. The promotion and innovation of teaching reform and the cultivation of high-quality talents for the country depend on these concepts. On this basis, this study constructs a blended teaching model for college sports under the OBE approach. From the OBE perspective, we propose a blended teaching model based on OBE by taking the theory of educational goals, the theory of competency-based education, and the theory of constructivist learning as the basic theories for constructing the model, and we carry out instructional design around the five aspects of learning goals, learning support, learning activities, learning evaluation, and teaching optimization The model is based on the learning objectives, learning support, learning activities, learning assessment, and teaching optimization. A teaching evaluation model that uses AHP and BPNN is proposed for the constructed teaching model. The designed teaching model was applied to college physical education courses for empirical research. The experimental group had 94% of students who were capable of maintaining self-regulated learning, which was 22% higher than the control group. The percentage of students in the experimental group who would explicitly continue to participate in relevant physical activities after class also reached 88%. This paper’s model has a positive impact on student’s physical education, and the design of a blended teaching model for college physical education based on OBE is effective.
Research on the Innovation and Development of Ideological and Political Education for College Students under the Perspective of Cultural Confidence
Authors: Liu Penglin
Published: August 2024

Ideological and political education, as a general education program in higher education, occupies an important position in the higher education system. The study creatively proposes a strategy for college ideological education based on cultural confidence, integrating cultural confidence into college ideological education. It also relies on the entropy power method, gray correlation analysis, and TOPSIS method to construct an evaluation model for Ideological and Political Education in colleges and universities and establishes an evaluation index system for Ideological and Political Education in colleges and universities. The proposed strategy of educating ideology and politics in colleges and universities based on cultural self-confidence is evaluated, and its actual educational effects are explored. Z The overall average score of ideology and politics education in colleges and universities is more than 15, and the overall educational level is good. The mean scores of each level one indicator are 15.26, 15.86, 15.19, 14.95, and 15.64, respectively. However, the impact of teaching implementation remains to be improved. The highest mean score of level two indicator of Ideological and Political Education in School Z is Ideological and Political Literacy (16.03), and the lowest score is teaching, and Learning Assessment (14.46), and the rest of the indicators are all greater than 15, School Z should pay more attention to Ideological and Political Education Teaching and Learning Assessment. Before the experiment, the difference between the experimental and control groups in each achievement is not more than 0.4, the P value is greater than 0.05, and there is no significant difference. After the experiment, the difference between each achievement of the two groups is 3.681, 5.3339, 2.429, and 11.449, respectively, and the P value is less than 0.05. The strategy of ideological and political education in colleges and universities based on cultural self-confidence has a significant effect on the improvement of college students’ ideological and political achievement.
The Use of Multi-Feature Fusion in the Evaluation of Emotional Expressions in Spoken English
Authors: Luo Nan , Wang Zhenxing
Published: August 2024

Sentiment analysis is one of the important applications in the field of natural language processing. With the development of science and technology, sentiment analysis is developing in the direction of multi-feature fusion, and multi-feature fusion plays an important value in application in English spoken emotional expression. In this paper, we design a method for extracting multi-features based on multi-networks and propose a sentiment analysis model, ECISA-MFF model, on the basis of a multi-feature extraction framework and feature fusion scheme to solve the problem of data non-alignment and modal noise, and then further classify the sentiments and optimize the model. The article concludes with a comparison of the relevant performance of the models as well as a case study, and it is found that the F-macro value of the model proposed in this paper rises by 22.2% when compared with the BiLSTM+att+C model, which is significantly effective. After applying this paper’s method for emotion recognition, it was found that the average recognition rate of six emotions (happiness, anger, fear, surprise, sadness, and disgust) increased to 65.52%.
Mechanisms for the application of harmonic theory in enhancing choral sound quality
Authors: Chen Yu
Published: August 2024

The development of traditional music is facing the change of digitalization and multimedia, and the application of research and acoustic theory in enhancing the effect of choral music with the help of computer technology is an important trend in the development of musicology at present. The article first proposes a method for choral training and then combines the LCQA algorithm and the FBE algorithm based on Mel filtering energy to propose a method for evaluating the quality of choral sound. The article finally takes a chorus as an empirical research object. It conducts specific experimental tests using the method proposed in this article, and the experimental results obtained are, in the analysis of choral sound effect, the total hoarseness and roughness of choral sound have decreased by about 0.8±0.31. In the evaluation of choral sound quality, the average score of the overall sound quality has risen by 23.25 points.
The Promotion and Dissemination of Chinese Excellent Traditional Culture in English Teaching in Colleges and Universities under the Background of Informatization
Authors: Feng Yan , Liu Qiang
Published: August 2024

The growing strength of China’s national power and the rapid advancement of the country’s foreign development make the country pay more and more attention to the development of Chinese excellent traditional culture education. Integrating Chinese excellent traditional culture into English teaching in colleges and universities can help to inherit and promote Chinese excellent traditional culture. This paper explores the path of integrating excellent Chinese traditional culture into English teaching in colleges and universities based on the background of informatization and designs a digital English teaching method of traditional culture based on somatosensory interaction with regard to the carrier of traditional culture teaching materials. The method was adopted for English teaching practice, and the effect of traditional culture dissemination was analyzed from three aspects: cognition, attitude, and action. A questionnaire survey on students’ interest and willingness to learn was conducted, and the results showed that students’ interest and willingness to learn traditional culture increased dramatically after digital English teaching of traditional culture based on somatosensory interaction. By comparing the students’ English scores with the pre and post-tests, the average of the student’s total scores before the implementation of the teaching case is 45.631, and the average of the total scores after the implementation of the teaching case is 68.521, and the student’s scores are significantly improved. By analyzing the effect of traditional culture dissemination, the digital English teaching method of traditional culture based on somatosensory interaction designed in this paper can effectively promote and disseminate excellent Chinese traditional culture.
Analysis of degradation effect of carbon nitride nanomaterials in pollutant treatment
Authors: Liu Chengyin , Wang Wei
Published: August 2024

Photocatalytic technology is known as a green technology in solving energy problems and pollution problems, which can generate clean energy and degrade pollutants. In order to study the degradation performance of carbon nitride and its composites on air pollutants and water pollutants, this paper constructs TiO2/g-C3N4 composite photocatalysts by compositing graphite-like phase carbon nitride (g-C3N4) with titanium dioxide (TiO2) using titanium tetrachloride and melamine as raw materials in a water bath method. The physicochemical properties of the prepared complexes were analytically characterized by X-ray diffraction, UV-Vis diffuse reflectance, and X-ray photoelectron spectroscopy, and their degradation activities were examined and compared. The results of all the tests showed that the prepared 5 wt% TiO2/g-C3N4 nanocomposites performed better compared to other mass percentages of nanomaterials. The degradation of pollutants also resulted in better photocatalytic performance of the 5 wt% nanomaterials, with catalytic efficiencies of 54.2% and 99.5% for NO and methylene blue, respectively, at 30 min, and the good photocatalytic activity remained after five cycles.
Designing a Framework for Intelligent Updating of Ideological and Political Education Content in Government Reform and Social Governance
Authors: Peng Xiao
Published: August 2024

Artificial intelligence-enabled ideological and political education is an inevitable trend in line with the intelligent era, presenting an ecological pattern of ideological and political education that is ubiquitous, intelligent, and digital. In this paper, artificial intelligence is deeply integrated with ideological and political education in social governance through the construction of a trinity of physical space, social space, and cyberspace, with ubiquitous, situated, and immersive as the essential characteristics of the ideological and political education ecology. Through the super-efficiency DEA model, coordination, ideology, openness, sharing, and innovation are used as the value orientation of performance assessment to guide the government’s social governance performance measurement. According to the findings, 60.51% of the 821 samples assessed the content of intelligent ideological and political education with over 80 points, indicating that intelligent ideological and political education can improve the teaching level. Meanwhile, the functional positioning of ideological and political education in community governance, from the aspects of ideological integration, value leadership, relationship coordination, psychological guidance, etc. It provides feasible paths in practice for community governance workers, which helps promote the effective development of community ideological and political education.
The Role of Oil Painting Landscape Sketching Class in Art Education in the Context of Big Data Technology
Authors: Tan Zongbin
Published: August 2024

The oil painting landscape sketching course is one of the required courses for teaching art majors, which has unique aesthetic value and artistic charm in art teaching. Based on multimedia big data, this paper designs the teaching mode for oil painting landscape sketching and constructs an evaluation system for the effect of art teaching. The random forest method is used to calculate the importance of assessment indexes and rank them, and then a teaching assessment model is constructed based on a one-dimensional convolutional neural network to assess the application effect of the proposed teaching model. The results of the teaching experiment show that the assessment scores of the dimensions of artwork cognition (P<0.05), externalization practice (P<0.05), and affective experience (P<0.05) of the students in the experimental class taught in the multimedia environment are higher than those of the control class in the traditional teaching mode. It was also found that abstract or figurative artworks did not have a significant effect on the teaching effect, and background music and artwork narration in the multimedia big data environment showed a greater positive effect in the teaching of oil painting landscape sketching. This paper lays the foundation for the development of good art thinking among students in art education and provides a reference path for the effective development of art education.
Application of three-dimensional printing technology integrating traditional art concepts in cultural and creative product design
Authors: Tao Jifeng , Hui Cui
Published: August 2024

Cultural and creative products through the visual expression of cultural elements, spirit, symbols, etc., to give the product outside the function of a unique aesthetic experience and spiritual enjoyment, modern three-dimensional printing technology and traditional arts and crafts integration, greatly liberating the traditional fine arts in the shape of the limitations of the designers to facilitate the creative creation. In this paper, the lag in cultural creative products is studied, and the entire process of three-dimensional printing of cultural creative products integrated with the concept of traditional fine arts is designed. Specifically, parametric 3D modeling of cultural and creative products is carried out. Then the dense point cloud model of cultural and creative products is reconstructed by ICP fine alignment. Delaunay triangulation is used to complete the conversion from dense point cloud model to mesh model, and texture mapping is carried out so as to make the generated cultural and creative products more lifelike. The printing of cultural and creative products is completed using SLA technology and printing materials, and their design effectiveness is evaluated by combining with the KANO model. The values of SI and |DSI| are between 31.17%~62.03% and 12.81%~56.02, respectively, and the users’ satisfaction with the cultural and creative 3D printed products integrating the concepts of traditional fine arts is relatively high. Designers can further optimize the 3D printed cultural creative products integrating traditional art concepts on the basis of the original products according to the order of “Basic > Expectation > Charm”.
The effect of implicit function optimization strategies on children’s psychological development in an intelligent system of home education
Authors: Wang Zhixian , Wang Jing
Published: August 2024

Family education is an important part of children’s education, which has a great influence on children’s character and mental health. The intelligent system of family education, which is oriented by home-school-society collaborative parenting, is analyzed for its importance and functional performance in children’s psychological education. A personalized hybrid recommendation model for children’s mental health education has been established based on the ConvMF model and combined with the WMF model. Based on the consideration of children’s implicit feedback learning data in the intelligent system of family education, the Set2setRank framework is proposed to mine children’s implicit feedback data, and an adaptive importance resampling strategy is designed to optimize their sampling data. The HR and NDCG of the proposed method on the LastFM dataset are 0.882 and 0.787, respectively, and the recommended performance P@10 index reaches a peak of 0.538 when the number of samples is 40. Based on the children’s mental health education book list obtained through the method of this paper, the students’ liking and perceived difficulty scores were 4.55 and 4.44, respectively. The establishment of a children’s implicit feedback optimization strategy in the family education system can enhance the accuracy of personalized recommendations for children’s mental health education resources and help children develop their mental health.
A Study on Improving the Efficiency of Cruise Ship Cabin Space Layout Based on Multivariate Statistical Analysis
Authors: Gong Jiping , Jiang Rui
Published: August 2024

In this paper, we use word frequency semantic analysis and sentiment analysis to analyze tourists’ review texts of four different brands of cruise ships and extract cruise design elements such as functional service parameters, schedule parameters, and affordable parameters from them. The evaluation factor set of the cruise ship spatial layout division scheme is constructed, and the correlation between the evaluation factors is analyzed through multivariate statistical analysis to establish a comprehensive evaluation method of the scheme in order to determine the optimal module division scheme. After analysis, it can be seen that functional services (service, catering, room, entertainment) are the most concerned elements for tourists, and older people and children are an important part of tourists. Residential functional areas should be concentrated on the 5th-11th floors. The overall module division scheme 3 (module division combination [1,2], [3], [4], [5,6,7,8,9], [10], [11], [12,13], [14]) of the passenger cabin has a correlation of 1 with the efficiency of the spatial layout, and the weight value reaches 0.283, which is the optimal scheme. The effective space utilization rate of cabin interior space layout design scheme 3 is 0.483. The method proposed in this paper, which enhances the efficiency of cabin space layout on cruise ships, has practical significance.
A Study on the Role of Knowledge Mapping Technology in Constructing a Knowledge System for Student Management and Promoting Innovation in and Political Education
Authors: Shuang Luoshuang , Hang Chu
Published: August 2024

Knowledge mapping, as an emerging information processing tool, is gradually becoming an indispensable part of education reform and plays an important role in education transformation. The study constructs a knowledge map based on student management + civic education according to the theory of student management and civic education, utilizing the Transformer model and BERT model, etc., and explores the effects of this knowledge map on student management and civic education after it is applied to colleges and universities, respectively. School A has 10 dimensions of teaching management, life management, academic management, social practice management, physical health management, and mental health management. The scores of 10 dimensions of digital management, facilities and resources, communication management, and satisfaction are all over 4.55, which is an excellent performance in student management. The correlation coefficients of the 10 dimensions of student management in School A are less than 0.01. Before the experiment, the levels of Civic and Political Literacy of the experimental group and the control group are similar, and there is no significant difference. After the experiment, the P-value of the dimensions of the Civic and Political literacy of the two groups of students is less than 0.05, and the Civic and Political literacy of the experimental group is significantly better than that of the control group. Knowledge mapping based on student management + Civic and political education has an obvious promotion effect on improving the level of student management and students’ Civic and political literacy.
Using Artificial Intelligence Technology to Improve Business English Language Teaching Effectiveness
Authors: Huang Yan
Published: August 2024

The wave of artificial intelligence and digital technology advances educational intelligence and has a profound impact on English teaching. Taking business English students in a university as an example, the study combines structural equation modeling to explore the main factors affecting students’ behavioral intention to use artificial intelligence technology to assist business English learning. Based on this basis, it analyzes the current situation of business English teaching mode and proposes a business English teaching mode based on artificial intelligence technology. Teaching experiments were conducted in two parallel classes of business English majors in a university, and questionnaires were designed to measure and compare the students’ business English proficiency levels to further verify the effectiveness of the proposed business English teaching model with artificial intelligence. The results show that the factors directly influencing students’ behavioral intention to use AI technology-assisted learning are performance expectation, effort expectation, facilitation, and attitude (p < 0.05). The business English proficiency of the students who practiced the AI teaching model improved by 4.39% and 5.47% compared with the students in the pre-experimental and traditional models. Specifically, there was a significant difference in language comprehension, language evaluation, and language use. This paper’s research results validate the enhancement impact of artificial intelligence technology on business English language teaching and enhance the theoretical research on business English language teaching.