bluuebunny/crossref_metadata_2025_split huggingface dataset:
Exploration and Practice of English Civics Teaching Design in Colleges and Universities Based on Big Data Analysis
Authors: Lyu Ruifeng 
Published: February 2024

Abstract
This study explored the cutting-edge methodology of integrating curricular Civics into teaching specialized disciplines in higher education, an essential trend for the future development of higher education. By applying data-mining algorithms, the article constructs a big-data analysis framework from the dimensions of students’ classroom behavior and performance. The fuzzy C-mean clustering algorithm was optimized using the cuckoo algorithm to effectively classify the characteristics of students’ behavior in the Civics classroom, and the attention-based hybrid encoder-decoder model was used to accurately predict students’ grades. After establishing a complete analytical framework, an innovative college English Civics teaching model was developed following the ASSURE teaching model. It was applied and analyzed for its effect in actual teaching. The study results show that, after the implementation of the English Civics and Politics course based on the ASSURE model, the average grade of the students increased by about 0.5 points. The grades were distributed between 80 and 95 points, significantly different from the pre-test grades (P<0.05). The prediction error was controlled to be less than ±2 points, which indicates that the teaching model had a significant teaching effect. This study not only improves English learning performance but also promotes the improvement of students’ performance in Civics, showing the great potential and value of integrating Civics curriculum into professional teaching.
Research on the linkage of “one, two, three, four classrooms” of ideological and political education in colleges and universities based on big data platform.
Authors: Deng Gang , Hu Xinyue 
Published: February 2024

Abstract
To comprehensively improve the quality of ideological and political education in colleges and universities, and to ensure the realization of the fundamental goal of cultivating morality and educating people, this paper emphasizes the importance of the “one, two, three, four classrooms” linkage teaching mode, and proposes an intelligent ideological and political education platform based on big data technology. The platform integrates the first, second, third and fourth classrooms to form an efficient linkage education model. To assess the specific impact of this model on education quality, this study constructed a model using multiple linear regression and estimated the parameters using the least squares method. Through the questionnaire survey and data analysis of five colleges and universities in the university city of L city, it was found that the development quality of the “one, two, three, four classrooms” linkage was generally distributed with the mean value lying in the interval of [0.35,0.55]. Under the baseline regression analysis, the four classrooms had a high R2 fit value of 0.8517 to the dependent variable. The quantile regression analysis showed that as the quantile nodes increased from 0.5 to 1, the number of classroom nodes risen from 1 to 2. Showed that as the quantile node increased from 0.1 to 0.9, the R2 fit value improved more than twofold. This result highlights the need to consider the teaching effect of each classroom comprehensively to ensure that the goal of high-quality development can be realized when colleges and universities promote the “one, two, three, four classrooms” linkage teaching mode of Civics.
Literary Criticism Based on the Theory of Information Dissemination-The Spiritual Recasting of Cast Swords in Moonlight Chopping
Authors: Lin Meng 
Published: February 2024

Abstract
By reading and analyzing Moonlight Chopping and Cast Swords meticulously, this study reveals the polysemous textual world constituted by these two works, covering the mockery of dystopian realities, the inheritance of the spirit of vengeance, as well as the profound reverence for the essence of life. Web crawler technology is employed to obtain the textual content of Moonlight Chopping and Cast Swords, and the data is pre-processed. A corpus is constructed using a lexical algorithm. The in-depth extraction of thematic linguistic features of the two works is realized by combining Gibbs sampling and EM algorithm to accurately estimate the parameters of the LDA topic model. It is found that Moonlight Chopping and Cast Swords show significant correlation on the story and ideological level, but apparent differences in story focus, expression form and aesthetic style. Specifically, the average sentence length of Moonlight Chopping is only 1.18 units longer than Cast Swords. At the same time, its STTR value is only about 4.3% higher than Cast Swords, indicating that Moonlight Chopping has successfully achieved subtle thematic differences while maintaining the vengeful narrative style of Cast Swords, demonstrating a profound transformation of traditional culture and historical continuity.
Research on the Evaluation and Enhancement Strategies of College Students’ Health Human Capital in “Healthy Hunan” under the Background of Big Data
Authors: Mu Hongsheng , Nie Huiping 
Published: February 2024

Abstract
This paper precisely explores the structure and characteristics of college students’ healthy human capital and its influencing factors. It aims to enhance students’ positive and healthy mindset and promote optimism in life and learning. A solid analytical framework is constructed by sorting out the ordered multicategorical logistic regression model and parameter estimation methods and the application steps of the propensity score matching model. College students from ten colleges and universities in Hunan Province were selected as research subjects, and a questionnaire was designed to assess their healthy human capital. The specific factors affecting college students’ healthy human capital accumulation were analyzed in depth through the probability density analysis of propensity score matching, standard support hypothesis testing, and the parallel line test and regression results of the ordered multicategorical regression model. The findings show that the curves of the experimental and control groups after propensity score matching almost overlap in the [0.2,0.4] interval, indicating the method’s validity. A more important finding is that the number of college students with poor self-assessed physical health is 8.063 times higher than that of college students with self-assessed mental health as good, which emphasizes the significant impact of mental health on healthy human capital. Therefore, to effectively improve the health human capital of college students, students, families and universities must form a linkage mechanism and work together to cultivate college students’ health awareness.
Research on the Path Construction and Practice of Bidirectional Cultural Mutual Guidance in Higher Vocational English Course Civics Teaching under the Background of Big Data
Authors: Xu Yuanyuan 
Published: February 2024

Abstract
This study delves into the effective integration of bi-directional cultural intercultural instruction with Civic and Political teaching in a higher vocational English course and analyzes it with an association rule mining algorithm. By screening the weighted candidate itemsets through the weighted support degree model, the study identifies the itemsets’ positive and negative correlation attributes and mines the association rules between English teaching and students’ bidirectional cultural interduction ability by combining with the decision support model. The article also analyzes the content of Civics and Chinese and foreign cultural elements in the English curriculum. It compares and examines the changes in students’ two-way cultural core literacy and its introduction effect. The results of the study show that after the bi-directional cultural Civics teaching in the English curriculum, students experienced significant changes in worldview, values and Chinese and foreign cultural cognition, with t-values of −4.312, −5.034, and −4.275, respectively, and p-values of less than 0.001. In addition, the students’ bi-directional cultural communication competence improved significantly, with scores ranging from 3.8 to 4.3. The study provides valuable insights into the promotion of Chinese-foreign cultural communication and the reform of higher vocational English teaching.
The Construction of English Smart Teaching Platform for Colleges and Universities Based on Deep Learning under the Core Idea of Functional Linguistics
Authors: Yan Dan 
Published: February 2024

Abstract
This study explores the application of intelligent teaching in higher education, especially for the digital transformation of English learning. Relying on online English teaching resources, the article successfully constructs an innovative teaching platform for English teaching in higher education by integrating advanced tools such as deep learning technology, clustering algorithms, and Rasch models. The platform takes students’ self-management awareness as the core. It emphasizes teachers’ evidence-based teaching ability, while considering multidimensional factors such as teaching environment, emotions and characteristics to provide a comprehensive and interactive learning environment. Through in-depth analysis of the application effect of the platform, the study found that students’ agreement in all five key dimensions exceeded 0.24, especially in the teaching emotion dimension with the highest deal of 0.2970, and the results fully proved the significant role of the intelligent teaching platform in enhancing learning effect and stimulating learning interest. This study successfully realizes the efficient interaction between teachers and students. Also, it lays a solid foundation for constructing a natural, harmonious and energetic bright English teaching environment, which is of great theoretical and practical significance for promoting the modernization and transformation of the education and teaching system.
Gray correlation analysis of the big ideology and politics course and academic style construction in colleges and universities oriented to the three-whole-parenting approach
Authors: Yu Qi 
Published: February 2024

Abstract
Academic style, as the core of college culture, has a decisive impact on the development of schools. This paper adopts the gray correlation algorithm and introduces the sequence of dynamic discrimination coefficients to improve the flexibility and accuracy of the analysis. Through the improved gray correlation method, 11 factors affecting the construction of academic style in colleges and universities are studied. The results showed that teachers’ professionalism and teaching methods (15.23), individual students (11.34), social environment (9.51) and teachers’ teaching and management level (7.21) were the main influencing factors. This study provides data support for educational administrators and schools to formulate relevant strategies to promote the construction of excellent school spirit.
The Practice of Refined Management of Office Reception Work in the Era of Artificial Intelligence
Authors: Zhang Yuefang 
Published: February 2024

Abstract
While discussing the importance of office reception work, this article emphasizes the key role of fine management in improving work efficiency and service quality. Against the background of the artificial intelligence era, the article successfully constructs a framework for an office reception work management system by utilizing cutting-edge React and Express technologies. The system not only carries out meticulous module design based on functional requirements, but also proposes a personalized recommendation algorithm integrating clustering and collaborative filtering by optimizing the Similarity of user characteristics and item attributes for joint filtering recommendation to achieve more humanized reception services. To verify the system's effectiveness, this study conducted an application analysis using University Q as a case study. The analysis results show that from 2008 to 2022, the indices of reception preparation, knowledge of reception work, staffing, business skills of reception staff, work attitude and work detail control have been significantly improved, with an increase ranging from 32.0761 to 37.1677, indicating that the management level of office reception work is constantly optimized and shows a rapid growth. This innovative office reception work management system not only realizes refined management, but also comprehensively improves the service efficiency and comprehensive management level, which provides a valuable reference for the management of similar work.
Dynamic Stepwise Carbon Trading Game Scheduling with Accounting and Demand-Side Response
Authors: Zhong Ming , Yu Jingjing , Xiao Jun , Wang Jun 
Published: February 2024

Abstract
With the help of cooperative game theory, this study constructs an integrated demand response economic game scheduling model for carbon trading, aiming to maximize collective and individual benefits. The model effectively reduces the system operating cost by adjusting the electricity price to incentivize PDR-VGU output. The impacts of price demand and integrated flexible operation demand on the coordination degree of carbon trading and the optimized dispatch results under different scenarios are analyzed in depth. It is found that when considering the carbon trading mechanism, the system operating cost and carbon emissions are reduced by RMB 2,129 and 9.63 tons, and RMB 2,350 and 11.96 tons, respectively, showing a win-win situation in terms of economy and environmental protection. In addition, the energy time-shift strategy implemented in the carbon capture power plant system effectively balances the peak-to-valley difference of thermal power output, further reducing the cost.
Research on Visualization Teaching of Art and Design in Colleges and Universities Combining 3D Modeling Technology
Authors: Zhang Yanli 
Published: February 2024

Abstract
This paper discusses constructing 3D modeling process for art and design works using 3D display technology and SIFT feature algorithm. Firstly, the pictures with different angles are obtained by changing the geometric information of the graphics and determining their positions in 3D space. Then the lighting model and texture mapping are used to enhance the realism, and the feature points are extracted in combination with the SIFT algorithm to determine the angle of the pictures. An initial 3D model is generated by image silhouette convergence, which corrects the image segmentation several times to complete the modeling. In addition, the study applies the modeling technique to the visualization teaching of art design, and verifies the teaching effect through students’ attitude and practical performance. The results show that most students have positive attitudes towards visualization teaching, especially in Class 2 and Class 15, where the favorite rate reaches 65%. Under this teaching method, students can flexibly utilize the design elements to create diversified art works.
Research on practical teaching of innovation and entrepreneurship training program for college students based on big data analysis
Authors: Huang Rong , Chen Qi , Lu Liang , Chi Xiaofeng , Zheng Dan , Ding Yi 
Published: February 2024

Abstract
This article explores how digital technologies such as big data and cloud computing promote college students’ innovation and entrepreneurship, especially the impact of innovation and entrepreneurship training programs on college students’ entrepreneurial intentions. The article adopts big data analysis techniques to screen variables, set research hypotheses, and use partial least squares regression to quantitatively analyze the correlation between university innovativeness and training programs. It was found that the number of university intellectual property rights was significantly associated with the objectives of the training program, with a regression coefficient of 0.069. Further, the article pointed out that most students believed that the regulation of the research segment was the weakest. Therefore, the article suggests improving the training program supervision system, significantly strengthening the supervision of the research session, and also explores the correlation between academic professional factors and faculty guidance.
Trends and Prospects of Ecodesign in Urban Landscape Design in the Context of Artificial Intelligence
Authors: Cai Sisui 
Published: February 2024

Abstract
This study accurately assessed the overall ecological landscape condition of the city through the environmental landscape pattern index, and specifically explored the NP, LSI, and PD indices of construction land, cultivated land, forest land, grassland, water, and other land. Adopting advanced artificial intelligence and virtual reality technologies, this paper successfully constructs a 3D visualization scene of the urban landscape, which provides a vivid and intuitive perspective for urban planning. Further, based on the planning and design framework of urban landscape ecosystem, this paper clarifies the ecological evaluation elements and landscape design indexes, and uses VR technology to optimize the design of environmental aspects of urban streets. By establishing an optimization strategy database, this paper conducts an in-depth correlation analysis between the optimization scheme’s design indicators and evaluation factors. Comparing the comprehensive ecosystem service area before and after optimization, the results show that applying VR technology in ecological landscape design is highly effective. The integrated ecosystem service area before and after optimization increased from 7611.72m² to 8039.51m², of which the integrated ecosystem service area of “general” grade increased by 324.03m², showing the best effect of ecological optimization. The research in this paper provides scientific basis and technical support for ecological landscape design and new ideas and methods for future urban environmental planning and construction.
A Study on the System of Cultivating Core Literacy of Science Education Teacher Trainees Based on the Background of Deep Learning
Authors: Cao Yang , Gong Chunyan 
Published: February 2024

Abstract
This paper aims to develop the IDL-C system to cultivate the professional core literacy of science education teacher trainees through deep learning technology and science education theory. The authors constructed a model for assessing the effectiveness of core literacy development containing multiple algorithms to determine the system’s effectiveness. They conducted an empirical study using the example of Science Education College in S city. The values of teacher trainees in clustering as good and excellent are relatively close to each other, 0.4480 and 0.4246 respectively, and their cultivation effect is approaching from good to excellent, and the total score of the measurement = 0.685 × “Civic and Political Literacy” + 0.411 × “Foundation Literacy” + 0.091 × “Practical Literacy” + 0.111 × “Innovative Literacy”, which is most related to the cultivation of Civic and Political Literacy. The study not only enhances the core literacy of science education teacher trainees, but also promotes the modernization and reform of science education.
An innovative approach to corporate HR training based on deep learning
Authors: Chen Xiaoxu , Chen Hanyang , Xu Jinhua 
Published: February 2024

Abstract
This article constructs an enterprise human resource training system based on the DACUM method, aiming to solve the critical problems in enterprise training. The article improves the training effect by optimizing the training process, establishing an effective assessment mechanism, and perfecting the feedback and incentive mechanism. Aiming at the limitations of the DACUM method in training guidance, the article introduces a rough support vector machine to categorize the dimensions of competency factors. It constructs an employee effectiveness evaluation model by calculating the weights. Combined with data mining techniques, it provides decision support for managers. The results show that the optimized training system significantly improves employees’ innovative behavior, psychological capital and job performance, in which the regression coefficients of creative behavior and psychological capital are 0.593 and 0.404, respectively. The degree of explanation of job performance in the three dimensions of task, relationship, and dedication is 18.8%, 32.7%, and 30.9%, respectively, which verifies the effectiveness and practical value of the training system.
Exploration and Practice of the Integration and Development of Educational Technology and Teaching in Colleges and Universities in the Context of Educational Informatization
Authors: Luo Yuenian 
Published: February 2024

Abstract
In the context of education informatization, this paper discusses how to deeply integrate advanced educational technology with traditional teaching. By constructing a blended teaching model with the goal of deep learning and using linear regression, decision tree and other algorithms to build a data analysis framework, this paper aims to assess the practical application effect of educational technology in universities. The empirical study explores the development of deep blending between educational technology and teaching by taking the Information Technology Course of University J as an example. The results showed that after the teaching, the posttest mean of profound learning ability of students in the mixed, online, and offline groups were 1.948, 0.182 and 0.065 higher than the pretest mean, respectively. z-values ranked in the top three were the perseverance of students in the mixed group (-12.642) and the ability to think creatively (-11.682) and critically (-9.875), which were higher than those of students in the online group and the offline group, the overall profound learning ability of students in the mixed group was effectively improved, which verified the effectiveness of the blended teaching model proposed in this paper.
Internal Audit Evaluation and its Optimization in Universities under the Great Intelligence and Cloud Technology
Authors: Yan Zhenzheng 
Published: February 2024

Abstract
This study delves into the critical role of Dazhimian technology in enhancing the evaluation of internal audit in universities and its optimization process. Firstly, a balanced scorecard-based internal audit performance evaluation system for universities was constructed, which covers four dimensions, namely, functional performance, service object, internal management process, learning and growth, and is further refined into 25 evaluation indexes. Then, the entropy weight-TOPSIS evaluation model was used and combined with actual data for empirical analysis, thus effectively measuring internal audit performance. Specifically for the case study, College F as a research subject shows significant performance improvement. The functional performance weight is as high as 0.3574, significantly higher than other dimensions, reflecting its outstanding performance in improving internal audit performance. Comprehensively analyzing the horizontal and vertical comparisons, HEI F has been improving its internal audit performance and its relative closeness is leading in all dimensions. In addition, we find that the quality of internal auditing in HEIs has a significant positive impact on profitability, operational capability and sustainable Development, further confirming the importance of optimizing the internal audit system. This study provides an effective technical tool for evaluating internal audit and its optimization in universities and valuable references and lessons for other universities.