bluuebunny/crossref_metadata_2025 huggingface dataset:
Resource Advantages and Practical Paths of Rural Cultural Revitalization in the Context of Multimedia Era
Authors: Jin Rongzhou
Published: July 2024

The revitalization of rural culture is an important part of the comprehensive revitalization of the countryside in the new era and is of great strategic significance to the realization of the development goal of agricultural modernization. Guided by the value orientation of rural cultural revitalization, the article analyzes the characteristics of multimedia communication and the application strategy in rural cultural communication. Using Oracle as the data storage module and combining the B/S structure, a rural culture digital resource library was established, rural culture images were digitally converted through deep features, end-to-end detection was introduced to extract rural music audio, and a three-dimensional model was also established for rural cultural landscape. The DEA model was also combined with the Malmquist index to explore the utilization efficiency of rural cultural resources. The data on rural cultural revitalization in Province S were used to analyze the efficiency and change trends of its rural cultural revitalization, and the application of the digital resource library of rural culture was studied. The overall efficiency index of rural cultural revitalization practice increased by 7.21% between 2013 and 2023, the average value of the change in the Malmquist index was 1.037, the audience’s satisfaction with the rural cultural services was 3.48 points, and the experience assessment of digital resource library is 83.35 points. The revitalization of rural culture needs to focus on accessing multimedia platforms and relying on digital resource libraries to achieve the deepening of the scope of rural cultural communication.
Structure of the BOPPPS model of integrating labor competency development into higher civic education
Authors: Cai Mengjia , Shu Cheng
Published: July 2024

As the main form of improving students’ labor ability level and labor consciousness, labor education is conducive to promoting students’ physical and mental health development, and its content has a high overlap with ideological education. Under this premise, this paper proposes a BOPPPS teaching model that integrates labor ability cultivation and ideological education and constructs an evaluation model of ideological teaching to provide a basis for the validation and analysis of the examples of the BOPPPS teaching model. In the construction of the Civic and Political teaching evaluation model, based on the relevant principles of cluster analysis, an improved NP algorithm is proposed on the basis of K-means clustering algorithm and hierarchical cohesion algorithm, the data matrix is constructed, and the clustering features are introduced to portray the clustering characteristics. The evaluation model of Civics teaching is built based on cluster analysis and combined with hierarchical analysis. The example experiment of the BOPPPS teaching model was launched in University L. The difference between the clusters of Civics teaching evaluation obtained from the experiment and the proportion of the score section of the subject students’ grades is less than 1%, which is basically the same, which verifies the performance of the Civics teaching evaluation model. The mean value of each dimension of labor quality evaluation of the subject students is greater than 4, and the performance of labor quality is excellent.
Exploration on the Integration of Artificial Intelligence and Ideological and Political Teaching in Colleges and Universities
Authors: Chen Jing , Wang Hui
Published: July 2024

The advancement of the high-quality development of the blended teaching of ideological and political courses in colleges and universities, as well as the thorough integration of artificial intelligence with this teaching approach, are imperative demands of the modern era. In order to analyze the specific applications of artificial intelligence technology in the teaching of ideological and political courses in colleges and universities, this paper first establishes the general framework for their application. It then proceeds, module by module, from the individual courses and examines how they are taught. Data mining techniques are used to extract the characteristics of the ideological and political course teaching resources, determine the similarity between learners, and complete the personalized intelligent recommendation of ideological and political course teaching resources in the personalized ideological and political course learning module. The ideological and political course teaching resources recommendation model is constructed through artificial intelligence technology. The text responses from the students are processed using natural language technology, and the learning effect is predicted using a logistic regression model. To build the BF-BKT knowledge tracking model, which tracks student feedback during the learning process of ideological and political courses, incorporating behavioral and forgetting elements. The purpose of the teaching framework is to examine the results of combining political and ideological courses with AI. The results indicate that the student’s critical thinking score is 46.6245 after incorporating artificial intelligence, which is roughly 6 points higher than the traditional technique. Following the use of AI fusion, the students’ three viewpoints and their cognition of family and national sentiment improved, with increases of 4.9 and 4.7 points, respectively, in the pre-and post-tests. It is evident that the integration of political and ideological courses at the university with artificial intelligence aids in students’ formation of their three points of view and emotional development, ultimately leading to cognitive characterization.
Research on the Development of Physical Education Resources in Colleges and Universities in the Context of Lifelong Physical Education
Authors: Cheng Guohai
Published: July 2024

Physical education resources as an important part of college sports resources is an important guarantee for the implementation of physical education, along with the diversified development of students’ needs, to ensure that the development of physical education resources to improve the level of physical education has become a common area of concern in the field of physical education. Under the guidance of the concept of lifelong sports, this study summarizes the level of sports value and analyzes it in depth from five aspects, including fitness value, heart value, social value, educational value, and cultural value. Then, the physical education resources are categorized and integrated according to the needs of the development of physical education resources. On this basis, three filters of educational philosophy, learning theory, and teaching theory are designed to guarantee the feasibility and practicability of developing physical education resources. On the principle of ensuring systematicity, operability, scientificity, and pertinence, the operation mode of physical education resources opening for colleges and universities was established. Through the analysis of the value of resource development, it can be seen that the basis of the educational value of the adolescent period occupies a dominant position, with an average score of 4.12. Next, the average score of all aspects of the value of sports in the youth period is more than 4. The adolescent and youth periods have the highest average number of physical education resource activities, as measured by the number of 5.725 and 5.300 times, respectively. This study proves the necessity and important value of the development of physical education resources in colleges and universities, provides an effective strategy and development model for the development of physical education resources in colleges and universities, and provides theoretical guidance for the development of physical education in colleges and universities under the concept of lifelong sports.
Exploring a Student-Centered One-Stop Community Service Model
Authors: Chu Jiajia
Published: July 2024

The student community in colleges and universities is based on students’ common living areas, and the community service model in colleges and universities should be student-oriented and centered on students’ development. This paper proposes a one-stop community service model from a student-oriented perspective, with the service community model and service recommendation model being the main component modules. In the service community model, a context-based association relationship mining algorithm is proposed to add time and location contexts to the collaborative filtering algorithm in order to obtain a collection of similar users and services. After constructing the one-stop service community, a service recommendation algorithm based on a trusted coalition is proposed to introduce student credibility and service usage frequency to achieve personalized recommendations of services. University H’s student community implemented the one-stop community service model. After the practice, the mean value of each dimension of the community’s service mode and content evaluation was greater than 3, and the overall satisfaction evaluation value of the community was 39.49, which was extremely significant compared with the evaluation value of University C (P<0.01). The mean value of students’ mental health evaluation reached 3.33.
User Behavior Analysis and Optimization of Japanese Language Online Education Platforms
Authors: Chu Ran
Published: July 2024

Japanese language instruction at universities has gained new life thanks to the quick growth of online learning via the Internet, microclasses, flipped classrooms, and other innovative teaching methods. This is the direction of future educational reform in colleges and universities. After gathering and pre-processing behavioral data of Japanese learners, this study builds a data analysis model of Japanese online learning user behavior based on the Japanese online education platform. In this model, user behavioral features are extracted and classified using the RFG-SVM model, which is based on SVM. Users with similar user behaviors are then clustered together using the FCM algorithm, and the association rule algorithm is utilized to explore the intricate relationship between user online learning behaviors and learning effects. Lastly, the FSQCA approach is used to investigate the optimization path of Japanese online education platforms after combining with example analysis. The most significant aspect of Japanese online learning is its online learning rate (0.7499). Users can be categorized into three groups: close cooperation (52.3%), active participation (6.1%), and weak participation (41.6%). Japanese online learners also exhibit better user behavior. The consistency indexes for Grouping H1: SI*LA*CC*HA, Grouping H2: ~SQ*CQ*SI*~LA*CC, and Grouping H3: SQ*CQ*SI*~LA*HA were 0.929, 0.959, and 0.965, respectively, with both social influence (SI) and habit (HA) serving as important requisites. This study helps to form a mature mechanism that prompts Japanese online education users to develop a continuous willingness to use the program, which contributes to the development of inclusive education to a certain extent.
Reform of Business English Teaching in Colleges and Universities under the Background of Education Informatization
Authors: Dang Yongjun
Published: July 2024

This paper builds a business English intelligent teaching network platform through cloud computing, virtual reality, corpus and automatic scoring system, and other information technologies. Educational information technology helps construct a linguistic corpus by utilizing vocabulary lookup and MI values to create a one-stop solution for multi-level language analysis and application. The essay scoring project in the Business English Smart Teaching Network Platform utilizes the bag-of-words vector model to extract the features of each word, text, and topic to complete automatic essay scoring. After analysis, it can be seen that the business skills and interests of the experimental group have significantly improved after the teaching of the Business English Wisdom Teaching Network Platform. After the corpus-scaffolded writing teaching training, the mean values of students’ vocabulary richness ranged from 3.869 to 4.108, and sentence variety ranged from 3.961 to 4.135. Automatic scoring of compositions resulted in a significant improvement in the writing quality of students (P=0.000). The smart teaching network platform mentioned in this paper can be utilized to improve business English teaching in the context of informationization.
ChatGPT-based Research on the Influence of AI on English Translation
Authors: Deng Yuanliang
Published: July 2024

Since its launch, ChatGPT has generated a great deal of conversation across a range of businesses and sparked an unparalleled technological revolution in the English translation space. In this work, we first establish and thoroughly discuss the English translation standard. We then measure the standard of English translation using HTER, the most widely used human editing distance and assess the quality of ChatGPT’s English translation. The impact of ChatGPT on the quality of English translation is investigated in the context of practice, and the working mechanism, capability characteristics, and performance of ChatGPT are analyzed to reveal the powerful performance of ChatGPT in improving the processing speed and efficiency of translation tasks. When the instances are compared, it can be shown that ChatGPT translations outperform manual translations in terms of linguistic variety. The BF values of word type lexical density and word item lexical indexes are as high as 1503.49 and 1386.72, respectively. Additionally, the BF values of the verb phrase complexity indicator and the ratio of parallel phrases indicate the syntactic complexity of ChatGPT translations, which are both significantly superior to human translations at 38497.02 and 4082.39, respectively.
Innovation of Core Literacy Evaluation Model for Physical Education and Health Courses in Colleges and Universities under the Guidance of OBE Theory
Authors: Duan Xuliang
Published: July 2024

Several scholars have taken an interest in core literacy in physical education since the idea was first put forth, making it a contemporary hotspot in the field of school physical education study and development. The innovative design of the evaluation model of the core literacy of physical education and health courses in colleges and universities, which focuses on building the evaluation index system of the core literacy of physical education and health courses, was realized in this study by using the hierarchical analysis method, guided by the OBE theory. Evaluation indexes were chosen and corrected using the Delphi technique and available research. Hierarchical analysis is used to determine the weight coefficients of the indicators, and a consistency test is carried out. The reliability test is then carried out, and the core literacy self-assessment scale is developed. Ultimately, the scale is put to use in real-world situations and its impact is examined. All of the expert research’s index scores are higher than 4.3, their coefficients of variance are less than 0.2, and their indexes are kept. The index weights are doable, and all of the CR values are less than 0.1. The reliability and validity met the required level, as evidenced by the overall Cronbach’s alpha coefficient, KMO value, and Bartlett’s sphere test significance of 0.953, 0.962, and 0.000, respectively. The comprehensive core literacy scores of the survey respondents had a mean of 83.635 and a standard deviation of 9.842, indicating a high overall core literacy level. There are notable differences in the overall score of the basic literacy dimensions assignment depending on gender, grade level, and specialty. This study aims to assess the OBE theory’s applicability to real-world instruction.
A Study on the Compilation and Publication of Lin Yutang’s English Works under Multimedia and the Understanding of Cultural Hedging in the New Era
Authors: Chen Min
Published: July 2024

The cultural hedging and fusion of the new era embodied in literary works is of great significance to the communication, development, and prosperity of Chinese and Western cultures. This paper selects the English works compiled and published by Lin Yutang as the research object and analyzes the communication value generated in the process of its compilation and publication. After designing a questionnaire qualified by reliability and relevance analysis, the questionnaire is used to investigate the audience’s exposure to English works and the degree of understanding of the newage cultural hedging embodied in the works. The results of the survey show that multimedia has become the main channel for audiences to access Lin Yutang’s English works. The audience’s understanding of the new age cultural hedges embodied in the works is poor; the acceptance of the new age cultural hedges is at a medium level (3.514 points), and there is a significant correlation between the acceptance level and the understanding effect. It is also found that the multimedia communication method consisting of video and text in a compiled publication has the best comprehension effect (4.857 points) on the new age cultural hedging of the audience. This paper provides a reference path for the compilation and publication of Lin Yutang’s English works under multimedia and lays a foundation for deepening the audience’s understanding of the new age cultural hedge.
Construction and Reform of the Russian Audiovisual Speaking Course in Higher Vocational Institutions in the Context of Deep Learning
Authors: Huang Yanrui
Published: July 2024

This paper focuses on the development and construction of language teaching in higher vocational colleges and universities under the perspective of deep learning, proposes the use of multimedia courseware to update the course content, interactive teaching to optimize knowledge transfer and skills training, and the creation of an interactive training environment for the Russian language. Analyze the language learning environment of higher vocational colleges under deep learning, clarify the direction of Russian language teaching, use wavelet transform algorithm to compress and process Russian language teaching resources, and enrich the teaching construction. Classify language classroom teaching interaction behaviors, clarify the criteria for judging teaching interaction behaviors, put forward connection timing classification technology under deep learning, and construct classroom interaction behavior recognition based on speech recognition. Combining video samples to analyze the classroom interactive behaviors of Russian language teaching, analyzing the use of Russian digital teaching resources, and evaluating the advantages of the reform of the Russian Audiovisual Speaking course in the light of students’ satisfaction with the reform of the course. In the interactive Russian language classroom teaching, the proportion of teacher’s and student’s speech is 24.24% and 30.205%, respectively. The proportion of open-ended questions and closed questions is 4.68% and 3.67%, respectively, and 83.62% of the students are satisfied with the classroom teaching of Russian Audiovisual and Speaking, so it can be seen that the construction and reform of the Russian language course forms a classroom that takes the students as the main body and the teacher as the auxiliary teaching This shows that the construction and reform of the Russian language course forms a classroom with students as the main body and teachers as the auxiliary teaching, which is in line with the needs of Russian language teaching.
Research on Contraband Recognition Algorithm of Intelligent Millimeter Wave Security Equipment Based on R-CNN Algorithm under Civil Aviation Domain
Authors: Sun Qiwen
Published: July 2024

In recent years, the way of air travel is gradually popularized, and the security check system in the airport is facing corresponding pressure. In order to guarantee the security problems in the aviation field, this study investigates the security check system in the civil aviation field. After investigating the security checking process in civil aviation, the Faster R-CNN has been improved based on both multilayer feature fusion and loss function to adapt to the target detection of millimeter wave images. Then, the detection and radiation characteristics of millimeter waves are introduced, and the target detection algorithm based on edge extraction is constructed. On this basis, artificial intelligence, big data, augmented reality glasses, and other technologies are incorporated to establish a security check system in civil aviation and analyze it experimentally. In terms of the overall recognition performance of mAP, this paper’s method improves by an average of 3.098-6.504% and 3.740-8.706%, respectively, with the highest FPS of 45 and 36, and its generalization ability is better compared to other methods. In addition, in the practice of contraband detection in unmixed and mixed backgrounds, the devices based on the security system of this paper have higher than 90% detection in all seven types of contraband, which is able to improve the accuracy of contraband detection, while still maintaining good performance in the case of overlapping targets. This study can assist security personnel in completing the task of detecting contraband and improving the efficiency of security checks.
Exploration of College Students’ Psychological Education Teaching Mode Based on Cognitive Behavioral Theory and Its Practice in the Internet Era
Authors: Xiang Xiaomi , Zhao Ruochen
Published: July 2024

The Internet era brings to the teaching of mental health courses not only the sharing of the best quality teaching resources, but also will profoundly impact the traditional teaching mode of mental health education classes. Based on Cognitive Behavioral Theory (CBT), this study constructed a hybrid online + offline psychological education teaching mode in the Internet era and designed a controlled experiment between it and the traditional teaching mode to analyze the significant difference through the independent samples t-test method to realize the comparative analysis of the teaching mode. Additionally, the influence factors for evaluating the effectiveness of the teaching method were explored using the CART categorical regression tree model. In Group I, which adopted the blended teaching mode, there were significant differences in the male students’ mental health factors in obsessive-compulsive (p=0.013) and paranoia (p=0.014) and highly significant differences in interpersonal relationships (p=0.006) and academic stress (p=0.002). There is a significant difference in the mental health factors of female students in five factors: compulsion, interpersonal relationship, anxiety, maladjustment, and emotional instability, and there is a highly significant difference in paranoia and academic stress. Only the compulsive (male) factor (p=0.029) and depression (female) factor (p=0.031) showed significant differences in each health factor before and after the experiment in Group II, which used the traditional teaching mode. The teaching mode of this paper has an obvious effect on the improvement of college students’ mental health, which is much better than the traditional teaching mode, thus providing feasible ideas for the construction of a psychological education teaching mode.
Applications and Ethical Challenges of Artificial Intelligence Technologies in E-Commerce
Authors: Xiao Bin , Tang Meiyu , Xiong Yong
Published: July 2024

The theory and technology of artificial intelligence are becoming more and more mature, and its application fields are expanding, greatly changing people’s lifestyles and work modes. The article sorted out the power mechanism and interaction relationship of AI technology to promote the development of e-commerce, and innovated the development mode of e-commerce based on AI empowerment, but also illustrated the ethical challenges brought by its application. Combining the BERT model and LSTM model to establish a sentiment analysis model for online reviews of e-commerce products, using the BiGRU model to obtain users’ long-term preferences, and learning users’ short-term preferences through the multi-head self-attention mechanism to establish a personalized recommendation model for e-commerce products. The study explores the algorithmic discrimination of AI-enabled e-commerce and introduces economic concepts to analyze the consumer’s perceived betrayal and kill-off phenomenon through experiments. At the lowest level, the individualized recommendation model only has an MAE value of 0.679, while the BERT-LSTM model has a sentiment analysis accuracy of 0.837. The average level of perceived betrayal and deliberate attribution of the low-priced group is 4.035 and 4.369, respectively, which is lower than that of the high-price group is lower, and the killing phenomenon brought by algorithmic price discrimination can be alleviated when the elasticity of demand is 0.4.AI-enabled e-commerce needs to be legally regulated from the five perspectives of legislation, law enforcement, judiciary, law-abiding, and law-monitoring as a way of circumventing the algorithmic discrimination and ethical challenges brought about by AI technology.
Mechanism Analysis of Smart Logistics Technology to Enhance the Logistics Efficiency of Rural E-Commerce
Authors: Li Linna
Published: July 2024

Under the advancement of reform and opening-up policy, the development direction of e-commerce enterprises has gradually shifted from the city to the rural areas with lower levels of economic development. This paper builds a rural e-commerce intelligent logistics system based on the Internet of Things (IoT) technology and proposes an improved ant colony algorithm to plan the optimal path of rural e-commerce logistics and distribution by mining the transfer probability of each distribution point in logistics and distribution as well as pheromone updating mechanism, so as to improve the logistics efficiency and customer satisfaction. Experiments show that the improved ACO algorithm in this paper performs significantly better than the genetic algorithm and particle swarm algorithm in logistics and distribution path planning and can control the transportation cost and penalty cost at a lower level. When considering the cargo loss of fresh products in logistics distribution, the satisfaction rate of traditional logistics distribution is only 65.2%, while the satisfaction rate of logistics distribution based on intelligent logistics technology is 87.9% on average. The distribution path planned by the ant colony algorithm has less mileage, lower cost, and higher logistics efficiency. This paper provides a feasible path for further improvement of rural e-commerce logistics efficiency, which can promote the development of the logistics industry in the direction of more intelligent, personalized, and green.
Artificial Intelligence-Assisted Evaluation of English Teaching Effectiveness in Colleges and Universities
Authors: Meng Hong
Published: July 2024

Education informatization is an important initiative for the country to realize education modernization, which is related to the development of China’s education. The use of a single evaluation of teaching effectiveness obviously cannot meet the assessment needs. Based on the premise of intelligent assistance through a hybrid brain-computer interface, this paper aims to study an evaluation method for teaching effectiveness using artificial intelligence. Firstly, EEG signals are collected through an EEG acquisition device, and then they are preprocessed. Second, the pre-processed signals are subjected to feature extraction, and then the features are classified using a specific pattern recognition method, and finally the classification results are used to assess the effectiveness of English teaching for college students. Based on the evaluation results, the learning system is optimized and improved. The signals collected by EEG devices carry a lot of noise, and in this paper, the processing of the original signals includes a smoothing filter, de-baseline filter, filter filter, and Kalman filter to achieve a higher signal-to-noise ratio. Multivariate evaluation results are provided by the evaluation system that is assisted by artificial intelligence. Compared with other evaluation methods to enrich the evaluation information, based on the above system effectiveness evaluation study, as far as the F1 value is concerned, this paper’s method is the highest, reaching 0.815, which is 0.048 higher than the highest F1 value of the traditional algorithm, and in the other two values, this paper’s method is also higher than other methods. This verifies the rationality and effectiveness of the teaching effectiveness evaluation system based on a hybrid brain-computer interface proposed in this paper.
A Study on Corporate Management Strategies for Downstream Innovation Ecosystems in the Context of Digital Economy
Authors: He Chuanjie , Liu Xudong
Published: July 2024

The rapid development of the digital economy makes the center of gravity of enterprise development accelerate from the consumer field to the production and manufacturing field, penetrating all aspects of the daily operation and management of an enterprise. This paper presents relevant management strategies by exploring the impact of the ecosystem model of enterprise management innovation on the impact of enterprise management in the digital context. In order to measure the comprehensive efficiency value, the efficiency value of capital absorption, and the efficiency value of investment after enterprise management, the theory of antagonistic cross-efficiency is introduced, the antagonistic cross-DEA model is constructed, and the evaluation steps of enterprise management effect are given. Using this model to empirically analyze the management effectiveness of China’s construction industry, enterprise performance=4.563+0.352*digital innovation ecosystem index+0.236* periodic cost+0.362*number of R&D personnel, and the digital innovation ecosystem is significantly related to enterprise performance. Finally, this paper designs a corporate management strategy for the digital innovation ecosystem in the context of the digital economy from three perspectives.
Artificial Intelligence-Assisted Teaching Strategies for English Cultural Communication in Colleges and Universities
Authors: He Yanping
Published: July 2024

This paper utilizes artificial intelligence-related technologies, such as intelligent agents and text mining, to form the two basic modules of the English Cultural Communication Platform, which facilitates simple online English cultural communication. This study employs questionnaires and surveys to comprehensively understand and analyze the English cultural communicative competence of international education masters who have used the English cultural communication platform for teaching purposes. Independent sample t-tests and one-way ANOVA were used to look into how it affected different parts of English cultural communication competence. The results showed that most students could learn about the lives and cultures of other countries through the platform. 60.07%, 80%, and 90% of the students believe that they can effectively improve their knowledge, attitude, and skills in English cultural communication, respectively. The length of teaching practice on the English cultural communication platform has a significant effect on English cultural sensitivity and English cultural efficacy (P = 0.002), while English proficiency has little effect on influencing English cultural communication skills (P > 0.05). Through this platform, students can effectively develop multicultural communication skills and awareness.
Research on Project-based Teaching Reform of Nautical English in Higher Vocational Colleges under the Background of Informatization
Authors: Huang Xiang
Published: July 2024

The quality of higher vocational nautical English teaching is not only related to the student’s vocational ability and job competence but even related to the safety of the ship and personal safety during the voyage. In this paper, we design a reform plan for higher vocational nautical English teaching based on the Hadoop-MapReduce distributed system framework, design the reading and writing algorithms of teaching resources, use a genetic algorithm to improve Pick-KX dynamic load balancing algorithm and construct a nautical English project-based teaching resource base. The effectiveness of the improved Pick-KX dynamic load balancing algorithm in this paper is tested through experiments with 200 to 1000 concurrent users. Finally, two senior nautical English classes are selected to conduct a semester of controlled variable experiments on project-based teaching reform and analyze the changes in performance. It was found that when the number of online users increased from 200 to 1,000, the IO and memory occupancy increased by 60% and 458M, respectively, and the average time taken increased from 0.8 to 5.8 seconds, which was in a reasonable range, and the repository was able to run smoothly. After one semester of experiment, the average score of the experimental class increased by 10.88 points, and the distribution of scores changed towards the high end of the range, while the scores of the control class did not change significantly. This paper’s nautical English project-based teaching resource library is effective, and the project-based teaching reform is a significant improvement in students’ nautical English scores. This study provides unique ideas and feasible methods for the reform of nautical English teaching, as well as the application and innovation of project-based teaching.
The Impact of Virtual Reality Technology in Improving English Language Proficiency
Authors: Huang Xiang
Published: July 2024

As an online virtual learning environment based on virtual reality technology, the 3D virtual classroom provides a complete learning system for students to study, discuss, and collaborate, which can better improve their English language skills. The article firstly researches the 3D visualization modeling technology of Multigen Creator, and then the 3D virtual classroom environment is embedded in the network to complete the construction of the basic English teaching environment, which can help students to complete the English communication and collaborative learning in the virtual classroom environment. The article concludes with an empirical test of the application effect of using the virtual classroom environment in English language proficiency improvement and finds that after using the virtual classroom environment for English learning, students’ comprehensive language proficiency is improved, which is reflected in the improvement of language expression ability, and students’ total average score is increased from 3.03 to 3.50 points. The pre-test showed an increase in the student’s language learning experience from 2.96 to 3.83 points. It can be concluded that virtual reality technology plays a good role and influences in improving English language proficiency.
Cultural Exchange and Transmission of Values in Tourism: A Study of Opportunities and Challenges in the Context of Globalization
Authors: Jian Zengqing , Zhou Yuxi , Ren Zhengshi
Published: July 2024

This paper, drawing from the definitions of globalization, tourism cultural exchange, and tourism value dissemination, formulates a set of 15 observational variables. Using mathematical and statistical methods, the author constructs a structural equation model that includes the concept of globalization as the exogenous latent variable and cultural exchange and value dissemination as the endogenous latent variables. After estimating the model using the partial least squares method, the author combines relevant data to conduct an empirical analysis of the model. The analysis reveals that the modified fitting parameters, based on partial least squares, have values of GFI = 0.933, CFI = 0.931, TLI = 0.927, RMSEA = 0.046, PGFI = 0.667, and PNFI = 0.758, indicating a relatively satisfactory fit for the modified model. There is a strong positive relationship between the three paths: the globalization idea → cultural exchange (0.428, 0.005), the globalization idea → values dissemination (0.579, 0.048), and the cultural exchange → expression of values dissemination (0.587, 0.019). The mediating effect of cultural exchange is responsible for 28.35% of the relationship, while the direct effect of cultural exchange is responsible for 71.65%. This means that cultural exchange plays a significant positive role in the partially mediating role between globalization ideas and values dissemination.
Research on the Integration of Music Curriculum and College Students’ Mental Health Education in Colleges and Universities in the Context of the New Era
Authors: Kong Nan , Zhao Wanru , Shi Changqing
Published: July 2024

With social progress and technological development, contemporary college students are under increasing pressure in life and study. Music’s role in regulating physical and mental health has been underlined and gradually used in students’ mental health education. Based on the regulating function of music education on students’ psychology, the study proposes the education model of integrating music courses with mental health education and constructs the model of mental health examination (MMHE) that integrates signal characteristics and emotional characteristics of college students to test the mental health level of college students under this education model, so as to explore the effect of integrating music courses on mental health education. In the group of college students, those with good mental health accounted for 63.39% of the total number of students, those with mild mental problems accounted for 31.25%, those with moderate mental problems accounted for 3.87%, and those with more severe mental problems accounted for 1.49%. Among the students with mental health education integrating music, the values of the 10 dimensions of mental health decreased, and the p-value in obsessive-compulsive symptoms, paranoia, hostility, anxiety, maladaptation, emotional instability, and psychological imbalance was less than 0.05, which was a significant effect. Based on this, teachers must base music activities to optimize students’ psychological quality in the teaching of mental health in colleges and universities, and further bring into play the nurturing value of the music discipline.
Research on Environmental Responsibility Behavior of Tourists in Seaside Ecological Scenic Spots--The Case of Shenzhen Bay Park
Authors: Li Ping , Xu Chunxiao , Zhou Qi
Published: July 2024

There is a symbiotic relationship between tourists’ environmental responsibility behavior and tourism’s ecological environment. If tourists consciously maintain the tourism ecological environment, their role in environmental protection will be transformed from a “liability” to an “asset”. Based on the SOR model and relevant research, this paper proposes three stimulus variables for tourists’ environmental responsibility behavior: the image of tourist places, environmental emotion, and local attachment. The initial questionnaire for each variable was created, and the final reasonable questionnaire was determined by reliability testing. A survey of tourists in Shenzhen Bay Park was then conducted and analyzed. The results of the study indicate that tourists in Shenzhen Bay Park exhibit high levels of environmentally responsible behavior. The results of the structural equation test showed that there was a significant influence path relationship (P<0.01) between tourist place image, environmental emotion, and place attachment to environmental responsibility behavior. It has also been found that place attachment has a significant mediating effect on tourist place image, environmental emotion, and tourists’ environmental responsibility behavior. This paper proposes the enhancement strategy of tourists’ environmental responsibility behavior to provide a reference for the strategy planning of related departments, which is conducive to the realization of the sustainable development of seaside ecological scenic spots.
The application of the physical-educational integration model in the technical and tactical teaching of college soccer-specific students and its effects
Authors: Li Zhengchang
Published: July 2024

The concept of body-education fusion integrates educational concepts and sports resources while focusing on theoretical knowledge and skills knowledge, which has become another new form of the development of sports and soccer education and teaching in the new era. This paper analyzes the innovation orientation of the technical and tactical teaching mode of soccer special students under the model of body-teaching fusion, combines the characteristics of soccer technical and tactical teaching, constructs the teaching idea, and divides the teaching content stage. Applying the evaluation of the soccer teaching effect, it constructs the evaluation system of the technical and tactical teaching effect of college students specializing in soccer with four first-level indexes, namely, athletic ability, healthy behavior, thinking development, and team cooperation. Using the hierarchical analysis method to calculate the weight of each index, the fuzzy comprehensive evaluation method is used to carry out a comprehensive evaluation of the technical and tactical teaching mode of soccer specialization students with the integration of body teaching. Combined with the results of the fuzzy comprehensive evaluation of the body-teaching fusion model, we analyze and verify the advantages of the application of the body-teaching fusion model in the technical and tactical teaching of soccer special students. The fuzzy evaluation results of the technical and tactical teaching mode of students in the integration of sports and education football accounted for 45.79%, 32.81%, 19.05%, 2.35%, and 0, respectively, in the expert evaluation grades of “excellent”, “good”, “average”, “passing” and “to be improved”, respectively, and the comprehensive score was 87.03 points, which was significantly better than the interactive teaching mode before the implementation of the concept of sports and education integration, and had certain teaching advantages.
Opportunities and Challenges of Artificial Intelligence + Enabling Museum Building
Authors: Li Zheng
Published: July 2024

The explosive development of artificial intelligence technology greatly promotes the intelligent construction of museums and strengthens their cultural inheritance role. This paper takes artificial intelligence technology as its guide, analyzes the advantages of AI technology in the intelligent museum, and establishes the specific structure of an intelligent museum by combining VR technology. Wisdom Museum can realize the effective repair and presentation of cultural relics data. This paper uses three-dimensional laser scanning technology to obtain cultural relics point cloud data, repair the holes in the point cloud data through RBF, optimize the point cloud data by combining texture mapping, and input the optimized data into the GC-GAN model to realize the three-dimensional digital repair of cultural relics images. Moreover, the smart museum’s intelligent interaction system is built by combining virtual reality technology and related equipment. Taking Dunhuang mural point cloud data as an example, the number of point clouds of the RBF hole repair algorithm differs from the original data by only 5.86%, and the SSIM and PSNR values on the repaired portraits are 0.83 and 26.36 dB, respectively. The SUS total score for the user on the intelligent interactive system is 73.875, and the UEQ factor scores are averaged out at 1-3 points. The creation of a smart museum can be realized using AI technology, providing users with an immersive cultural relics viewing experience and activating the vitality of all kinds of cultural relics in the museum.
A New Paradigm for Visual Communication in the Convergence of Digital Media and Art and Design
Authors: Lu Xi
Published: July 2024

This paper integrates motion graphics into the field of visual communication art design. Hierarchical analysis is utilized to calculate the comprehensive weight ranking of each dynamic graphic design element at the sub-criteria level and to understand the real needs of users from the perspective of user needs and experience design. The relationship between dynamic graphics and emotional relief is explored by comparing the data of the emotional self-assessment scale of the experimental and control groups. After analysis, it can be seen that the perceptual attribute (0.43587) is the most important indicator of perceptual fluency in dynamic graphic design and the most important issue that should be considered in the design, followed by the aesthetic attribute (0.28816). In the analysis of user requirements, content that is vivid, interesting, and colorful accounts for a mean value of 60%. As the use of motion graphics design expands, it will undoubtedly become one of the most basic, versatile, and universal ways of visual communication and artistic expression.
Study on the Influencing Factors of the Competitive Network Pattern of Cobalt Industry Chain Trade in the Context of Big Data Analysis
Authors: Yang Yunxia , Wang Ruibing
Published: July 2024

The article proposes a time series model to explore the influencing factors of the cobalt industry chain trade competition network pattern. By analyzing the current situation of the evolution of the cobalt industry chain trade network, the relevant variables are selected. The data are described based on the overview of the relevant algorithmic research of the time series model. Finally, the model based on the time series data is empirically tested. The unit root is verified to be in an unsteady state by first-order differencing, and the p-values all have a probability of accepting the original hypothesis greater than 0. After the second-order differencing ADF test, all the series are smooth and all of them are second-order monotonic. After the cointegration test, it was found that the residual series is smooth at the 5% critical level, and there is a cointegration relationship.
Simulation of the Electromagnetic Waves Propagation in Conductive Media Using Analytical Formulae
Authors: Opriș Lavinia , Munteanu Călin
Published: July 2024

The paper aims to investigate the electromagnetic waves behavior in conductive media using analytical formulae. An example of a very long vertical conductive wall of given thickness placed in front of a vertically polarized electromagnetic wave is considered. The variation of the electromagnetic field quantities inside the conductive wall are detailed using analytic formulae. The numerical example considered was aimed to easily understand the important properties of the field behavior inside the conductive wall. The main conclusions end the paper.