bluuebunny/crossref_metadata_2025_split huggingface dataset:
Rural revitalization helps rural e-commerce level development efficiency-Based on DEA model
Authors: Luo Jie , Lv Xiaohui , Liu Hongya 
Published: April 2024

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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.