bluuebunny/crossref_metadata_2025_split huggingface dataset:
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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.
The Construction of Safety Education System in Colleges and Universities Based on Network Communication Algorithm
Authors: Zhu Lihua 
Published: July 2024

Abstract
In the information network, using the characteristics of information diffusion of the Internet, information pushing can be carried out effectively to help publicize safety education, which is of great significance to the construction of safety education system in colleges and universities. In this paper, we optimize the distribution of nodes through graph transformation and independent set ideas and propose an influence maximization algorithm based on HISS to improve the usability of safety information. On this basis, an adaptive safety education system is designed, and an optimization algorithm is proposed for determining the probability of content and knowledge point mastery, which is applied to actual safety education. It was found that the total score of the safety test of the experimental class was improved by 16.22 points before and after, the total score of the experimental class exceeded that of the control class by 10.49 points, and the p-values were all less than 0.001. In total, 84.53% of the students strongly agreed or agreed that the types of learning resources could satisfy their learning needs, and 82.29% of the students were satisfied or very satisfied with the way of pushing the resources of the online course. It indicates that improving the safety education system can increase students’ motivation to learn safety, promote the mastery of safety skills, and cultivate safety awareness.