bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis of the Reform of College English Writing Teaching Based on Big Data Era
Authors: Zhang Laixiang 
Published: October 2024

Abstract
The characteristics of the era of big data have brought about changes in various aspects of college English writing teaching, from concept to behavior, and have also brought new opportunities and challenges to the reform of college English writing teaching. In this paper, we start by reforming college English writing teaching, imposing constraints on simplified information forms, and constructing the SVAR model to explore the intrinsic connections between English writing teaching data. Finally, it examines the causes of the errors that impact college students’ English writing process and proposes measures to decrease the number of writing errors. The experimental results show that the sample test t-value of English writing pre and post-test scores of the experimental class and the control class are 4,978 and 4.905, respectively, and the Sig. The values are 0.000 and 0.245, respectively. Only the experimental class shows a significant difference, and the reform of college English writing teaching has been effective.
Research on the development of rural e-commerce platform on the live marketing model of agricultural products
Authors: Zhao Bei , Song Qianxin , Zhao Min 
Published: October 2024

Abstract
In the process of rural revitalization, rural e-commerce is gradually realizing the development of scale and is transforming into the live broadcast e-commerce mode. This paper investigates and expands on the live broadcast e-commerce marketing model for agricultural products. Firstly, the strategy of the live broadcast marketing model is explored from the digital level, and three divisions of the e-commerce business model are discussed. The data were obtained by questionnaire survey, and the effect of live agricultural e-commerce on farmers’ sales was empirically analyzed by using the ordered Logit model, which provides a theoretical basis and support for the implementation of the rural revitalization strategy and the promotion of agricultural income. Secondly, the problems and deficiencies in the field of live marketing are analyzed in combination with the 4C theory. The current situation of live marketing is analyzed in the light of consumer characteristics, cost composition, and the convenience of the shopping process. Finally, targeted strategies and suggestions are put forward for the problems of the e-commerce live marketing model. The results of the Logit regression passed the significance test of 5%, which indicated that the agricultural products e-commerce live marketing model can Improve the income level of farmers.
A Study of the Function of Emotional Calculation in Expressing and Communicating in Music Performance in Multicultural Contexts
Authors: Zhao Yina 
Published: October 2024

Abstract
Affective computing technology can recognize emotional expressions in multimodal information. In this paper, a music performance emotion optimization method is proposed, which uses MFCCG-PCA to extract music emotion information and optimize it and then constructs a music emotion expression optimization model according to KTH rules and genetic algorithm. The experiments show that the average accuracy of emotion recognition in the open MFCCG-PCA test is 92.73%, and the accuracy of emotion calculation in five cultural types of music performances is 82.93%. The emotion optimization results were close to the performance requirements, with an emotion optimization accuracy of 86.9%, and the overall subjective score of the optimization results for musical performances was 4.12, which was a better performance than the comparison methods. The results of this research can be used to optimize emotion in multicultural music performance.
Action capture method of animated characters based on virtual reality technology
Authors: Dai Jinling , Xue Feng 
Published: October 2024

Abstract
Virtual reality technology is a kind of animation technology that is widely used in the creation of film and television animation art, which makes the technological imprint of film and television animation art creation exceptionally obvious. The article utilizes virtual reality technology to create a virtual scene for character motion capture in film and television animation by combining the video motion capture system. The camera position-solving method is used to map the points in the three-dimensional space to the two-dimensional image plane, and then the high-dimensional image signals are converted to the low-dimensional signals of human body postures through the minimum bounding rectangle of the foreground image to realize the solving of the character’s action posture information. Based on the graph convolution neural network, a time domain graph convolution model is established with the help of layering and cross-frame connection of the null time domain convolution to realize the 3D pose estimation and capture of the character movement in film and television animation. The joints’ confidence smooths the pose sequence of the character’s action. The maximum error of the yaw, pitch, and roll angles in 15 frames does not exceed 0.4° in the pose resolution of the animated character. Real and measured joint flexion and extension angles have errors that are less than 0.3°. The average error of the Euler angle data for character motion capture is between 1.37 and 3.86°, and the MPJVE error of the smoothed data is reduced by 1.15 mm compared to the pre-processing data. The virtual scene constructed by relying on the virtual reality technology can help the video motion capture system to obtain the performance of film and television animated characters, and provide a reference to optimize the film and television animated characters’ movements.
Application and Effectiveness Analysis of Multimodal Emotion Recognition Technology in Music Education
Authors: Yan Bing 
Published: October 2024

Abstract
Emotions in music education affect learners’ cognitive activities, and failure to capture learners’ emotional changes in a timely manner can lead to music teachers’ inability to adjust their teaching strategies in a timely manner. In this paper, a convolutional neural network is utilized to extract speech and visual emotion features of students during the process of music education. The spatial plane fusion method is used to fuse the speech and visual emotion modalities. A cross-modal interactive attention mechanism is introduced to optimize the fusion effect of the multimodal emotion features. Then, a support vector machine is used to identify and classify the emotion features. The study shows that the multimodal emotion recognition model proposed in this paper can achieve an emotion recognition accuracy of 88.78%, can accurately recognize the emotional state of students, and can assist teachers in effectively intervening in the negative emotions of students. In the music classroom applying this technology, the average test score of the student’s music education program is 93.70, and their will to learn music education is 95.09% on average. This paper’s multimodal emotion recognition model helps teachers implement effective interventions in music education and establishes the foundation for improving students’ interest in music learning.
The Rules of Conflict-of-Interest Management for Public Officials under the “British Model”: A Content Analysis Based on 19 Codes of Ethics
Authors: Li Wenyu 
Published: October 2024

Abstract
The United Kingdom is one of the countries globally known for its high level of integrity and has essentially developed a relatively comprehensive mechanism for preventing and addressing corruption. Effective management of conflicts of interest among public officials is a crucial aspect of corruption prevention in the United Kingdom. The United Kingdom emphasizes establishing a system of ethical norms that encompasses standards for public life more than other nations. By constructing a two-dimensional analysis framework for conflict-of-interest management tools and categories of public officials and utilizing the NVivo14 text analysis tool, we conducted a content analysis of the relevant portions in the British Code of Ethics text concerning managing conflicts of interest among public officials. The study revealed that conflict-of-interest management rules demonstrate a high degree of transparency orientation. The focus is on teaching public officials how to effectively handle conflicts of interest, not just prohibiting or dispossessing them of their private interests. The coordinated use of various management tools tailored to different conflict-of-interest scenarios results in effectively managing conflicts of interest among public officials.
Analysis and Research on Design of Dialect Emoticons from the Perspective of Regional Culture in Yancheng
Authors: Teng Fei , Li Ying 
Published: October 2024

Abstract
In this paper, Yancheng’s local culture is classified through literature research, expert interviews, and popular questionnaires. In the dialect matching of emoticons, the high-frequency text used by Yancheng people is used, and the dialect text ranking table measured by experts is combined to provide the main content for producing and designing emoticons. Based on the analysis model of Yancheng material culture and nonmaterial culture, the image design elements of Yancheng regional emojis with local and high cultural characteristics are extracted from Yancheng regional elements. The Design of emoticons that combine pictures and text emphasizes the expression of awareness, starting with modeling the theme image, color matching, scene props, and so on. The animation emoji industry benefits from this valuable feasibility strategy, and new vitality is added to the development of the animation industry in Yancheng.
The Application and Effectiveness of Interdisciplinary Integration Education in Teaching Interior Design and Environmental Design
Authors: Dong Jian , Ran Meng 
Published: October 2024

Abstract
The innovative interdisciplinary integration teaching of interior design and environmental design courses results from the interaction between the development of disciplines and the needs of the times, individual aesthetic needs, and the optimization of the human habitat. Based on the STEAM teaching theory, the article analyzes the advantages of interdisciplinary integration teaching and establishes the teaching mode for interior design and environmental design courses. Students of interior design at a university were selected as the research object, and a system for evaluating teaching quality was established. The weights of evaluation indexes were solved using the rough set method, and the fuzzy comprehensive evaluation method was combined with it to conduct a thorough evaluation of the interdisciplinary, integrated teaching mode. A comparison experiment was conducted to analyze the effectiveness of the multidisciplinary integration teaching mode. After conducting the teaching comparison experiment, the mean value of the posttest scores for core literacy students in class A is 27.22 points higher than that of class B. The difference in occupational physical, mental, and behavioral literacy weighting is only 0.13%, and the overall evaluation score for the quality of interdisciplinary integrated teaching is 8.183. Introducing multidisciplinary integration teaching can improve students’ interior design abilities and help improve the quality of training in interior design and environmental design talents in colleges and universities.
Research on the Innovation and Effectiveness of the Management Mode of Civic and Political Education in Colleges and Universities in the Intelligent Era
Authors: Wang Yanhui 
Published: October 2024

Abstract
At present, the diversification of values and the diversification of needs of college students are increasingly demanding the innovation of ideological and political education. This study applies big data analysis in the intelligent era to the management of ideological and political education. It innovates the management of ideological and political education in colleges and universities based on big data. Students of University M were selected to conduct teaching experiments. After setting the assessment dimensions of the effect of ideological and political education, ANOVA was applied to compare the differences in the dimensions of the sample students before and after the implementation of the innovative ideological and political education management model. The K-mean method was used to obtain portraits of students with different levels of national identity to analyze further the specific changes in student groups’ civic and political education levels. The students who carried out the innovative Civic Education and Management model significantly improved in national identity, learning motivation, academic level, and its sub-dimensions, and they were 4.50% to 5.32% higher than the comparison students. The national identity level of the sample students is dominated by moderate identity, accounting for 58.67%, and different groups of students have significantly improved in this dimension. This paper’s analysis shows that the innovative model of civic education management based on big data has a nurturing effect.
Application of fuzzy evaluation model in the evaluation system of labor education
Authors: Li Yuanyuan , Wang Yuan 
Published: October 2024

Abstract
The development of labor education in colleges and universities should be linked with the development of society and follow the footsteps of the changing social digital era. This paper provides a theoretical basis for constructing an evaluation system of labor education by elaborating on the new era of labor education. According to the relevant literature and policy documents, the evaluation index system is initially formulated, and the Delphi method is used to revise and improve the initially selected evaluation index system, finally completing the construction of the evaluation index system of labor education. Combining the hierarchical analysis algorithm and fuzzy evaluation model, labor education in colleges and universities is evaluated. The selected evaluation indexes satisfy the criteria of expert opinion concentration (>3.5) and coefficient of variation (<0.25). The weights of the indicators were determined according to the acquired data, and the comprehensive evaluation results of labor education in 985 211 undergraduate colleges were calculated to be excellent grades. The evaluation and analysis results propose three labor education strategies: top-level education design, curriculum operation mechanism, and guarantee mechanism.
A Study of the Adaptability of Adaptive Learning Systems to Individualized Educational Strategies
Authors: Xu Ruihang , Zhang Li , Chollathanrattanapong Jidapa 
Published: October 2024

Abstract
An adaptive learning system is an effective way to realize personalized learning. The article analyzes the process and implementation of adaptive learning and establishes an accurate diagnosis strategy for students’ knowledge levels using an adaptive learning system. The fuzzy preference relation is used to model students’ learning resource preferences mathematically, and GA solves the fuzzy relation to construct adaptive recommendations for learning resources. The knowledge learning status of students is quantified, and the DKVMN-PLC model for learner knowledge tracking is established by combining relevance weights and potential knowledge features. The effectiveness of the above method in promoting personalized adaptive learning among students has been verified using four different types of real datasets. When the number of external learning behavior influences is 250 and the number of learning resources is less than 60, the optimal time of the adaptive resource recommendation algorithm is only 4.453 s. The DKVMN-PLC model performs best on the ASSISTments dataset, with the AUC value improved by 8.5% and 5.3% compared with the DKT and DKT+LSTM models, respectively. Relying on the adaptive learning system provides students with a knowledge-tracking method, which provides a practical path to promote personalized learning.
Evaluation of the effectiveness of robot-assisted teaching in the training room in preschool education
Authors: You Junsheng , Yang Xiaoqing 
Published: October 2024

Abstract
In recent years, the national policy has strongly promoted the integration of artificial intelligence technology and the field of education. In response to the national policy’s call, this paper proposes a robot-assisted teaching model. Taking the coordinate transformation model, velocity motion model, odometry motion model, and visual and auditory recognition model as design principles of the educational robot, the design of the educational robot is materialized by borrowing relevant hardware and programming software. The robot-assisted preschool education teaching model was created to explain the role of educational robots in preschool education. The research subjects were selected, and the teaching effect of robot-assisted preschool education was analyzed by combining theoretical knowledge of statistics. After the experimental intervention, in terms of learning quality, language expression ability, and cooperative literacy, there was a significant difference between the early childhood students in Group B and Group C, with P<0.05. In addition, the mean value of all the satisfaction indices remained above 3.3. Combining all the analyzed results confirms the facilitating role of robot-assisted teaching in preschool education.
Application and Optimization of Multimodal Information Communication in Cultural and Creative Products in the New Media Era
Authors: Deng Qiyi , Xu Dangqing , Zang Qi 
Published: October 2024

Abstract
As one of the most important parts of today’s cultural industry products, the design and presentation form of cultural and creative products have been optimized with the development of new media technology. Based on the multimodal theory, the study constructs a system of cultural and creative products using graph neural networks, attention mechanisms, knowledge maps, and other cultural and creative product design methods. The cultural representation evaluation system of cultural and creative products is constructed using the hierarchical analysis method, and the cultural and creative products designed by the model of this paper are evaluated. Analyze the color of cultural and creative products to examine the performance of this paper’s model on color. By analyzing the user experience score of cultural and creative products, the design effect of this paper’s model is explored. In the evaluation index system of cultural representation of cultural and creative products, the largest proportion of the weight of the criterion layer is the external level (54.68%), and the evaluation index with the largest comprehensive weight is the pattern (27.08%). The cultural and creative products designed by the model of this paper have the largest weight proportion of the value to be modified in pattern and material, which are 36.63% and 24.15%, respectively. The mean value of each of the chromaticity analyses is less than 2, and the mean value of the total color difference is less than 3, indicating that the color performance of the cultural and creative products designed by the model of this paper is excellent. The overall scores of the four types of cultural and creative products designed by the model of this paper are between 3.92 and 4.04 in terms of user experience, and the user experience is better.
Research on Information Technology Integration and Teaching Mode Innovation in Physical Education Teaching in Colleges and Universities
Authors: Diao Naisong , Song Wei , Wang Lina 
Published: October 2024

Abstract
The traditional physical education model is no longer able to meet the needs of current students, and the rise of information technology presents a new opportunity for the innovation of physical education teaching modes. This paper first introduces the application of information technology in physical education, then focuses on the information fusion technology algorithm. It constructs a multi-source information feature level fusion algorithm based on the deep typical correlation analysis algorithm and derives the multi-source feature level fusion (SVM) model from it. The authors have defined the parameters for assessing the credibility of the SVM model. Subsequently, we scrutinize the accuracy of the SVM model, and ultimately, we use this model to analyze and base our innovative opinions on the impact of information integration technology in the sports teaching model. The SVM model achieves its highest accuracy at 93.9% when R = 4, and the data follows a normal distribution with high reliability and validity, allowing for feature-level fusion. 2022 The publication rates of innovative teaching models in sports at different educational stages are 8.78%, 10.12%, 9.49%, and 8.32%, respectively, and the research of innovation in physical education teaching models is positively correlated with the year. Clearly, the innovative physical education teaching model not only utilizes big data fusion technology to tailor instruction to student’s abilities but also accurately understands their learning dynamics through remote monitoring, online learning, virtual reality, and other technologies. This serves as a model for integrating information technology into the innovation of physical education teaching models.
Research on the Role of Artificial Intelligence-Based Student Management Strategies in the Cultivation of Students’ Innovative Ability in Colleges and Universities
Authors: Gao Yacheng , Zhang Lei , Guo Wenfei , Liu Hao 
Published: October 2024

Abstract
Under the background of the new era, the trend of diversification of college students’ group behavior is obvious; the traditional student management mode cannot meet the needs of education and teaching in the new era of colleges and universities, and the reform of student management is imminent. This paper analyzes 245 students from University A in Shanghai using questionnaires to study the differences in their innovation ability among different genders, ages, and educational levels. PLS-SEM and correlation analysis methods were employed to investigate the factors that influence students’ innovation ability. The overall innovative capacity of students is satisfactory, except for the innovative capacity of results, which requires more improvement. In the analysis of differences in innovation ability, each mean value of undergraduate innovation ability is greater than the mean value of specialized innovation ability, such as thinking innovation: undergraduate M=3.795>specialized M=3.642 (P<0.05), which shows that academic qualifications are a part of the influence of students’ innovation ability. Secondly, “the intelligent level of the management team”, “the popularity of the campus network,” and “the interaction degree of intelligent management platform” are significantly correlated with “innovation ability” (P<0.05) is significantly correlated (P>0.01). Among the six influence paths, the degree of interaction of the intelligent platform, the degree of acceptance of management strategies, and the degree of popularization of the campus network indirectly promote students’ innovation ability in a weaker order. Path 1, “Intelligent level of the management team”, has a significant effect on the cultivation of students’ innovative ability, with an effect size of 51.22%.