bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on the Development of the Deep Integration of Digital Media Technology and Modern Art Education
Authors: Gao Beibei
Published: July 2024

Zero Sample Image Retrieval Technology This paper proposes a digital media technology for zero sample image retrieval based on the teaching methodology of modern art education classrooms. Then, it studies the zero-sample semantic segmentation network based on spatial embedding and researches the hidden space selection and construction, as well as related loss functions and parameter balance. As a demonstration, an empirical study is conducted in a modern art education classroom at a school. According to the experimental results, 45.3% and 49.6% of students and teachers acknowledge the use of zero-sample image retrieval technology in modern art education. In the quantitative study of the impact on students’ aesthetic ability, there is no significant difference between the scores of students’ aesthetic ability pre-test dimensions in the experimental and control groups in all five dimensions (p>0.05) and the dimension of aesthetic perception ability, the difference between the scores of the experimental and control groups in the pre-test is only 0.01±0.12.
Research on the Application of Traditional Graphic Patterns in Modern Jewelry Design Modeling under the Background of Multimedia Era
Authors: Geng Guangke
Published: July 2024

As traditional graphic ornament craft returns to the public’s attention, modern jewelry incorporating these ornaments has begun to emerge in the market, attracting significant interest. This paper combines traditional Chinese graphic ornamentation with modern jewelry design, employing hierarchical analysis to examine users and extract corresponding design elements. Parametric design is utilized to aid in contemporary jewelry modeling, and a parametric modeling generation system for modern jewelry, featuring design input, intelligent generation, and intelligent manufacturing as the main processes, is developed through software programming. Finally, design examples are used to verify the results. By incorporating traditional graphic ornament into jewelry design, the mean evaluation score for user preference across various dimensions ranges from 2.8826 to 3.3916, indicating that the design scheme is well-received and highly accepted. This study exemplifies the theory and method of applying traditional graphic ornament to modern jewelry design, providing a reference for similar designs.
Artificial Intelligence Technology Drives Intelligent Transformation of Music Education
Authors: Hou Chunbo
Published: July 2024

With the development of music education and artificial intelligence technology, it is increasingly common to assist teaching with the help of artificial intelligence technology in music education at present. This paper analyzes the role of intelligent transformation in music teaching, discusses its necessity, and proposes the direction of constructing an intelligent music teaching system accordingly. In the construction of the intelligent music teaching system, the short-time autocorrelation function method, the average amplitude difference function method, the inverted spectrum method, and the median smoothing and linear smoothing algorithms in the fundamental tone smoothing algorithm are introduced in the audio feature extraction algorithm. With the RBF algorithm as the core of the system design, the layers of the neural network structure are sequentially attributed to the implicit layer, the input layer, and the output layer to construct the RBF model for students to learn music knowledge. Taking first-year students majoring in music at Z University in Jiangsu province as research subjects, the use of an intelligent music teaching system is being carried out in teaching practice. The students’ sound sense and music sense improved by 15.33 and 14.25 compared to the pre-practice period, showing significant differences (P<0.05). A highly significant difference (P<0.01) was demonstrated in all dimensions of music literacy.
Exploration of Sports Film and Television Art and Youth Cultural Literacy in the Internet Era
Authors: Huang Qian
Published: July 2024

This paper starts from the connotation of the definition of sports, film art and youth cultural literacy, and after determining the corresponding independent variables and dependent variables, the quantile regression model is constructed using the least squares method. The research data is collected, and examples analyze the constructed regression model. The results showed that the multivariate correlation coefficient between the four performance types of sports film and television art and adolescent cultural awareness was 0.265, and the F-value of the overall test was 19.548 (P<0.001). In addition, documentaries (B=0.349, S.E=0.111, p=0.001) and variety shows (B=0.249, S.E=0.028, p<0.001,) had a significant positive predictive effect on adolescents’ cultural awareness, whereas sports event indicators (B=0.227, S.E=0.078, p=0.125,) and film and television dramas (B=0.259, S.E=0.056, p=0.244) have no significant correlation effect on adolescents’ cultural awareness. In conclusion, based on the results of regression analysis, it is revealed that film and television art have a relationship with the cultural literacy of adolescents, which facilitates the formation and development of cultural literacy.
A Study of the Impact of Internet Technology on Minority Languages and Cultures
Authors: Jia Furui
Published: July 2024

Network technology influences and transforms the language use, environment, and cultural practices of ethnic minorities. This paper designs a text classification model for minority languages and cultures, utilizing BERT for word vector modeling, and introduces LSTM and attention mechanisms to capture distant semantic information, solve the gradient vanishing problem, and learn contextual details. The BiLSTM multi-head attention mechanism is then used to filter important semantic features of the input sequence, and finally, all extracted features are linked to complete the text classification and output the categories of minority language and culture texts. The model is applied to text datasets from ethnic minority forums and their news video datasets. It is found that the proportion of traditional ethnic minority vocabulary in forums decreased from 14.6% in 2004 to 10.7% in 2024. Conversely, the ratios of vocabulary related to consumption, marriage, employment, and education increased, with the ratio of marriage-related vocabulary rising from 0.33 to 0.94. This suggests that, despite the influence of Internet technology, traditional cultural concepts of marriage among ethnic minorities remain widely observed. This study provides a feasible solution for categorizing texts in minority languages and offers a unique reflection on the influence of the Internet on the cultural changes of minority languages.
Contingent and Actual: The Realistic Dilemma and Path Reconstruction of “Dual Tutoring System” in Master of Education
Authors: Wu Dongcun , Li Huiwen
Published: July 2024

The dual tutorial system is a new educational model that involves two tutors, one from on-campus and one from off-campus, participating in the entire cultivation process of graduate students. Since the adoption of the dual tutor system in education to jointly cultivate professional degree students, it has achieved good results, but it has also created many problems. In this paper, we firstly clarified the reality of the dual tutor system of master of education through visiting and investigation, and then designed a questionnaire to investigate the understanding of master of education students about the dual tutor system, the guidance of internal and external tutors, and the communication between students and tutors, in order to understand the communication between master of education students and tutors. Then, we designed a questionnaire to understand the implementation status of the “dual tutoring system” of a master’s degree in education by investigating the understanding of the “dual tutoring system”, the guidance of internal and external tutors, and the communication between students and tutors. Finally, this paper puts forward the reform path of the “dual tutorial system” for masters of education. The results of the survey show that more than 70% of education master’s degree students support the “dual tutor system”, but nearly half of the students do not understand the specific content of the “dual tutor system”, internal and external tutors have basically accomplished their duties, and the student’s willingness to communicate with their tutors is not high overall. Suppose the reform path proposed in this paper can be realized in the actual operation of a “dual tutoring system” for a master of education. In that case, it can have a significant positive impact on the cultivation of a master of education.
Application of fuzzy neural network algorithm in the analysis of learning behavior of university users
Authors: Li Huishu , Ren Juanhui , Ren Bo
Published: July 2024

The rapid development of Internet technology and education informatization has accelerated people’s learning and changed their way of thinking and cognition. Colleges and universities have set up their cloud classroom learning platforms, and the mining and analysis of the platform’s learning data is, therefore, particularly important. In this study, the SOFM-based FCM algorithm is used to perform fuzzy clustering of user subjects with different learning behaviors, and then the FDMA algorithm is used to mine the association rules of users’ learning behaviors, and the fuzzy neural network algorithm is also used to predict the learning performance to achieve the fuzzy neural network algorithm based on the fuzzy neural network algorithm to analyze the learning behaviors of users in colleges and universities. On this basis, we are developing and implementing a system to monitor the learning behavior of college users to explore its practical value. Based on different user behaviors, college student users are divided into three categories: high motivation to study (29.8%), medium motivation to study (46.2%), and low motivation to study (24.0%). The confidence level of the mined fuzzy association rules takes the range of [0.84, 0.95], which has a high confidence level. The academic performance prediction model had an average relative error of 0.0278 and 0.0281, with better model fitting and higher accuracy of prediction. The success rate of user access to the system is high, and the system has been well-tested. This study provides a reference for the application of fuzzy neural network algorithms in the analysis of user learning behavior in universities.
Research and optimization of cross-border e-commerce marketing mode based on big data technology
Authors: Jiang Yuanyuan , Li Long
Published: July 2024

The development of mobile Internet promotes the updating of cross-border e-commerce models, and the precision marketing realized by relying on big data technology better meets the all-around demand of users for content, socialization, and transactions. The article establishes a cross-border e-commerce marketing process on the basis of STP marketing management and builds a cross-border e-commerce precision marketing model by combining the STP marketing model. The user behavior characteristics of cross-border e-commerce users are extracted based on the RFM model, and the user behavior model is established by combining the user’s interest in purchasing goods. Then, the K-Means clustering algorithm is used to process the subgroups of cross-border e-commerce customer samples so as to construct a precise portrait of users. The cross-border e-commerce enterprise Z is selected as the research object, and the impact of precision marketing strategy on its user growth, merchandise sales, click-to-purchase conversion rate, and marketing optimization effect is analyzed. The number of effective users grew from 10,516 in 2020 to 16,804 in 2022, and the click-to-purchase conversion rate of products improved by 20%~46%, and different types of customers have various degrees of improvement under the precision marketing strategy. Based on big data technology, cross-border e-commerce users can be accurately portrayed, marketing products can be provided to users with more accuracy, and cross-border e-commerce enterprises can effectively enhance their marketing capabilities.
Constructing the Teaching Classroom for Japanese Language Majors in Colleges and Universities from the Perspective of New Liberal Arts
Authors: Li Yanfen
Published: July 2024

The Japanese language major, a subset of foreign language disciplines at higher education institutions, is the focus of this study, which advocates a novel instructional pathway based on the new liberal arts perspective. This paper introduces the BRD teaching model for Japanese language majors in colleges and universities, detailing a six-faceted approach: task assignment, preparation stage, lecture delivery, report writing, report submission, and teacher grading. An evaluation system was established to measure students’ engagement and assess the effectiveness of the BRD model in Japanese language education. According to our findings, all students perceived the BRD method as beneficial for mastering politeness strategies, although only 4.75% found it marginally less effective for acquiring agreement and pleasantries strategies. Comparative experimental analysis revealed that students in experimental class C, under identical academic conditions, not only mastered polite language strategies as effectively as their peers but also achieved significantly higher average final grades compared to those in the traditional class B. The statistical significance of these outcomes, with a p-value of less than 0.05, underscores the efficacy of the proposed BRD teaching model in enhancing students’ proficiency in Japanese.
Research on Reconstruction of Practical Training System of Big Data and Accounting Professional Group Based on Virtual Simulation Technology
Authors: Li Ying , Li Junmei
Published: July 2024

This paper combines the synergistic development logic of the accounting professional group, modeling the virtual simulation accounting professional group practical training scene through 3DMAX software, followed by particle swarm algorithms for scheduling the practical training resources, accountants into the virtual workplace roles through the system guidelines to complete the practical training tasks, and solving the target position so as to realize the human-computer interaction. The results of the application of the practical training system in actual teaching show that the unemployment of accounting practitioners in 2023 is as high as 12.71%, and the high unemployment rate pushes the accounting profession to reform in the direction of virtual simulation and real training. In four system delay experiments, the practical training system generally has shorter delays and better performance compared to the traditional method. The virtual simulation training system has a significant effect on the student’s academic performance, especially the practical performance, learning attitude, and accounting literacy (Sig<0.05), and improves the theoretical knowledge and practical hands-on ability to account majors.60.7%-66.94% of the students are satisfied with the virtual simulation training system. The practical training system in this paper has obvious advantages, as shown.
Research on Collaborative Filtering Algorithm Based on Hadoop Architecture for Matrix Dimension Reduction in E-commerce Environment
Authors: Liang Bing
Published: July 2024

The rapid popularization and expansion of the Internet have catalyzed the growth of diverse e-commerce platforms. To mitigate information overload and enhance consumer shopping experiences, recommender systems have been developed. Our proposed algorithm, grounded in the Hadoop architecture, employs a refined cosine similarity method to calculate the average distance between users and rated items. This method involves the application of the Singular Value Decomposition (SVD) model to reduce the dimensionality of the user-item rating matrix, facilitating the extraction of item feature vectors. Subsequently, these vectors are clustered and segmented using the Matrix Factorization (MF) algorithm, addressing the challenge of data sparsity effectively. Experimental evaluations demonstrate that our enhanced algorithm outperforms five conventional collaborative filtering recommendation algorithms across varying matrix densities (from 0.05 to 0.25) on a public dataset. This results in a significant reduction in prediction error, thereby offering users more precise item recommendations.
Incorporating Textual Analysis for Genre Measurement of Narrative Discourse in Business English
Authors: Lin Mei
Published: July 2024

In recent years, business English narrative genre research has been characterized by ambiguous concepts, insufficient theoretical basis, and single-genre features, which have weakened the reliability of research conclusions. Accordingly, this paper examines the representative genre of business English narrative, “management discussion and analysis report”, and explores its genre characteristics and its mapping relationship with corporate performance. The measurement framework is based on the discourse level, genre level, professional practice level, and professional culture level and builds a textual analysis path. In order to observe the lexico-grammatical features highlighted in the four levels of discourse, this paper designs the linguistic feature extraction process and the keyword information extraction method involved in the process. This paper improves the LDA model by introducing the emotional information factor, and improves the keyword extraction algorithm in the model based on information theory. According to the designed method for extracting linguistic features, the representative genre text is analyzed in terms of intonation. Through empirical analysis, it is found that the positive tone and negative tone of the retrospective part of the text of the representative genre are correlated with the current year’s performance of the enterprise at a significant level of 1%, and the positive tone is positively correlated with the current year’s performance, while the negative tone is negatively correlated with the current year’s performance. The positive and negative tone of the outlook texts is not significantly related to the performance of enterprises in the next year. The association of genre characteristics with the current year’s performance of the enterprise is evident but not with the next year’s performance. This paper’s text analysis path can be explored in detail for business English narrative discourse genre measures.
The Current Situation of the Implementation of College Admission System and the Way of Reform in the Digital Age
Authors: Liu Yabin
Published: July 2024

With the progress of science and technology and social changes, higher education in China is experiencing unprecedented challenges and opportunities. The digital era has not only changed teaching methods but has also profoundly affected the enrollment system of colleges and universities. The study uses a decision tree-based enrollment information mining algorithm and a gray prediction model to construct a data mining model of the current status of enrollment system implementation. Through the data mining model, the data mining and analysis of the student source status of college enrollment are used to propose targeted reform proposals. The number of female students in School Z has been increasing each year, while the number of male students has decreased significantly. The number of students with grades A and B is much lower than that of students with grades B and C. Among the special types of enrollment sources, the enrollment of national defense students and high-level athletes has decreased year by year, while the enrollment of the poverty special program has shown a yearly increasing trend. During the four years, the enrollment of national defense students was 61, 54, 46, and 39, and the enrollment of high-level athletes was 15, 14, 12, and 10. The enrollment in special programs for people experiencing poverty increased from 9 to 47 during the four years. The reform of the college enrollment system should focus on reforming the content of the examination, and government departments to do a good job of coordinating planning, improving laws and regulations, and putting an end to malpractice and irregularities.
A Study on the Enhancement Strategies of Physical Education Teaching in Colleges and Universities Based on the Kano Model
Authors: Shi Wei , Yang Lin
Published: July 2024

Physical education (PE) within higher education plays a crucial role in fostering moral integrity among students. However, traditional approaches in PE have often struggled to align with student needs, leading to suboptimal educational outcomes. To address these challenges, this study employs and refines the Kano model to better analyze and categorize student needs in PE classrooms. By adopting mixed class analysis, the ambiguity typically associated with classifying needs in the conventional Kano model is significantly reduced. This refinement allows for a more nuanced consideration of various demand elements. Utilizing the Better-Worse coefficient, the study evaluates the influence of distinct educational needs on student satisfaction within courses. This analysis facilitates the identification of specific types of needs. For instance, in a controlled study focusing on basketball training, the application of the revised Kano model yielded notable improvements in students’ basketball skills. Specifically, scores for the 5-step backward shot increased from 12.55 to 15.97, and scores for the marching shot rose from 8.64 to 11.04. Additional enhancements were observed in the marching pass and half-court folding dribble, improving by 2 and 4 points, respectively. Furthermore, the basketball theory scores of students in the experimental group surpassed those of the control group by 7.92 points, with classroom satisfaction ratings also averaging 2.2 points higher. These findings underscore the substantial impact of the enhanced Kano model on improving basketball skills, theoretical understanding, and overall classroom satisfaction, highlighting its efficacy in tailoring PE curricula to meet student needs more effectively.
Model Construction and Path Exploration of Integrating Traditional Culture into College English Teaching in the New Media Era
Authors: Hao Jingdong , Sun Shanhui
Published: July 2024

Based on the current situation of English teaching in colleges and universities, this paper proposes a path for the integration of traditional Chinese culture into English teaching in colleges and universities, which mainly covers teaching content, information technology, and practical activities combined with the principle of deep integration. In order to explore the desirability of the path of integrating traditional culture into English teaching in colleges and universities, a structural equation model oriented to the integration of traditional culture into English teaching is constructed, the latent and explicit variables of the model are defined, and set, and an example analysis of the integration of traditional culture into English teaching in colleges and universities under the perspective of new media is carried out by combining the data of the study. After analysis, it can be obtained that the evaluation indexes of the fit of the structural equation model are 1.728, 0.048, 0.884, 0.896, and 0.697, respectively. Moreover, the experimental group and the control group are significantly different in the aspects of accuracy (P=0.0292<0.05), fluency (P=0.0314<0.05), and logic (P=0.0253<0.05). And there is no significant difference in flexibility (P=0.612<0.05). This study can not only help students to have a more in-depth understanding of traditional Chinese culture but also cultivate their hands-on practice and thinking ability so that English knowledge can be put into practice.
The Embodiment of the Elements of Thinking and Politics in Digital Art Design in the Internet Era
Authors: Song Xiaojing
Published: July 2024

Civic and political elements play an indispensable role in the process of national cultural development. In the context of the era of booming Internet technology, this paper proposes the extraction technology of the Civic and Political elements of digital art design and explores the effective way of disseminating the Civic and Political elements in the Internet. The mean drift clustering algorithm is introduced to the image to segment the source image into multiple independent and disconnected image sub-blocks to achieve the segmentation pre-processing of the image. Subsequently, the density peak clustering algorithm is used to design the main color extraction algorithm, separate the image from the background by Otsu threshold segmentation and hole filling algorithm, and perform color clustering on the image to achieve the feature extraction of Civic and Political elements. This algorithm’s extraction time efficiency is superior to that of Grabcut, LazySnapping, and RepSnapping algorithms, and the correct extraction rate is over 85%. Taking the digital artworks published on the Internet as of December 2023 as the main research body, the implication of ideological and political elements is analyzed. The number of occurrences and extractions of each Civic and Political element is in the interval of 400~900, and the concentration of Civic and Political embodiment has been improved, but there is still much room for improvement.
Research on the Teaching Reform of “Communication and Writing” in Colleges and Universities under the Background of Melting Media
Authors: Sun Baomin
Published: July 2024

Students frequently encounter challenges in vocabulary selection, clarity of expression, and the construction of lengthy, under-informed essays during communication and writing tasks. To address these issues, this paper introduces a novel approach utilizing sentence recommendation to enhance students’ communicative and writing competencies. Specifically, the proposed model employs a Probabilistic Latent Semantic Analysis (PLSA) topic model to calculate the similarity of Chinese sentences and recommends contextually relevant sentences to students, thereby guiding their communication and writing efforts. Additionally, the Latent Dirichlet Allocation (LDA) topic model is applied to analyze and mine the corpus at both word and sentence levels, culminating in the creation of comprehensive and varied practice documents through thoughtful integration. Building on the capabilities of these models, we devise a pedagogical strategy for the course “Communication and Writing”. Empirical testing reveals significant improvements; the average score of the experimental class’s pre-test exceeded the post-test by 4.01 points in terms of self-efficacy in communication and writing tasks. Moreover, the total scores reflecting students’ self-efficacy in communication and writing assignments and skills showed marked enhancement, bolstering their self-efficacy in these areas. Regarding behavioral changes, the proportion of students frequently initiating communication and writing activities surged from 4.5% to 23%, an increase of 18.5%. Ultimately, the instructional strategies outlined in this study provided students with effective practice tools, significantly elevating their cognitive and sentence quality in communication and writing tasks.
Misconceptions and Countermeasures in the Training and Management of Young Teachers in Colleges and Universities in the Context of Deep Learning
Authors: Wang Zhijuan
Published: July 2024

This paper uses the method of statistical analysis to study the interpersonal relationship feelings, teaching ability, teacher responsibility, professional ethics, work commitment, and work values of young teachers and to explore the impact of different gender, education, school, and other factors on the professional quality of young teachers. Through the analysis of the current situation of young teachers’ professional quality, we summarize the problems in the training and management of teachers and put forward targeted improvement suggestions to construct a new path for the training and management of young teachers. The study shows that young teachers in the age group of 28-35 have a lower work commitment score. The mean values of the teacher-student relationship and relationship with parents of young teachers are 3.375 and 2.685, respectively, and there are problems in the teacher-student relationship and relationship with parents. This study has practical value and guides training young teachers and managing colleges and universities.
Applying the Maximum Information Entropy Model to Optimize Innovative Strategies for Physical Education Management
Authors: Yang Pingchuan
Published: July 2024

Physical education holds a crucial role in the educational systems of schools at all levels, and innovating physical education management is essential for promoting its coordinated development. This paper uses the maximum information entropy model as the foundation and, with the goal of optimizing the quality of physical education management, establishes an evaluation index system for physical education management quality based on the generalization and summarization of traditional evaluation theory. For the established evaluation indexes, the entropy weight method in the maximum information entropy model is used to assign certain weights to the indexes at all levels in order to highlight the importance of different indexes in the evaluation system of physical education management quality. In the process of indicator screening, the mean value of the first, second, and third level indicators established in this paper is greater than or equal to 3.75, and the standard deviation and coefficient of variation also meet the design requirements of this paper, so there is no need to eliminate the indicators or other work. In the weighting analysis, the weight of the teaching process is 0.5136, which is the evaluation indicator with the highest weight among all the first-level indicators, while the weight of the professional education competence is the highest among the second-level indicators and all the third-level indicators are also given the corresponding weights. According to the results of the screened evaluation indexes and weights, this paper completes the establishment of the quality evaluation system of physical education management based on the maximum information entropy model and the formulation of evaluation standards, which provides strong support for the innovation of physical education management.
Modeling the Coupling of Mental Health Education and Student Management in Colleges and Universities
Authors: Yang Po
Published: July 2024

Influenced by some traditional thinking, some college student managers do not recognize the importance of mental health education and fail to effectively integrate mental health education into student management, resulting in poor student management results. This paper proposes an improved optimization scheme for the ID3 algorithm, using the improved C4-5 algorithm to construct a decision tree model, selecting information gain and gain rate as the attribute measure of the model and deciding the split form of the sample. Succeeding pruning operations are used to correct model errors, and the rules are described in the form of TF-THEN. Mental health education is the application of the constructed data model. The effectiveness of student management after mental health education was differentially analyzed across the different identity perspectives of teachers and students. There are significant differences between teachers and students in the dimensions of practice effect, strengths evaluation, and direction of improvement, with p-values less than 0.05. In the study of the effectiveness of student management on students’ mental health, after the implementation of student management work, there are significant differences between the experimental group of students and the control group in the dimensions of self-confidence, emotional intelligence, and frustration tolerance, with a difference of 4.61, 1.6, and 7.9 points, respectively. There is a reciprocal interactive relationship between student management and mental health education.
Study on the Significance of Ethnic Minority Handicraft Inheritance Development for Rural Revitalization in the New Era
Authors: Yang Shaojun
Published: July 2024

With the acceleration of globalization, the inheritance and development of ethnic handicrafts face unprecedented challenges and opportunities, and it is of great significance to transform ethnic handicrafts into a driving force for rural revitalization. The study constructs a relationship model between ethnic handicrafts and rural revitalization through structural equation modeling and maximum likelihood estimation and explores the impact of ethnic handicrafts on rural revitalization by analyzing and verifying the impact of residents’ perceptions of economic, socio-cultural and environmental influences on their attitudes toward the development of ethnic handicrafts. There are 54.2% males and 45.8% females in the study sample. The age range is between 31 and 40 years, and the education level is concentrated in junior and high school. 54.5% have a monthly income of 2500~3500 RMB, and the occupation distribution is mainly farmers. Except for Hypothesis H5, the remaining five hypotheses were valid. Both economic impact perception and socio-cultural perception have a significant impact on residents’ attitudes towards ethnic handicraft development. Residents’ ethnic handicrafts’ positive perception of environmental impact has no significant impact on their development attitude, while negative environmental impact perception has a significant negative impact on their development attitude.
Integration of Red Cultural Resources into the Teaching of Civic and Political Science Courses in Colleges and Universities under the Media Perspective
Authors: Yang Yankai
Published: July 2024

Red cultural resources are pivotal in enhancing the pedagogical impact of ideological and political education within higher education institutions. The process of digitally converting these resources significantly broadens the avenues for communication, enriches the content, and elevates the efficiency of dissemination. This investigation delves into the synergistic fusion of virtual reality (VR) technologies with red cultural assets, leveraging the distinct capabilities of VR— namely its immersive, interactive, and perceptual qualities—to augment the efficacy of ideological and political theory instruction in universities. To refine the graphical detail within the virtual environments, this study introduces an adaptive Level of Detail (LOD) model generation algorithm. This novel approach builds upon traditional LOD techniques by incorporating a mesh simplification strategy that utilizes edge collapse. The cost of edge collapse is quantified through a combination of the quadratic error metric and the product of model surface curvature with the length of the collapsed edge. This method facilitates the rapid generation of recursive mesh models, enhancing the visual quality and performance of the VR experience. The practical application of virtual red cultural resources in civics education was evaluated through a comparative study. The empirical findings indicate that the integration of these resources into civics classes resulted in a significant improvement in student performance, with the experimental group outperforming the control group by an average of 11.01 points in post-test assessments. Additionally, the majority of students exposed to the VR-enhanced teaching methodology expressed a high degree of satisfaction, underscoring the potential of virtual cultural resources to enrich traditional educational settings. This demonstrates the transformative potential of integrating advanced digital tools with red cultural content in academic contexts.
Research on the innovation of logistics and catering management in colleges and universities under the background of big data
Authors: Yu Xiaodong
Published: July 2024

Under the background of big data, people’s requirements for college catering management are also increasing, and the integration of Internet technology into college catering management has become a key research issue. Considering the characteristics of college catering management, this paper proposes the innovative strategy of “big data + catering management” based on game theory. According to game theory, the corresponding parameters are defined, and then the game matrix between the government and cafeteria management is constructed. A case study of college food service management from the perspective of big data is conducted using game theory and data simulation software. The data show that g
1 =100, b
1 = 50, p
1 = 80, β = 0.2, β

b
= 20 . p
2 = 40, c =100, g
2 = 60, b
2 = 80, p
2 = 40, β
p = 2, found that b
1 < b
2, g
1 > g
2 + β

b
, p
1 > p
2 + β
p + β ·c the three converge at (0,0,0), the government and the third-party platform lax supervision, the canteen is not self-discipline, the college canteen behavioral norms still need to be coordinated and supervised by the platform, and the government, as a means of promoting the development of innovation in the management of college back-office food and beverage.
Theory and Practice of Integrated Development of Cultural Tourism Industry and Urban Construction in the Context of Multimedia Era
Authors: Zhang Chengcheng
Published: July 2024

The study constructs the evaluation index system of the integration of the cultural tourism industry and urban construction from multiple dimensions, collects the relevant index data of a city, and measures the integration level of cultural tourism industry and urban construction after determining the index weights by using multiple regression analysis. On this basis, using structural equation modeling, the interactive relationship between the cultural tourism industry and urban construction is analyzed, and the influencing factors are explored. Further, the path of integration between the cultural tourism industry and urban construction is proposed. The sample city has the highest level of integration of tourism for the convenience and benefit of the people (0.178), while its level of integration of the cultural tourism industry and urban construction is medium (0.327). The cultural tourism and urban construction industries are mutually reinforcing, and the positive impact of the former on the latter is relatively significant (0.534). Among the various influencing factors of the integration of the two, infrastructure (0.515) and capital energy (0.443) have the greatest degree of influence. The research in this paper provides a new and innovative model for the development of urban cultural tourism and ultimately effectively implements and bases on urban renaissance as well as cultural tourism project activities to realize the sustainable development of the cultural tourism industry and urban construction.
Analysis of Strategies for Improving Public Service Level in Ethnic Areas Based on Big Data Technology
Authors: Zhang Jing
Published: July 2024

The essential role of basic public services is to mitigate income disparities across regions, between urban and rural areas, and among societal members, thereby fostering social equity and ensuring the harmonious progression of society. This article delves into the theoretical foundations of public services within ethnic regions and proposes an evaluation index system grounded in the principle of public service equity. To quantify the provision of public services in ethnic areas, the study employs a comprehensive scoring model and the Thiel index, enhancing the analytical framework with the Data Envelopment Analysis (DEA) model to assess the efficiency of public service delivery. Additionally, the Malmquist index is utilized to trace the dynamic evolution of public service levels over time. The research focuses on five ethnic autonomous regions, evaluating their public service levels and operational efficiency. Findings indicate a relatively low Thiel index in these regions, ranging between 0.36 and 0.39, suggesting modest disparities in public service provision. The variance between the highest and lowest average technical efficiencies in public services across these regions from 2015 to 2019 was a mere 3.33%, with an overall efficiency increase of 24.20% during this period. The data underscore a critical need for enhanced investment in public services within ethnic regions to satisfy the escalating demand and effectively foster a service-oriented governmental framework.
An Innovative Model of English Translation Teaching Mode in Colleges and Universities from a Cross-cultural Perspective
Authors: Zhang Sijia
Published: July 2024

English translation teaching in colleges and universities has problems such as outdated models, lack of attractiveness, and low efficiency. In this paper, we construct an automatic translation scoring model for English teaching, convert the English translation scoring problem into a semantic similarity problem of multiple English phrases, combine the Bi-LSTM algorithm to realize lexical embedding encoding, and design a feature extraction algorithm mainly based on the Transformer encoder. The attention mechanism is introduced to interact with the English phrases with the translation similarity information and linguistic information, and the global optimal strategy is used to select the score as the final score of similarity and calculate the automatic translation scoring score. After the construction was completed, two classes of the same major in a university were used as the experimental class and the control class to conduct a controlled trial of the new teaching mode utilizing the model. It was found that after one semester of teaching, the translation scores of the experimental class and the control class were 94.63 and 82.77, respectively, and the gap between the two classes was 11.86 points, which was obvious compared to the pre-test gap. There is no significant change in the translation level of the control class, and the experimental class has made considerable progress, with its scores in the five dimensions being 12.7%, 6.7%, 26.6%, 13.9%, and 35.6% higher than those of the control class respectively. It can be concluded that the effectiveness of adopting the new teaching mode is remarkable. The students’ translation level has made tremendous progress, the model and the latest teaching mode are widely recognized and accepted by the students in the experimental class and produce greater attraction, and the students’ attitude towards translation learning is more positive. This study provides a useful exploration of the innovation of English translation teaching methods in colleges and universities and improves the efficiency and learning effect of English translation classrooms.
Text Mining Techniques for Linguistic Characterization of Jewish Literature - An Example from Philip Roth’s Goodbye, Columbus
Authors: Zhang Xiaofang
Published: July 2024

Text mining technology holds considerable potential for augmenting research in the humanities, offering a novel approach to overcome the limitations inherent in traditional introspective methodologies and introducing innovative perspectives for literary analysis. This study explores the application of text mining within the humanities and social sciences, employing the Term Frequency-Inverse Document Frequency (TF-IDF) method for the feature vector representation of textual information. It constructs a linguistic feature analysis model using three computational techniques: support vector machine, logistic regression, and the naive Bayesian model. Philip Roth’s “Goodbye, Columbus” serves as the focal point of this research. The study involves preprocessing the text corpus and subsequently comparing the performance indices of the three linguistic feature analysis models to delve deeper into the relevance of syntactic and semantic feature analysis. The evaluation criteria used to delineate the linguistic characteristics of Jewish literature are identified and employed to conclude. Among the models tested, the support vector machine model demonstrates superior performance, evidenced by its higher accuracy (0.839), precision (0.866), and F-value (0.874) relative to the other models. The analysis identifies the most influential features for capturing the linguistic essence of Jewish literature as the proportion of dialogue, sentence disjunction, average word length, and word disjunction. The selected sample of Jewish literature exhibited notable characteristics, including dialogue richness (0.369), sentence rhythm (0.234), and linguistic richness (0.266). The findings affirm that the text-mining approach utilized in this study significantly enhances the linguistic characterization of Jewish literature. This method proves effective in assisting the linguistic analysis and research of Jewish literary works, thereby reinforcing the value of integrating advanced computational techniques in humanities research.
Cultivation of Intercultural Communication Competence of English Teacher Training Students in Colleges and Universities in Ethnic Areas under the Background of Deep Learning
Authors: Zhong Doumei
Published: July 2024

The assessment of intercultural communicative competence (ICC) is increasingly recognized as a critical component of students’ professional competency development in higher education settings. This paper explores the objectives of cultivating ICC and proposes an assessment scheme aligned with the principles of competency cultivation and the ICC acquisition model. To elucidate the linkage between teaching activities and ICC development, the Apriori algorithm is employed to analyze their relationships and to construct a weight matrix for these activities. Further, the Sim Rank algorithm is applied to determine similarities among students, while the K-means algorithm is used to cluster students into distinct groups. The assessment system’s feasibility is validated by analyzing the variations in assessment outcomes. This study also conducts a detailed graphical analysis of students’ attitudes towards ICC and examines the influence of five dimensions of English language proficiency—listening, speaking, reading, writing, and translating—on ICC. The results reveal a strong correlation between the three ICC dimensions—attitude, knowledge, and skill—with the overall ICC level. These dimensions are ranked in terms of correlation strength as follows: knowledge (0.963), skill (0.881), and attitude (0.758). Additionally, a positive correlation exists between the five facets of English language proficiency and cross-cultural variables, suggesting that learning English and cultivating ICC are mutually reinforcing. This underscores the need to enhance English language instruction to effectively support the development of ICC.