bluuebunny/crossref_metadata_2025_split huggingface dataset:
A statistical study on the similarities and differences of sports interests among college students
Authors: Zhang Xinbao 
Published: April 2024

Abstract
This study focuses on the status quo of group exercise interest differences and similarities among college students, and proposes the interest scalar law of group exercise for the group exercise data of college students, which measures the frequency of group exercise based on the parameter and activity. Based on the interest degree indexes of exercise duration and time, the interest degree model of group exercise is constructed to explore the laws of group exercise behavior. An association rule mining algorithm based on genetic algorithms and interest degrees is proposed, and an improved fitness function is proposed to optimize the algorithm. Taking China’s province S as an example, the statistics on group sports interests of college students show that the central tendency among group sports interests is ball group sports. Among the influencing factors of interest dissimilarity, the gender influencing factor significantly differs in the dimensions of psychological state and peer influence (p<0.05). There were significant differences (p<0.05) and highly significant differences (p<0.01) in the p-values of the place of origin influence factor in the course offerings and psychological state dimensions, respectively. The group sport type influence factor, on the other hand, showed significant differences (p<0.01) in all four sizes, including psychological state and family status.
A Legal and Ethical Review of Artificial Intelligence Technology in Public Safety Management
Authors: Ning Wanyu 
Published: April 2024

Abstract
The imperative to meticulously assess and manage the legal and ethical risks associated with artificial intelligence (AI) in public safety management is increasingly recognized. This study employs the Apriori algorithm to identify frequent itemsets in public safety risk management, further refining these findings using the FP-growth algorithm’s Gini coefficient to pinpoint optimal features representing legal-ethical risk factors. Cloud modeling techniques are also applied to examine the nuances of AI’s legal ethics. Our analysis reveals a significant growth in AI patent applications within the public safety sector, showing an increase in the relative growth rate from 1.1679 to 1.4810 over eight years, equating to an 88.66% rise. Based on highest membership values in the risk prevention and control system, risk categorization identified social ethics risk and public security threat risk with indices of 0.461, 0.721, and 0.499, respectively, classifying them into class II and III risks. This investigation into AI’s legal ethics forms a critical foundation for developing a risk regulation framework and offers strategic recommendations for legal reform, ensuring AI’s positive trajectory in public safety.
Analysis of Integration Path in English Education and Teaching in Colleges and Universities under the Background of Informatization
Authors: Lu Xiao 
Published: April 2024

Abstract
For colleges and universities, it is imperative to actively respond to the current new teaching mode and to put information technology into English teaching in the new situation. This paper improves the random forest algorithm by using the sparrow search algorithm to calculate the Gini index score of each evaluation index feature. By addressing the impurities of nodes in the tree, the importance of each index in the forest can be ranked. Further, the improved random forest algorithm is combined with convolutional neural network to construct the obtained English teaching evaluation method to explore the practical effect of the informationized English teaching integration path established in this paper in teaching. The results show that the average scores of the five colleges and universities’ average scores of “technology-enabled teaching” and “awareness and attitude” indicators are high, respectively 4.27 and 4.16. In contrast, the scores of “social support” indicators are low. The average score for “social support” is low, only 3.24. After the teaching practice, the number of “excellent” scores in teaching expansion increased by 15. This paper’s integration path for informationized English teaching has precise results, a certain degree of universality, and serves as a reference for future exploration of the path.
Exploration of Smart Elderly Service Supply and Demand Matching for Multi-source Data
Authors: Fang Miaoying 
Published: April 2024

Abstract
Under the background of population aging, the rational use of resources for senior care services has more difficulty, leading to increasingly prominent conflicts between supply and demand. This paper uses the Gini coefficient, cohort effect, and other methods to build a matching supply and demand model for innovative senior care services based on the multi-source data of senior care services. The probabilistic linguistic term set is used for evaluation and a calculation method is proposed to match satisfaction. The model’s feasibility is demonstrated by analyzing arithmetic examples. Five types of senior care demand groups can be obtained through clustering analysis, with three kinds of intelligent senior care, namely, competent institutions, smart communities, and smart homes, in which the Gini coefficient value of community senior care facilities in X city is 0.4203, and there is an imbalance between supply and demand. The method proposed in this paper identifies five types of elderly groups, which can be matched with different innovative senior care services for elderly groups with distinct characteristics.
Practical Exploration of Cultural Self-consciousness Enhancement of Civic Education for College Students in the Context of Deep Learning
Authors: Zhao Ronghua , Xu Jianjun , Liu Biao , Zhu Shengchu , Li Yanli , Deng Jingjing 
Published: April 2024

Abstract
Cultural self-awareness reflects a nation’s recognition of its own culture and other related values, which relies on a deep cultural foundation and is of great significance to national unity. This paper firstly analyzes the content and characteristics of cultural self-awareness, discusses the promotion role of college civic education on the cultivation and enhancement of college students’ cultural self-awareness, introduces the four-layer, four-ring model of educating people to innovate the form of civic education teaching and establishes a system of indicators for evaluating the effect of cultural self-awareness in civic education on the cultivation of people. Secondly, the subjective and objective weights of the evaluation indexes were solved by the AHP method and CRITIC method, respectively. The subjective and objective weights were combined by linear weighting method. Then, a fuzzy comprehensive evaluation model was established to comprehensively evaluate the effect of culturally conscious parenting in Civic and Political Education. Finally, five colleges and universities in a province were used as examples, and the research data was obtained through questionnaires and expert assignments to analyze the effect of culturally conscious parenting in each college and university. The results of the study show that in the effect of culturally conscious parenting on college students’ civic education, the weight of strengthening the innovation of cultural teaching content reaches 0.0726, while the weight value of promoting network culture innovation is only 0.0463, and the comprehensive evaluation score for the effect of cultural conscious parenting of civic education in college A is 9.884 points. The effect of cultural self-awareness in college students’ Civic and Political Education needs to rely on excellent culture, adopt richer teaching contents and forms, and encourage college students to internalize cultural knowledge and promote their cultural self-awareness.
Establishment and Application of Evaluation System for Objective Management of Music and Aesthetic Education Teaching in Colleges and Universities
Authors: Chen Zhihong 
Published: April 2024

Abstract
Addressing current challenges in music aesthetic education at colleges and universities, this study introduces an evaluation system rooted in hierarchical analysis to advance goal management in teaching. Expert consensus guided the selection and weighting of evaluation indices across a province’s higher education landscape. Implementing this system through information technology and data analysis software, our research analyzed teaching examples to gauge effectiveness. Results demonstrated improved teaching quality, with experimental and control groups showing average score increases of 1.24 and 1.03 points, respectively. This underscores the system’s potential to elevate the management and organization of music aesthetic education, contributing valuable insights to its evaluation theory and enhancing educational quality in Chinese colleges and universities.
Informatization Teaching Mode of Intellectual Property Law Course Based on Clustering Algorithm
Authors: Cui Jinghan , Yuan Hao 
Published: April 2024

Abstract
The traditional intellectual property law course cannot adapt to the needs of cultivating students’ active learning ability, practical ability and innovation ability in the digital era due to the teaching concept, teaching means, teaching method and assessment form. This study proposes an information-based teaching model, which builds a course knowledge organization model using a formal expression language, through atomized knowledge points and knowledge granularity. The k-means algorithm has been improved from the perspective of center selection and constraint rules to adapt to the characteristics of the intellectual property law course and complete the clustering and extraction of knowledge points. The frequent item-based method analyzes the students’ answers and generates the corresponding association rules to further develop the analysis of learning situations. For a college law school study, it was found that 925 simultaneous wrong answers and 8152 simultaneous correct answers were successfully mined using clustering. In applying this college students’ evaluation scores of this information technology teaching in terms of content design, presentation design, structural design and relationship design of knowledge clustering are 0.796, 0.818, 0.788, 0.794, and overall good results are achieved.
A study on the correlation between physical education courses and students’ health status in colleges and universities based on big data analysis
Authors: Fu Jiaqing 
Published: April 2024

Abstract
Physical education in colleges and universities is of great significance to the development of the whole education chain, to realize the goal of physical education courses in colleges and universities and to promote the physical and mental health development of students, this paper takes the physical education courses and students in Z college and university as the object of research, and proposes a correlation model of the physical education courses in colleges and universities and students’ health status by combining the fuzzy comprehensive evaluation and the Apriori correlation rule algorithm. The weights were calculated after constructing the physical education course quality index system. The quality of physical education courses in college Z was comprehensively evaluated. It was concluded that teaching explanation and demonstration (0.137), venue equipment (0.133) and physical education class schedule (0.113) had the most significant influence on the quality of physical education courses. The quality of physical education courses in the selected colleges and universities was good, scoring 88.93 points. When the quality of physical education courses is excellent and sound, the confidence level of students’ health status corresponding to excellent and sound is greater than 80%, indicating that physical education courses strongly correlate with students’ health. Among the various indicators of courses analyzed using big data, teaching explanation and demonstration, venue equipment, and students’ health status have stronger correlations.
Constructing and Analyzing the Levels of Emotional Intelligence Factors of International Chinese Language Teachers: An Analysis of SPSS Data Based on a Sample of 200 Teachers
Authors: Li Xinbei , Zhang Yanhua 
Published: April 2024

Abstract
An important research topic is how teachers explore emotional intelligence in international Chinese language teaching and utilize emotional factors to cultivate students’ motivation to learn. Based on the theoretical model of emotional intelligence, this paper constructs a system of emotional intelligence factors for international Chinese teachers by combining cross-cultural communication theory. In terms of obtaining the relevant factors affecting teachers’ emotional intelligence, this paper introduces structural equation modeling to measure the pertinent aspects. It constructs the PLSSEM emotional intelligence model by estimating the model’s parameters through partial least squares. In terms of analyzing the level of emotional intelligence of international Chinese teachers, this paper chooses a total of 200 international Chinese teachers from various Chinese universities as the research sample. It uses SPSS software to analyze the data in terms of the parameter estimation of the emotional intelligence model, the test evaluation, and the differences in the level of emotional intelligence in multiple dimensions. The results show that the path coefficients of each latent variable of the PLS-SEM emotional intelligence model exceeded 0.3, and the value-added fitness index of the model exceeded 0.95. The emotional intelligence level scores of the 200 teachers averaged 4.557, and there were significant differences in their gender, teaching age, and education level within the 1% range. The emotional intelligence factor system of international Chinese teachers can clarify the specific reasons affecting their development. It can help teachers better develop emotional intelligence and help improve the quality of international Chinese education and teaching.
Exploring the Current Situation and Innovative Development of Music Teaching in Colleges and Universities under the Background of Information Technology
Authors: Qian Hong 
Published: April 2024

Abstract
The significance of emotion in college music education is becoming increasingly acknowledged. This paper delves into the nexus between music teaching and emotional engagement, advocating for a stronger emphasis on emotional connection within the curriculum. By selectively extracting middle and high-level music features, we aim to intensify the emotional resonance of music pieces. Utilizing the KGIFE model, we gather and analyze students’ emotional responses to music, enabling targeted feedback. Our findings suggest four innovative pathways for evolving music education in higher learning institutions. Comparative analysis reveals that music majors exhibit markedly higher levels of emotion recognition and musical emotion experience than their non-music counterparts, with noticeable differences of 0.1512 and 0.2654 respectively. Furthermore, the study highlights significant improvements in music teaching effectiveness, particularly in run-on training and dialect processing, evidenced by average scores of 3.565 and 3.346. These outcomes underscore the potential of information technology to enhance the delivery and impact of music education in colleges and universities.
Analysis of Social Media Behavior of Students in Colleges and Universities and Its Indicative Implications for Mental Health
Authors: Zhang Yingying , Feng Danfeng 
Published: April 2024

Abstract
The rise of social media has spotlighted the online behaviors of its users, particularly among college students in China, a key demographic. This study surveyed 1,418 undergraduates from five universities in S city, employing correlation analysis to explore the relationship between social media usage and mental health. A predictive model was developed to quantify the associations within social networks. Our study, including independent sample tests, reveals a positive correlation between social media dependency and ten mental health indicators, with a maximum correlation strength of 0.4919. The findings underscore the importance of fostering critical engagement with social media and developing strategies to mitigate its addictive aspects among college students.
The Path of “Dual-Teacher” Teacher Cultivation in Applied Local Higher Teacher Colleges under the Background of Big Data
Authors: Zhang Qiuyue , Yu Qiyao 
Published: April 2024

Abstract
The cultivation path of the applied “dual-teacher” teacher team in this paper mainly relies on the qualification standard and evaluation system. Big data technology is used to collect data, deeply mine fragmented data, and further extract index factors that affect the quality of teachers. The multi-level fuzzy hierarchical evaluation model realizes the quantification of the decision-making process with less quantitative information, and determines the weights through the multi-level comparison of importance, to test and evaluate the teaching ability of “dual-teacher” teachers. The results show that, among the 166 survey respondents, 77 respondents belong to the “ Dual-teacher” teachers, accounting for about 45.03%. The primary needs and ways for most of the teachers to participate in the training of “dual-teacher” teachers are to improve the practical ability of industry and enterprise positions (score 0.86) and the school-based training of dual-teacher teachers (0.93), which is centralized in the college. In evaluating “dual-teacher” teaching, the weight of industry-teaching integration is 0.3378, so the ability of industry-teaching integration is a more meaningful indicator. College students are satisfied with “dual-teacher teaching”, and the score shows that the essential satisfaction is more than half of the total number of samples, which is 343.
Pedagogical Integration of Core Literacy in College Physical Education and Health Courses Based on Data Mining Techniques
Authors: Liu Haitao 
Published: April 2024

Abstract
At universities and colleges today, physical education is overly regimented and ignores students’ basic health literacy. This study aims to investigate this phenomenon by examining the state of physical education instruction in colleges and universities nowadays using data mining techniques. In order to retrieve information on the essential literacies of health and physical education courses at colleges and universities, the study first builds a data mining framework using data clustering analysis, association rule extraction, and decision tree algorithms. The teaching-coordination-level model of the core literacies of physical education and health courses is established utilizing the entropy power approach, and the development history of physical education is examined. To determine the best teaching technique for integrating the core literacies of physical education and health courses, an experiment was conducted using College A as an example. The findings indicate that following the trial, students in the experimental class had substantial improvements in their physical and health literacy scores, with the exception of physical fitness (P>0.05). In the previous 10 years, the mean value of the coupling coordination was between 0.6683. The integration of the essential literacies of physical education and health courses accounted for more than 90% of the total credit hours earned in the best colleges and universities. In addition to enhancing physical education abilities, the integration of health and physical education curricula with core literacy in colleges and universities supports the general development of students’ health literacy.
Innovative Practice of Multimodal Teaching Mode in English Education and Teaching Practice in Colleges and Universities in the New Media Era
Authors: Peng Peilan , Gao Xianyi , Wang Juan 
Published: April 2024

Abstract
Traditional English teaching methods are increasingly seen as outdated, failing to adequately develop students’ language abilities. This study introduces a multimodal teaching approach, evaluated through the innovative use of the sailfish optimization algorithm to gauge student attitudes towards this educational innovation. Additionally, the study leverages a genetically optimized CARMA algorithm to analyze academic achievement data, identifying optimal strategies for enhancing learning outcomes. Results indicate a significant improvement in students’ oral English skills, with approximately 70% reporting progress and 86 students endorsing the multimodal approach. Post-implementation test scores across five classes showed an impressive range of 85-97, with Classes A and B demonstrating significant score improvements (p-values of 0.021 and 0.014, respectively). The successful application of this novel teaching method in collegiate settings underscores its potential for broader adoption and highlights its relevance for modernizing educational practices across various subjects.
Informatization Exploration of Innovation and Entrepreneurship Education Mode in Vocational Colleges under the View of Industry-Teaching Integration
Authors: Rong Chao 
Published: April 2024

Abstract
Innovation and entrepreneurship are essential for higher vocational students to escape low-end employment and are vital for vocational education to provide diverse products and services, fulfilling the people’s demand for a better life. This study builds on the theory of innovation and entrepreneurship education, integrating information technology to devise the “Four-Drive-One-Guide” model for vocational colleges. Utilizing Province A as a case study, a survey was conducted to gather data on the effectiveness of this education model, analyzed using ANOVA, Pearson’s correlation coefficient, and multiple linear regression. Furthermore, the operational efficiency of innovation and entrepreneurship education across 30 Chinese regions was assessed using the CCR model within the DEA framework. Findings reveal that the “Four-Drive-One-Guide” model significantly boosts students’ innovative and entrepreneurial capabilities, with an average rating of 4.06. The most influential factor in its effectiveness is students’ attitudes, with a coefficient of 0.238. Moreover, vocational colleges in the eastern region exhibit the highest comprehensive efficiency at 0.875. The study suggests that integrating industry teaching and optimizing the curriculum can further enhance students’ innovative and entrepreneurial thinking.
Research on the Concept and Development of Contemporary Animation Design Based on Big Data Technology
Authors: Tang Linye 
Published: April 2024

Abstract
The evolution of information technology has transformed the design principles of traditional Animation, steering it towards three-dimensional innovation. This study explores the application of 3D animation design within virtual reality (VR) environments, leveraging numerical differential algorithms to calculate pixel coordinates. These coordinates form the basis of line segment differential equations, culminating in the visualization of image elements. These elements are rendered in three dimensions by employing VR technology, creating immersive virtual scenes. The design process, guided by the principle of perspective difference, demonstrates a notable improvement in visual effects compared to conventional methods, receiving an average evaluation score above 6. This advancement not only enhances the aesthetic appeal of Animation but also addresses the limitations of traditional design techniques, offering significant practical benefits.