bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis of the Teaching Path of Animation Film Majors Integrating Digital Visual Space in the Context of Digital Media Art
Authors: He Zhifang 
Published: January 2024

Abstract
In this study, we first adopt the dynamic stereo vision spatial coordinate measurement method of non-zoom cameras, establish a coordinate measurement model based on differential GPS, and study the application of the spatial coordinates of dynamic stereo digital vision systems in animation design. Secondly, the internal and external parameters of the camera are defined as the static error of the dynamic stereo vision system so as to provide an easy and quick-to-use design tool for the teaching of animation film majors. Finally, a test sequence animation sample set is used to verify the teaching effect of digital visual space based on animation design. The results show that in the multi-comparison test of animation quality against pixel bit rate, the animation design samples were found to have frame rates in the range of 5-30 Fps. And under the condition of having extra bandwidth, the animation feature learning evaluation dimension is 2589, and increasing the animation visual frame rate can improve the output picture quality of animation more effectively. It shows that the integration of digital visual space in the context of digital media art can allow students to have enough project sources for learning and practicing so as to improve their professional ability.
Analysis and Application of Practical Ability of Multimedia Technology in Art Education
Authors: Zhao Jingjing , Wang Zijia 
Published: January 2024

Abstract
With the development of multimedia technology, more and more colleges and universities apply network multimedia technology in art teaching to achieve the improvement of the art teaching effect. After analyzing the application scenarios of D2D, D2D technology is combined with social networks to create a teaching classroom where teachers and students can collaborate. A communication link is established in the network classroom to facilitate the sharing of art education content. Combine the network terminal caching system to improve the cache hit rate by caching multiple identical contents. Integrate network multimedia technology into art education and examine its contribution to education. The results show that the caching effect of multimedia technology is mainly reflected in four aspects: completeness, clarity, smoothness, and speed. When the number of caches reaches 12, the caching speed of the teaching content fluctuates in the range of 0.75-0.8. When the number of caches is less than 12, the caching fluency of the content is in the range of 0.85-0.9. This study provides a new direction to promote the reform of art education, which is conducive to improving the teaching effectiveness of art education and cultivating art talents.
An Exploration of the Connotation Characteristics of Data Civics and Its Effects in the Digital Era
Authors: Han Xiao 
Published: January 2024

Abstract
In this paper, the variational self-encoder is dissected, and the depth-embedded variational self-clustering model based on it is constructed, and the loss function and optimization function are designed. By enhancing the information of textual semantic representation, the semantic enhancement module is constructed based on the deep variational inference algorithm, the network structure of the semantic enhancement module is designed, and the SEVAE model of textual clustering based on the semantic embedding of DataSmart is constructed by combining textual clustering layer and dataSmart connotation. On this basis, the comparative experiments of the SEVAE model are constructed to analyze the convergence and clustering performance of the constructed model, explore the connotative features of Data Sensemaking, and analyze the effect of Data Sensemaking through empirical evidence. The results show that the clustering assignment process converges at the 20th iteration round, which significantly improves the feature representation, divides the 8483 texts into 3 groups, and the Data Thinking has the characteristics of Data Thinking, Data Information, and Data Quantification, with a positive, positive effect of P<0.1 for all the control indicators. Data Thinking has the power to promote patriotic sentiment, patriotism, and social cognition.
New Exploration on Tapping School History Resources to Empower the Teaching of Civics Classes in Colleges and Universities under the Perspective of Great Civics Classes
Authors: Hu Jihui 
Published: January 2024

Abstract
In this paper, in order to solve the teaching problems of college Civics courses under the perspective of the big Civics course, data mining technology is used to obtain school history resources and then construct research on the teaching of college Civics courses empowered by school history resources based on data mining. The initial data of school history resources obtained by data mining, regression analysis and decision tree analysis of the initial data are used to offset the influence of the attribute values of school history resources on the research results, and association rule analysis is used to help students understand the characteristics, connotation and connection between school history resources and the teaching of ideological and political education. Based on the relationship between school history resources and ideological and political education, a data mining-based research program on school history resources empowering ideological and political teaching was designed, confirmed and analyzed. The results show that the average scores of the four items of management attitude, management ability, management method and management effect in the school history resources empowering the teaching of ideology and politics are 0.6001, 0.5761, 0.5481, 0.5751, which indicates that the development of the school history resources based on mining association rule algorithms of data mining technology can better realize the function of teaching in the teaching of ideology and politics courses. This study enhances the use of previous school history resources in ideological and political education, which is conducive to the development of high-quality socialist successors and reliable builders.
A Study on the Relationship between Psychological Needs, Entrepreneurial Motivation and Entrepreneurial Performance of College Students’ Entrepreneurship in the Context of Digitization
Authors: Li Huajin , Tsao Hsueh-Jen 
Published: January 2024

Abstract
Promoting entrepreneurship of high quality in the context of digitization is an important support for the in-depth implementation of the innovation-driven development strategy, and it is a necessary way to achieve fuller employment and employment quality. In this paper, starting from the hypothesis of correlation, we analyzed the reliability and validity of the design of the questionnaire. The fuzzy DEMATEL-SEM model was constructed by combining structural equation modeling and fuzzy decision-making experimental method, which can be utilized to realize the exploration of the correlation between entrepreneurial psychological needs, entrepreneurial motivation and entrepreneurial performance. The quantitative validation of the data is carried out through linear analysis, correlation analysis, regression analysis, and model analysis. The results show that the two-tailed significance test result of the importance of entrepreneurial psychological needs and entrepreneurial motivation is less than 0.01, the mean value of R2 of the model between entrepreneurial psychological needs and entrepreneurial performance of college students is 0.6355, and the direct effect of entrepreneurial motivation on entrepreneurial performance is 0.766. There is a clear positive correlation between entrepreneurial psychological needs, entrepreneurial motivation and entrepreneurial performance, and universities and colleges need to fully carry out entrepreneurship education activities to enhance students’ entrepreneurial awareness.
Digital innovations in higher education management and mechanisms for high-quality training of students
Authors: Jia Yongbin 
Published: January 2024

Abstract
With the rapid development of modern information technology, the management mode and cultivation path of higher education have undergone great changes, and this paper explores this change from digital innovation. First of all, this paper analyzes the mechanism of education management and student training in higher education and puts forward the digital innovation path of higher education management and student training in combination with education big data. Then, on the basis of the traditional Apriori algorithm, the AHP-DEMATEL method is introduced for empowerment, and weighted ordered directed constraint Apriori algorithm is proposed for data mining, and the PSO-LS-SVM prediction model is proposed for data prediction by combining particle swarm algorithm for optimization under least squares support vector machine algorithm. Finally, the data on educational management and the effects of student cultivation and innovation on students are mined and predicted, and the relationship between the two is explored. The results show that the improved Apriori algorithm ends up with the number of rules around 20 when the support degree is 0.22, the confidence degree is 0.50, and the interest degree is 0.80, and the relative errors of the prediction are all under the level of 0.03, and the average relative error of the data of the experimental results is 78, and the innovation scores are all above 80. Higher education management and the digital innovation of students’ high-quality training mechanisms show a positive correlation, which can promote the overall development of students.
Research on the Change and Protection Strategy Innovation of Non-Genetic Inheritance in Sports in the Era of Artificial Intelligence
Authors: Zhang Feng 
Published: January 2024

Abstract
In this paper, we study the operation mechanism of the Openpose model under artificial intelligence technology, reconstruct the spatial coordinate system of the skeleton, and do the standardization of the skeleton coordinate system. Analyze the problem of limb angle similarity, sort out the algorithm process for extracting differential posture features, and extract human limb angle features through center-of-gravity regression calculation. A model for the change of non-heritage inheritance methods in sports is constructed using motion-captured interactive images of non-heritage sports dance. There are five innovative ways to use non-heritage protection strategies. The Openpose model was used to capture the kinematic features of sports gestures to analyze the non-genetic inheritance of sports in A place for empirical research. In the study of athletes’ front leg characteristics, the mean value of level 1 athletes was 44.68±21.93 higher than that of level 2 athletes, and the p-value was 0.049<0.05, which was significant. In the empirical analysis of sports NRLs, the comprehensive score of the protection effect of 14 sports NRLs in place A was 3.293, which was better overall. Among the protection effects of different dimensions, the survival conditions dimension has the best protection effect, with a mean value of 4.436. This aspect of survival conditions is handled with the best effect in place A. The government is not as good as the other two dimensions in terms of protection and needs to increase its protection efforts.
Research on Talent Cultivation Path for Marketing Majors under the Integration of Industry and Education Based on Intelligent Data Analysis
Authors: Wang Yang 
Published: January 2024

Abstract
In this paper, cluster analysis is used to obtain the similarity coefficients as well as measurement scales among marketing characteristic variables in order to find the degree of stickiness of corporate marketing accurately. In order to avoid the over-fitting problem in the process of marketing research based on cluster analysis, it is necessary to optimize the attribute dependence through a rough set base and further explore the application of cluster analysis in marketing research. In the research design of marketing professional talent cultivation by integrating intelligent data analysis, the cleaning of research data can avoid the problem of initial data null value as well as duplication, and the evaluation database and data mining process are explained in the research. According to the marketing professional talent cultivation standards, to determine the research evaluation indexes, and to research and analyze the marketing professional talent cultivation path under the integration of industry and education. The results show that the regression coefficient of teaching form and student satisfaction of marketing teaching is 0.302, and the significance level Sig value is 0.000 (<0.01). That is, the teaching form has a significant positive influence on the satisfaction of marketing majors individually. This study enhances the ability to integrate industry and education in vocational colleges and universities, driving the local economy and realizing a win-win situation between schools and enterprises.
Analysis of Consumer Perceived Needs of Fiber Arts and Crafts in the Internet Era with Perceptual Engineering as an Orientation
Authors: Wang Na , Abidin Sazrinee Zainal , Shaari Nazlina , Mansor Noranita 
Published: January 2024

Abstract
Starting from the construction of the perceptual engineering model, this paper gives the research objective of consumer perceived demand for fiber art handicrafts in the Internet era and designs the corresponding perceived SD scale according to consumer perceived demand. Factor analysis, the results show that for embroidery handicrafts, more attention is placed on grad in consumer perceived needs, with a factor loading eigenvalue of 4.647, and the grade variability of embroidery handicrafts is 27.336%. The consumer perception under the cluster 1 category of handmade blankets is mainly the grade, and its percentage is the highest at 26.698%, and the influence factor of style in bamboo and grass woven products is the highest at 23.078%. The design of fiber art handicrafts oriented to perceptual engineering needs to fully explore the consumer’s perception needs in order to promote innovation and development of fiber art handicrafts.
Application of independent component analysis-based dimensionality reduction technique in effective information extraction of high-dimensional high-frequency data
Authors: Wang Xiaohui 
Published: January 2024

Abstract
In this paper, after analyzing the existing independent component analysis algorithms, the high-dimensional high-frequency data are preprocessed by whitening, and the objective functions of crag, negative entropy, approximate negative entropy, and mutual information are set. The independent component analysis model is designed to separate the independence between signals by maximizing non-Gaussianity, estimating great likelihood, and minimizing mutual information measures. In order to verify that the dimensionality reduction technique based on independent component analysis can effectively extract high-dimensional, high-frequency data information, it is applied to the industry’s closing index data and financial market data. The results show that the stock price synthesized using the six major independent factors is almost the same as the original stock price trend of DG, and the difference in stock price evaluation is within 5, indicating that the six major independent factors play a decisive role in the stock price trend. The study shows that the dimensionality reduction technique based on independent component analysis can analyze the volatility of stock prices and obtain more effective information from high-dimensional, high-frequency data.
The Application of Big Data Technology in English Teaching Mode Innovation and Effect Analysis
Authors: Yu Yiqun 
Published: January 2024

Abstract
Big data technology provides a detailed development of English language teaching, which is targeted through the assessment of cognitive level. In this paper, ConvSLSTM is used to describe the problem of learners’ knowledge level and build a cognitive framework. With the support of the framework, “recall rate” was introduced to quantify the English vocabulary test results, PSTM ability was adopted to reflect the acquisition of syntactic variants, and attention control was borrowed to evaluate pronunciation characteristics. Based on the initial quantification mentioned above, a hierarchical-level calculation was accomplished by combining fuzzy logic. Meanwhile, based on the estimation of different sides, a rule space model was created, and some corrections were made to achieve the cognitive diagnosis of the group level. In terms of the syntactic developmental trajectory of the girl learners, the maximum value of the range of syntactic variation of the subjects appeared in the middle and late stages. During the early stages of development, the variation range is between 10-35, and the bandwidth is 25, with very little variation. However, in the middle stage of development, it basically starts to oscillate significantly between 10-85, at which time the bandwidth increases to 75. Big data technology has created a comprehensive measurement framework for learners’ English proficiency.
Constructing a Guarantee System for Physical Education Teaching Reform and Innovation in the Digital Era
Authors: Yao Lijuan 
Published: January 2024

Abstract
In this paper, the world coordinate system transformation in virtual reality technology is utilized to obtain the gesture information for estimating human movement in the process of physical education, and the dynamic sampling light projection algorithm is used to match the gestures of human sports movements. The selection algorithm based on the Q statistic defines the virtual reality technology difference as the error trend of the existence of the difference obtained by each classifier for the new data sports students, and at the same time, combines with the VRT method to construct the VR sports teaching model. In the digital teaching of sports, digital sports teaching materials can be produced by motion editing and video synthesis, and statistical analysis methods can be used to study and analyze the teaching of sports in the digital era. The results show that the highest value recognized by the supervised training algorithm based on JPCD+SRD is 0.92, while the highest value recognized by this paper’s algorithm is 1, i.e., it shows that the effect obtained by this paper’s algorithm is higher than that of supervised training methods, which makes the effect of action recognition in virtual reality technology further improved. The average scores of sit-ups of girls in the control class and the experimental class were improved by 4.03 points and 11.4 points, respectively, compared with those before the experiment, i.e., the use of Internet tools to assist teaching has a significant promotion effect on the sit-up scores of girls. This study facilitates teachers to innovate teaching methods and promotes the process of digital teaching reform in physical education.
Research on the Path of High-Quality Development of Student Management under the Explanatory Structural Model Oriented to Solve the Dilemma of Collaborative Governance of Student Management in Colleges and Universities
Authors: Wang Rui 
Published: January 2024

Abstract
This paper firstly studies the student management model, analyzes the mechanism of explaining the operation of the structural model, and proposes the DEMATEL method. Secondly, the ISM model is established on the basis of DEMATEL, and the cross-matrix multiplication method is introduced to explore the diffusion of interrelationships among factors in the system. And finally, the construction of the DEMATEL-ISM model is completed. Then, 11 experts were selected to set up an ISM group to construct the relevant reachability matrix after determining the key factors of the problem, and a multi-layer recursive order structure model was established based on the high-quality management influencing factors. Finally, an empirical examination was conducted to examine the overall effect of student management quality in S colleges and universities. Among the key factors of student management, classroom management was identified as the most critical factor affecting the quality of student management, with the ratio of the most important and the important summed up to 76.1%. Among the classroom student participation in higher education, the highest score was given to participatory behavior, with an interval between [2,5] and a mean value of 3.4808. The quality of student management in higher education was characterized by a high level of dissatisfaction among students and teachers, which was 41.94% and 51.28%, respectively. It can be seen that daily management, moral education, teacher management, and teacher competence are insufficient. Colleges and universities need to strengthen the construction of these 4 aspects and put forward relative coping strategies for the deficiencies that exist.
Application of AI Interaction Design in the Teaching Model of Landscape Topics Course
Authors: Zhou Yangxiaoxiao , Xia Xing 
Published: January 2024

Abstract
In this paper, we first define the limb node coordinates through the established limb node coordinate system and evaluate the behavior of the human body through the constructed posture sequence to analyze the human body’s body characteristics, such as the area of concern and the emotional level. Then, a new model of landscape theme course teaching was designed based on AI interaction design technology, the human-computer interaction learning needs were analyzed, and a human-computer interaction landscape course learning system was established. Finally, the differences in students’ cognitive ability, learning motivation, and learning emotion under the AI interactive teaching environment and traditional teaching methods were compared, and the advantages of AI interactive teaching were analyzed. The results show that the SD value of students’ behavioral attitudes in the teaching mode based on interactive technology is 27.78±2.34, which is more than the SD value of the ordinary teaching mode.2 In terms of goal attitudes, the SD value of the experimental class is about 4.05 more than that of the control class, and the difference is significant. The interactive teaching mode of AI effectively promotes students’ learning of the landscape topic course, and this study provides positive reference value.