bluuebunny/crossref_metadata_2025 huggingface dataset:
Application and Benefits of Building Information Modeling (BIM) in Intelligent Engineering Construction
Authors: Liu Hao
Published: April 2024

Currently, in China, intelligent construction research predominantly targets engineering projects, with limited focus on the benefits of Building Information Modeling (BIM) technology. This paper advocates for integrating BIM with cutting-edge engineering construction techniques, adhering to four intelligent construction level assessment principles. We introduce a benefit evaluation model for innovative construction, combining the two-dimensional cloud model with the Analytic Network Process (ANP) hierarchy method. Our findings highlight the significant role of BIM in enhancing operation and maintenance efficiency and in the deepening of design, evidenced by average scores of 4.0868 and 4.0691, respectively. Early stages of innovative construction projects benefit from BIM’s effective material usage control, reducing initial material consumption below planned levels. Furthermore, our analysis reveals BIM’s capacity to simultaneously optimize quality cost provision and additive cost, with Project 1 showcasing optimization indexes of 7.91% and 73.38%, respectively. These results underscore BIM’s substantial impact on improving the economic benefits of intelligent construction.
A statistical study on the similarities and differences of sports interests among college students
Authors: Zhang Xinbao
Published: April 2024

This study focuses on the status quo of group exercise interest differences and similarities among college students, and proposes the interest scalar law of group exercise for the group exercise data of college students, which measures the frequency of group exercise based on the parameter and activity. Based on the interest degree indexes of exercise duration and time, the interest degree model of group exercise is constructed to explore the laws of group exercise behavior. An association rule mining algorithm based on genetic algorithms and interest degrees is proposed, and an improved fitness function is proposed to optimize the algorithm. Taking China’s province S as an example, the statistics on group sports interests of college students show that the central tendency among group sports interests is ball group sports. Among the influencing factors of interest dissimilarity, the gender influencing factor significantly differs in the dimensions of psychological state and peer influence (p<0.05). There were significant differences (p<0.05) and highly significant differences (p<0.01) in the p-values of the place of origin influence factor in the course offerings and psychological state dimensions, respectively. The group sport type influence factor, on the other hand, showed significant differences (p<0.01) in all four sizes, including psychological state and family status.
A Legal and Ethical Review of Artificial Intelligence Technology in Public Safety Management
Authors: Ning Wanyu
Published: April 2024

The imperative to meticulously assess and manage the legal and ethical risks associated with artificial intelligence (AI) in public safety management is increasingly recognized. This study employs the Apriori algorithm to identify frequent itemsets in public safety risk management, further refining these findings using the FP-growth algorithm’s Gini coefficient to pinpoint optimal features representing legal-ethical risk factors. Cloud modeling techniques are also applied to examine the nuances of AI’s legal ethics. Our analysis reveals a significant growth in AI patent applications within the public safety sector, showing an increase in the relative growth rate from 1.1679 to 1.4810 over eight years, equating to an 88.66% rise. Based on highest membership values in the risk prevention and control system, risk categorization identified social ethics risk and public security threat risk with indices of 0.461, 0.721, and 0.499, respectively, classifying them into class II and III risks. This investigation into AI’s legal ethics forms a critical foundation for developing a risk regulation framework and offers strategic recommendations for legal reform, ensuring AI’s positive trajectory in public safety.
Analysis of Integration Path in English Education and Teaching in Colleges and Universities under the Background of Informatization
Authors: Lu Xiao
Published: April 2024

For colleges and universities, it is imperative to actively respond to the current new teaching mode and to put information technology into English teaching in the new situation. This paper improves the random forest algorithm by using the sparrow search algorithm to calculate the Gini index score of each evaluation index feature. By addressing the impurities of nodes in the tree, the importance of each index in the forest can be ranked. Further, the improved random forest algorithm is combined with convolutional neural network to construct the obtained English teaching evaluation method to explore the practical effect of the informationized English teaching integration path established in this paper in teaching. The results show that the average scores of the five colleges and universities’ average scores of “technology-enabled teaching” and “awareness and attitude” indicators are high, respectively 4.27 and 4.16. In contrast, the scores of “social support” indicators are low. The average score for “social support” is low, only 3.24. After the teaching practice, the number of “excellent” scores in teaching expansion increased by 15. This paper’s integration path for informationized English teaching has precise results, a certain degree of universality, and serves as a reference for future exploration of the path.
Exploration of Smart Elderly Service Supply and Demand Matching for Multi-source Data
Authors: Fang Miaoying
Published: April 2024

Under the background of population aging, the rational use of resources for senior care services has more difficulty, leading to increasingly prominent conflicts between supply and demand. This paper uses the Gini coefficient, cohort effect, and other methods to build a matching supply and demand model for innovative senior care services based on the multi-source data of senior care services. The probabilistic linguistic term set is used for evaluation and a calculation method is proposed to match satisfaction. The model’s feasibility is demonstrated by analyzing arithmetic examples. Five types of senior care demand groups can be obtained through clustering analysis, with three kinds of intelligent senior care, namely, competent institutions, smart communities, and smart homes, in which the Gini coefficient value of community senior care facilities in X city is 0.4203, and there is an imbalance between supply and demand. The method proposed in this paper identifies five types of elderly groups, which can be matched with different innovative senior care services for elderly groups with distinct characteristics.
Practical Exploration of Cultural Self-consciousness Enhancement of Civic Education for College Students in the Context of Deep Learning
Authors: Zhao Ronghua , Xu Jianjun , Liu Biao , Zhu Shengchu , Li Yanli , Deng Jingjing
Published: April 2024

Cultural self-awareness reflects a nation’s recognition of its own culture and other related values, which relies on a deep cultural foundation and is of great significance to national unity. This paper firstly analyzes the content and characteristics of cultural self-awareness, discusses the promotion role of college civic education on the cultivation and enhancement of college students’ cultural self-awareness, introduces the four-layer, four-ring model of educating people to innovate the form of civic education teaching and establishes a system of indicators for evaluating the effect of cultural self-awareness in civic education on the cultivation of people. Secondly, the subjective and objective weights of the evaluation indexes were solved by the AHP method and CRITIC method, respectively. The subjective and objective weights were combined by linear weighting method. Then, a fuzzy comprehensive evaluation model was established to comprehensively evaluate the effect of culturally conscious parenting in Civic and Political Education. Finally, five colleges and universities in a province were used as examples, and the research data was obtained through questionnaires and expert assignments to analyze the effect of culturally conscious parenting in each college and university. The results of the study show that in the effect of culturally conscious parenting on college students’ civic education, the weight of strengthening the innovation of cultural teaching content reaches 0.0726, while the weight value of promoting network culture innovation is only 0.0463, and the comprehensive evaluation score for the effect of cultural conscious parenting of civic education in college A is 9.884 points. The effect of cultural self-awareness in college students’ Civic and Political Education needs to rely on excellent culture, adopt richer teaching contents and forms, and encourage college students to internalize cultural knowledge and promote their cultural self-awareness.
Establishment and Application of Evaluation System for Objective Management of Music and Aesthetic Education Teaching in Colleges and Universities
Authors: Chen Zhihong
Published: April 2024

Addressing current challenges in music aesthetic education at colleges and universities, this study introduces an evaluation system rooted in hierarchical analysis to advance goal management in teaching. Expert consensus guided the selection and weighting of evaluation indices across a province’s higher education landscape. Implementing this system through information technology and data analysis software, our research analyzed teaching examples to gauge effectiveness. Results demonstrated improved teaching quality, with experimental and control groups showing average score increases of 1.24 and 1.03 points, respectively. This underscores the system’s potential to elevate the management and organization of music aesthetic education, contributing valuable insights to its evaluation theory and enhancing educational quality in Chinese colleges and universities.
Informatization Teaching Mode of Intellectual Property Law Course Based on Clustering Algorithm
Authors: Cui Jinghan , Yuan Hao
Published: April 2024

The traditional intellectual property law course cannot adapt to the needs of cultivating students’ active learning ability, practical ability and innovation ability in the digital era due to the teaching concept, teaching means, teaching method and assessment form. This study proposes an information-based teaching model, which builds a course knowledge organization model using a formal expression language, through atomized knowledge points and knowledge granularity. The k-means algorithm has been improved from the perspective of center selection and constraint rules to adapt to the characteristics of the intellectual property law course and complete the clustering and extraction of knowledge points. The frequent item-based method analyzes the students’ answers and generates the corresponding association rules to further develop the analysis of learning situations. For a college law school study, it was found that 925 simultaneous wrong answers and 8152 simultaneous correct answers were successfully mined using clustering. In applying this college students’ evaluation scores of this information technology teaching in terms of content design, presentation design, structural design and relationship design of knowledge clustering are 0.796, 0.818, 0.788, 0.794, and overall good results are achieved.
A study on the correlation between physical education courses and students’ health status in colleges and universities based on big data analysis
Authors: Fu Jiaqing
Published: April 2024

Physical education in colleges and universities is of great significance to the development of the whole education chain, to realize the goal of physical education courses in colleges and universities and to promote the physical and mental health development of students, this paper takes the physical education courses and students in Z college and university as the object of research, and proposes a correlation model of the physical education courses in colleges and universities and students’ health status by combining the fuzzy comprehensive evaluation and the Apriori correlation rule algorithm. The weights were calculated after constructing the physical education course quality index system. The quality of physical education courses in college Z was comprehensively evaluated. It was concluded that teaching explanation and demonstration (0.137), venue equipment (0.133) and physical education class schedule (0.113) had the most significant influence on the quality of physical education courses. The quality of physical education courses in the selected colleges and universities was good, scoring 88.93 points. When the quality of physical education courses is excellent and sound, the confidence level of students’ health status corresponding to excellent and sound is greater than 80%, indicating that physical education courses strongly correlate with students’ health. Among the various indicators of courses analyzed using big data, teaching explanation and demonstration, venue equipment, and students’ health status have stronger correlations.
Constructing and Analyzing the Levels of Emotional Intelligence Factors of International Chinese Language Teachers: An Analysis of SPSS Data Based on a Sample of 200 Teachers
Authors: Li Xinbei , Zhang Yanhua
Published: April 2024

An important research topic is how teachers explore emotional intelligence in international Chinese language teaching and utilize emotional factors to cultivate students’ motivation to learn. Based on the theoretical model of emotional intelligence, this paper constructs a system of emotional intelligence factors for international Chinese teachers by combining cross-cultural communication theory. In terms of obtaining the relevant factors affecting teachers’ emotional intelligence, this paper introduces structural equation modeling to measure the pertinent aspects. It constructs the PLSSEM emotional intelligence model by estimating the model’s parameters through partial least squares. In terms of analyzing the level of emotional intelligence of international Chinese teachers, this paper chooses a total of 200 international Chinese teachers from various Chinese universities as the research sample. It uses SPSS software to analyze the data in terms of the parameter estimation of the emotional intelligence model, the test evaluation, and the differences in the level of emotional intelligence in multiple dimensions. The results show that the path coefficients of each latent variable of the PLS-SEM emotional intelligence model exceeded 0.3, and the value-added fitness index of the model exceeded 0.95. The emotional intelligence level scores of the 200 teachers averaged 4.557, and there were significant differences in their gender, teaching age, and education level within the 1% range. The emotional intelligence factor system of international Chinese teachers can clarify the specific reasons affecting their development. It can help teachers better develop emotional intelligence and help improve the quality of international Chinese education and teaching.
Exploring the Current Situation and Innovative Development of Music Teaching in Colleges and Universities under the Background of Information Technology
Authors: Qian Hong
Published: April 2024

The significance of emotion in college music education is becoming increasingly acknowledged. This paper delves into the nexus between music teaching and emotional engagement, advocating for a stronger emphasis on emotional connection within the curriculum. By selectively extracting middle and high-level music features, we aim to intensify the emotional resonance of music pieces. Utilizing the KGIFE model, we gather and analyze students’ emotional responses to music, enabling targeted feedback. Our findings suggest four innovative pathways for evolving music education in higher learning institutions. Comparative analysis reveals that music majors exhibit markedly higher levels of emotion recognition and musical emotion experience than their non-music counterparts, with noticeable differences of 0.1512 and 0.2654 respectively. Furthermore, the study highlights significant improvements in music teaching effectiveness, particularly in run-on training and dialect processing, evidenced by average scores of 3.565 and 3.346. These outcomes underscore the potential of information technology to enhance the delivery and impact of music education in colleges and universities.
Analysis of Social Media Behavior of Students in Colleges and Universities and Its Indicative Implications for Mental Health
Authors: Zhang Yingying , Feng Danfeng
Published: April 2024

The rise of social media has spotlighted the online behaviors of its users, particularly among college students in China, a key demographic. This study surveyed 1,418 undergraduates from five universities in S city, employing correlation analysis to explore the relationship between social media usage and mental health. A predictive model was developed to quantify the associations within social networks. Our study, including independent sample tests, reveals a positive correlation between social media dependency and ten mental health indicators, with a maximum correlation strength of 0.4919. The findings underscore the importance of fostering critical engagement with social media and developing strategies to mitigate its addictive aspects among college students.
The Path of “Dual-Teacher” Teacher Cultivation in Applied Local Higher Teacher Colleges under the Background of Big Data
Authors: Zhang Qiuyue , Yu Qiyao
Published: April 2024

The cultivation path of the applied “dual-teacher” teacher team in this paper mainly relies on the qualification standard and evaluation system. Big data technology is used to collect data, deeply mine fragmented data, and further extract index factors that affect the quality of teachers. The multi-level fuzzy hierarchical evaluation model realizes the quantification of the decision-making process with less quantitative information, and determines the weights through the multi-level comparison of importance, to test and evaluate the teaching ability of “dual-teacher” teachers. The results show that, among the 166 survey respondents, 77 respondents belong to the “ Dual-teacher” teachers, accounting for about 45.03%. The primary needs and ways for most of the teachers to participate in the training of “dual-teacher” teachers are to improve the practical ability of industry and enterprise positions (score 0.86) and the school-based training of dual-teacher teachers (0.93), which is centralized in the college. In evaluating “dual-teacher” teaching, the weight of industry-teaching integration is 0.3378, so the ability of industry-teaching integration is a more meaningful indicator. College students are satisfied with “dual-teacher teaching”, and the score shows that the essential satisfaction is more than half of the total number of samples, which is 343.
Pedagogical Integration of Core Literacy in College Physical Education and Health Courses Based on Data Mining Techniques
Authors: Liu Haitao
Published: April 2024

At universities and colleges today, physical education is overly regimented and ignores students’ basic health literacy. This study aims to investigate this phenomenon by examining the state of physical education instruction in colleges and universities nowadays using data mining techniques. In order to retrieve information on the essential literacies of health and physical education courses at colleges and universities, the study first builds a data mining framework using data clustering analysis, association rule extraction, and decision tree algorithms. The teaching-coordination-level model of the core literacies of physical education and health courses is established utilizing the entropy power approach, and the development history of physical education is examined. To determine the best teaching technique for integrating the core literacies of physical education and health courses, an experiment was conducted using College A as an example. The findings indicate that following the trial, students in the experimental class had substantial improvements in their physical and health literacy scores, with the exception of physical fitness (P>0.05). In the previous 10 years, the mean value of the coupling coordination was between 0.6683. The integration of the essential literacies of physical education and health courses accounted for more than 90% of the total credit hours earned in the best colleges and universities. In addition to enhancing physical education abilities, the integration of health and physical education curricula with core literacy in colleges and universities supports the general development of students’ health literacy.
Innovative Practice of Multimodal Teaching Mode in English Education and Teaching Practice in Colleges and Universities in the New Media Era
Authors: Peng Peilan , Gao Xianyi , Wang Juan
Published: April 2024

Traditional English teaching methods are increasingly seen as outdated, failing to adequately develop students’ language abilities. This study introduces a multimodal teaching approach, evaluated through the innovative use of the sailfish optimization algorithm to gauge student attitudes towards this educational innovation. Additionally, the study leverages a genetically optimized CARMA algorithm to analyze academic achievement data, identifying optimal strategies for enhancing learning outcomes. Results indicate a significant improvement in students’ oral English skills, with approximately 70% reporting progress and 86 students endorsing the multimodal approach. Post-implementation test scores across five classes showed an impressive range of 85-97, with Classes A and B demonstrating significant score improvements (p-values of 0.021 and 0.014, respectively). The successful application of this novel teaching method in collegiate settings underscores its potential for broader adoption and highlights its relevance for modernizing educational practices across various subjects.
Informatization Exploration of Innovation and Entrepreneurship Education Mode in Vocational Colleges under the View of Industry-Teaching Integration
Authors: Rong Chao
Published: April 2024

Innovation and entrepreneurship are essential for higher vocational students to escape low-end employment and are vital for vocational education to provide diverse products and services, fulfilling the people’s demand for a better life. This study builds on the theory of innovation and entrepreneurship education, integrating information technology to devise the “Four-Drive-One-Guide” model for vocational colleges. Utilizing Province A as a case study, a survey was conducted to gather data on the effectiveness of this education model, analyzed using ANOVA, Pearson’s correlation coefficient, and multiple linear regression. Furthermore, the operational efficiency of innovation and entrepreneurship education across 30 Chinese regions was assessed using the CCR model within the DEA framework. Findings reveal that the “Four-Drive-One-Guide” model significantly boosts students’ innovative and entrepreneurial capabilities, with an average rating of 4.06. The most influential factor in its effectiveness is students’ attitudes, with a coefficient of 0.238. Moreover, vocational colleges in the eastern region exhibit the highest comprehensive efficiency at 0.875. The study suggests that integrating industry teaching and optimizing the curriculum can further enhance students’ innovative and entrepreneurial thinking.
Research on the Concept and Development of Contemporary Animation Design Based on Big Data Technology
Authors: Tang Linye
Published: April 2024

The evolution of information technology has transformed the design principles of traditional Animation, steering it towards three-dimensional innovation. This study explores the application of 3D animation design within virtual reality (VR) environments, leveraging numerical differential algorithms to calculate pixel coordinates. These coordinates form the basis of line segment differential equations, culminating in the visualization of image elements. These elements are rendered in three dimensions by employing VR technology, creating immersive virtual scenes. The design process, guided by the principle of perspective difference, demonstrates a notable improvement in visual effects compared to conventional methods, receiving an average evaluation score above 6. This advancement not only enhances the aesthetic appeal of Animation but also addresses the limitations of traditional design techniques, offering significant practical benefits.
Rural revitalization helps rural e-commerce level development efficiency-Based on DEA model
Authors: Luo Jie , Lv Xiaohui , Liu Hongya
Published: April 2024

The rural revitalization strategy is underway and can provide the promotion of high-quality growing rural e-commerce as well as supply the facilities and industrial support required for its growth. The complete score of the rural e-commerce development level was assessed using the entropy value technique by analyzing data from 31 Chinese provinces, municipalities, and autonomous regions. The efficiency of rural e-commerce growth was evaluated using the BCC model and the super-efficient DEA model within the DEA model. The study examined the effects of rural revival on the effectiveness of electronic commerce in rural development. Both input and output views were considered when selecting the related factors. After that, the productivity value was examined by merging information on the growth of rural e-commerce between 2016 and 2020. The research indicates that between 2015 and 2022, the comprehensive score of rural e-commerce growth experienced a high-quality increase of 173.50%. Furthermore, 8 out of 31 provinces, municipalities, and autonomous areas had DEA-achieved e-commerce development efficiency, with a mean complete efficiency score of 0.700. However, the mean value of total efficiency decreased by 35.29% when the progress level of rural rejuvenation was eliminated. Apart from providing support for infrastructure construction, rural revitalization can also provide policy assurances and an industrial base for the expansion of rural electronic commerce.
Research on Online Education Teaching Mode of Colleges and Universities Based on Internet Technology
Authors: Chen Jia , Wu Runfeng
Published: April 2024

The steady growth of online education in Chinese higher education, despite its drawbacks, underscores an increasing interest in digital learning platforms. This study proposes enhancements to the Paragraph Vector, Stacking classifiers, and ZEN semantic coders to construct accurate learner profiles, facilitating personalized online education. By applying these improved models, universities can adapt their online courses more effectively, as demonstrated by case study analyses. Performance data for a sample of college students shows a concentration of scores between 80 and 90, with an average of 84.01, suggesting moderate academic achievement. Engagement metrics, particularly in educational experience richness, scored highest at 3.7854, with all engagement scores averaging above 3, indicating a strong engagement in the learning process.
Construction of an Innovative System for Examination Management and Education Based on Artificial Intelligence Technology
Authors: Chen Qian
Published: April 2024

Leveraging artificial intelligence (AI), this study revolutionizes examination management and education in universities by developing an intelligent system encompassing comprehensive management, pre-examination activities, scheduling, and preparation. The system also features a quality management component for educational outcomes. An enhanced genetic algorithm introduces an adaptation function to optimize intelligent grouping, facilitating effective exam paper distribution. Applied at Y University, our innovative approach significantly refines exam paper difficulty (ranging between 0.5016 and 0.5581) and differentiation (0.3845 to 0.4596), showcasing the intelligent algorithm’s effectiveness in exam management and contributing valuable insights to educational research.
A study of the precision effect of modeling ideas in the teaching of advanced mathematics applications
Authors: Gei Peiyun
Published: April 2024

Mathematical modeling as a means of application of mathematical knowledge is used to solve all kinds of problems in the real world, based on the simplification of real scenarios to get the simulation linkage model, and further generate mathematical models. In this paper, we design a teaching method for integrating mathematical modeling ideas into higher mathematics, and construct a path for cultivating modeling abilities. To develop the relevant analysis, a principal component analysis framework for assessing college students’ self-efficacy in modeling ability is proposed, and its influencing factors are analyzed by multiple linear regression. To have a more comprehensive understanding of the current status of students’ modeling ability, students’ self-efficacy for mathematical modeling and mathematical modeling ability were mapped based on the scale and the pre-test paper, respectively. It was found that most of the students’ perceived self-modeling hypothesis ability scored between [4,5] points, and the scores would significantly affect the two dimensions of self-efficacy in model building (0.001) and model analyzing (0.004) ability. Regarding the number of high scores, the experimental class was 13 and the control class was 8. Regarding the percentage of high scores, the experimental class is higher than the control class in all cases. Mathematical modeling ideas integrated into the real-problem teaching mode can improve students’ academic performance compared to traditional teaching modes.
Modern information technology boosts the teaching reform of mechanical engineering
Authors: Yuan Lijuan
Published: April 2024

Integrating advanced information technology into mechanical engineering education heralds a new era of learning and experimentation. Through the adoption of virtual instrument technology coupled with VRML tools, this paper presents a cutting-edge virtual laboratory system. This system melds virtual simulation with hands-on mechanical testing and encompasses data acquisition and analysis modules, facilitating a comprehensive range of mechanical engineering experiments. By applying this virtual lab to studying acoustic emission sensors, we investigate its efficacy in mechanical engineering education. The outcomes demonstrate a noteworthy independent task completion rate of over 0.8 for experiments 1 to 6, highlighting the virtual lab’s significant role in enriching students’ mastery of experimental concepts and aiding the experimental teaching process.
Analysis of the role and influence of sight-singing and ear training on vocal learning skills
Authors: Yang Shifang , Ma Li
Published: April 2024

Sight-singing and ear training is one of the essential introductory courses for music majors, and the effectiveness of sight-singing and ear training teaching directly affects students’ growth and progress in music. In this paper, we have combined relevant contents of sight-singing, ear training, and vocal learning to construct a flipped classroom teaching model for sight-singing and ear training using the flipped classroom teaching process. Secondly, taking the students of L Conservatory of Music as the research object, two different questionnaires were designed for students and teachers, and the teaching experiment comparison method was used to test the role of sight-singing and ear-training flipped classroom on vocal music learning skills. Finally, the parameters of the multiple linear regression model were estimated using the least squares method, and the model was used to analyze the specific effects of sight-singing and ear training on vocal learning skills. It was found that after the flipped classroom teaching of sight-singing and ear-training, the ear-training scores of students in the experimental class were 90.43±9.26 points, which were 17.06 points higher than those of students in the control class, and there was no difference in the pre- and post-test scores of sight-singing and ear-training. The regression coefficient of students’ musical expression was 0.306. Every 1 percentage point increase in musical expression would enhance vocal learning skills by 0.306 percentage points. Sight-singing and ear-training can help students better master the basic skills of vocal music, cultivate their sense of rhythm, and enhance their vocal music learning skills.
Narrative Thinking Oriented Content and Diagram
Authors: Guo Lei , Liu Yihong , Gu Wenjia
Published: April 2024

The development of contemporary mobile Internet and new media has ushered in a new paradigm of narrative and communication forms. This paper takes the performance of narrative thinking as an entry point and establishes a framework for narrative thinking design by combining the narrative design process and digital technology. Narrative theme analysis is carried out in text narrative and image narrative. The text narrative is characterized by the LDA theme model for extracting narrative theme features. Then the LSTM model is used to classify the emotion of the extracted narrative theme. The visual features of an image narrative are extracted by a self-attention mechanism, combined with a Net VLAD algorithm for feature aggregation, and a compression excitation context gating unit and classifier are introduced to achieve sentiment classification. For the application of narrative thinking design, the news event of MH370 and the elementary school students of A elementary school in S city are taken as the research objects to explore the content and illustration of narrative thinking. The study shows that narrative thinking design can clarify the news event’s specific emotional expression and visualization illustration. The coefficient of the dream narrative theme is 0.317 in the elementary school students’ narrative theme change. The score of the positive emotion is 0.349±0.205, which is 0.024 points lower than the negative emotion. Using narrative thinking to analyze the content and illustrations can identify specific changes, thus improving the corresponding narrative design.
Improved CycleGAN-based feature recognition in young children and preschool education research
Authors: Han Jinjin , Yuchi Xuejun , Su Yanmei
Published: April 2024

Pre-school education is an integral part of primary education, and with the development of digital technology, the integration of pre-school education and information technology development is deepening. The study first adds category constraints to the CycleGAN network to improve the efficiency of algorithm operations. The facial features of young children are extracted using the LBP method and recognized by improving the CycleGAN network after they are classified using the SOC classification method. On this basis, the improved model is applied to early childhood preschool education to explore the recognition of young children’s characteristics and educational effects. In this paper, the recognition accuracy of the improved CycleGAN network model is improved by 0.02~0.14 in the expression recognition accuracy of seven basic expressions. in early childhood education, the third round of test scores of the experimental group of young children is 93 compared to the first round of test improved by 34 points, compared with the control group scores improved by 15 points. This study provides practical and feasible development directions for constructing and reforming information technology in preschool education.
Knowledge Distillation and Transfer Learning Combined for Innovative Visualization Teaching of Non-Heritage Designs
Authors: Yang Yanjun , Othman Ahmad Nizam bin , Hussin Hanafi Bin
Published: April 2024

This study introduces a novel approach by combining knowledge distillation and transfer learning to create a model that, despite its smaller size, approaches the accuracy of its much larger counterparts. It leverages a trained model from a source domain (teacher) to enhance an untrained model in a target domain (student) with significantly fewer parameters. Through transfer learning, we utilize pre-trained deep learning model parameters as initial values. This paper also explores integrating intangible cultural heritage (ICH) information with school curricula, transforming traditional knowledge presentation into intuitive, personalized displays. Our findings highlight that ICH visualization spans nine categories, with traditional arts and crafts leading with 25 items. Interestingly, only 22.58% of students understand Native American culture, pointing towards the potential for educational enhancement. The research suggests designing curriculum with varied teaching activities to improve students’ comprehensive skills.
A Study on the Inheritance of Traditional Dance System by University Dance Performance in the Context of New Media
Authors: Yang Zheng
Published: April 2024

Integrating the traditional dance system into the university dance performance course helps optimize the dance performance mode of college students, better cultivate students’ dance disciplinary literacy, and realize the innovative development of the traditional dance system. This paper firstly integrates the traditional dance system into the design framework of teaching resources of university dance performance courses. It constructs a unit-type dance performance teaching mode by combining the characteristics of the traditional dance system. Secondly, taking University Z of City B as the research object, the teaching comparison method is used to verify its teaching effect, the threshold regression model is introduced to explore the influencing factors of the dance performance course, and the parameters of the model are estimated by the least squares method. Finally, the data were used to quantitatively compare the students’ pre- and post-test scores of the modular dance performance teaching, and the threshold regression model of the dance performance course was subjected to benchmark regression and robustness test. The results showed that the experimental group’s mean value of mastery of traditional dance movements reached 87.53±7.05 points, a 31.98% improvement over the control group’s performance. The existence of single and double thresholds of policy prerequisites and subject selectivity on the level of university dance performance course design can realize the integration of traditional dance system and university dance performance course design, and provide a new way to innovate dance movements.
Analysis of Japanese Translation Skills Based on the Perspective of Multimedia Cultural Differences
Authors: Zhou Yang
Published: April 2024

This paper screens and calculates the factors affecting the quality of Japanese translation through the gray correlation analysis method. First, the Pearson correlation coefficient is utilized to explore the correlation between each factor and translation quality, and the multicollinearity between the influencing factors is tested. A quadratic test was conducted on the influencing factors using Lasso variable selection and ridge regression methods to eliminate those with linear correlation. On this basis, Japanese translation skills are designed and practiced from the perspectives of naturalized and alienated translation strategies to address cultural differences. The correlation coefficients of the factors affecting the quality of Japanese translation ranged from 0.7017 to 0.9309. The correlation coefficient between translation integrity and average sentence length was 0.491. The overall rating of the translated texts of each student reached a maximum of 97.87 points after using the translation technique. The translation technique in this paper is more effective in Japanese translation, which provides a reference method for the translation strategy under the perspective of cultural differences between China and Japan, and also helps to effectively convey the country’s culture.
Exploring Japanese Values Education from a Cultural Perspective
Authors: Zhou Yuanyuan , Dong Yahua
Published: April 2024

Cultural patterns, through the process of socialization, determine the national identity of a nation and influence the way of thinking, value orientation, and behavior of individuals. In this paper, we analyze Japanese values education from the dimensions of “group”, “interpersonal”, and “self”. The information mining algorithm based on web logs is used to establish a correlation matrix of Japanese learners’ values, and the values of Japanese learners are clustered according to the similarity of access subgraphs between the correlation matrices. During the period, the ID3 algorithm is used under the decision tree to eliminate the gap in metric size between clustering subgroups and achieve spatial division of learners’ value types. The three critical dimensions of Japanese values education and their sub-dimensions were empirically analyzed, and the F-values of the three dimensions of values for students of different majors were 0.265, 0.431, and 0.078, respectively, with P-values of 0.05 or higher, so there was no significant difference in the perception of values among students of different majors. In the value analysis of “self” sub-dimension, the descriptive statistics mean prestige, economy, and society values are 4.3592, 4.249, and 3.8696 respectively, which are all above 3. The value of education in Japanese universities is practical.
Exploring the Ideas of Integrating the Teaching of Information Technology and English Translation
Authors: Cui Haifei
Published: April 2024

The intelligent use of digital teaching resources and the deep penetration of information technology can help promote the change and development of English teaching and improve the sharing, interactivity, interestingness and effectiveness of English translation teaching resources. This paper develops an intelligent classroom teaching model for English translation that combines scaffolding and multimodal discourse teaching using the U Campus teaching platform. To create an intelligent learning environment for English translation, this paper uses distributed crawler technology to crawl English teaching resources and Minhash algorithm to de-weight and optimize the data, constructs an English translation corpus, and introduces a lightweight Transformer network to establish a machine translation model. This paper quantitatively analyzes the teaching effect of the English translation smart classroom teaching model using data from University C students as the research object. The results of the study show that the students in class A1 scored 95.02 points in topic comprehension, the translation theory and skills improved by 8.46 points compared with the students in class A2, and there was a significant difference between the students’ cross-cultural communication skills at the 1% level. By integrating the information technology platform with English translation teaching, students’ translation skills can be enhanced, they can learn more English resources, and their intercultural knowledge and competence can be improved.
Exploration of Virtual Reality Technology Enabling Diversified Teaching Models of Civics and Politics
Authors: Jiang Lu
Published: April 2024

The wide application of virtual reality technology has brought opportunities for teaching ideology and politics, breaking traditional education’s time and space limitations. This paper proposes an automatic three-dimensional modeling technology model, combined with computer vision camera imaging principles, to optimize the amount of data and improve optimization efficiency. And on this basis, it further proposes the Civics virtual scene construction technology, combined with the improved QEM grid simplification algorithm of edge segmentation, to optimize the virtual scene by simplifying the complex three-dimensional grid model. The experimental group’s students have shown good acceptance of this teaching method when teaching Civics in VR venues. In the cognitive and knowledge level of Civics learning, there is a significant difference between the experimental group and the control group in the dimensions of value identity and knowledge retention (P<0.05), and the mean value in the dimension of value identity is as high as 4.55, which is a very significant difference from the control class (P<0.01). And in the experiential feedback of Civics learning, the students in the experimental group have a greater sense of scene realism than the students in the control group (P<0.01), a stronger sense of realism of the interactive experience in learning (P<0.05), a higher degree of concentration in learning (P<0.01), and a more minor degree of interference by the external environment (P<0.01).
Research on optimization strategy of new media marketing of rural tourism under the background of “Internet+”
Authors: Ai Xi
Published: April 2024

Under the background of the Internet, the effective use of new media means can improve the marketing level of rural tourism and adapt to the development needs of the new era. The construction of a new media marketing platform for rural tourism uses Hadoop, an extensive data framework system, to analyze the tourism preferences of various consumers. Based on the constructed platform, a rural tourism consumer portrait model is designed using the fuzzy-C mean clustering algorithm and the personalized recommendation algorithm considering the time effect to realize the precise marketing of rural tourism consumers. In the analysis of consumer precision marketing, consumers can be subdivided into three categories of growing, high-value and general consumers through clustering, and the marketing success rate of the recommendation algorithm in this paper reaches 0.765. The regression analysis further understands that the quality of the products and services of the rural tourism website (0.586) is the factor that has the most significant influence on the satisfaction of the consumers, followed by brand awareness (0.556), and that the different new rural tourism media marketing strategies have the most significant influence on the satisfaction of consumers. Consumer satisfaction is affected by media marketing strategies in other ways. Based on the study’s results, this paper proposes relevant optimization of new media marketing strategies for rural tourism to promote sustainable development.
Research on the Path of Improving the Quality of School Physical Education Teaching Based on Data Mining Technology
Authors: Liang Xiao
Published: April 2024

The explosion of digital technology and the Internet has elevated big data as a critical driver of progress in various fields, including sports education in higher education institutions. This article explores the application of structured data mining to refine sports education, beginning with a decision tree algorithm for student sports data analysis. It then employs the Apriori algorithm to explore gender-based sports information correlations with teaching levels and the K-means algorithm to measure the enhancement in sports teaching quality pre and post-technology adoption. Findings reveal a strong association between improved teaching quality and student physical well-being, highlighted by the College of Physical Education’s top teaching quality score of 10.0. Initially, most teaching quality evaluations were in the “poor” to “good” range (81.2%), shifting significantly to “excellent” and “good” (78.4%) after the intervention. This study evidences the importance of data mining in revolutionizing physical education, significantly boosting educational quality.