bluuebunny/crossref_metadata_2025_split huggingface dataset:
The effect of implicit function optimization strategies on children’s psychological development in an intelligent system of home education
Authors: Wang Zhixian , Wang Jing 
Published: August 2024

Abstract
Family education is an important part of children’s education, which has a great influence on children’s character and mental health. The intelligent system of family education, which is oriented by home-school-society collaborative parenting, is analyzed for its importance and functional performance in children’s psychological education. A personalized hybrid recommendation model for children’s mental health education has been established based on the ConvMF model and combined with the WMF model. Based on the consideration of children’s implicit feedback learning data in the intelligent system of family education, the Set2setRank framework is proposed to mine children’s implicit feedback data, and an adaptive importance resampling strategy is designed to optimize their sampling data. The HR and NDCG of the proposed method on the LastFM dataset are 0.882 and 0.787, respectively, and the recommended performance P@10 index reaches a peak of 0.538 when the number of samples is 40. Based on the children’s mental health education book list obtained through the method of this paper, the students’ liking and perceived difficulty scores were 4.55 and 4.44, respectively. The establishment of a children’s implicit feedback optimization strategy in the family education system can enhance the accuracy of personalized recommendations for children’s mental health education resources and help children develop their mental health.
A Study on Improving the Efficiency of Cruise Ship Cabin Space Layout Based on Multivariate Statistical Analysis
Authors: Gong Jiping , Jiang Rui 
Published: August 2024

Abstract
In this paper, we use word frequency semantic analysis and sentiment analysis to analyze tourists’ review texts of four different brands of cruise ships and extract cruise design elements such as functional service parameters, schedule parameters, and affordable parameters from them. The evaluation factor set of the cruise ship spatial layout division scheme is constructed, and the correlation between the evaluation factors is analyzed through multivariate statistical analysis to establish a comprehensive evaluation method of the scheme in order to determine the optimal module division scheme. After analysis, it can be seen that functional services (service, catering, room, entertainment) are the most concerned elements for tourists, and older people and children are an important part of tourists. Residential functional areas should be concentrated on the 5th-11th floors. The overall module division scheme 3 (module division combination [1,2], [3], [4], [5,6,7,8,9], [10], [11], [12,13], [14]) of the passenger cabin has a correlation of 1 with the efficiency of the spatial layout, and the weight value reaches 0.283, which is the optimal scheme. The effective space utilization rate of cabin interior space layout design scheme 3 is 0.483. The method proposed in this paper, which enhances the efficiency of cabin space layout on cruise ships, has practical significance.
A Study on the Role of Knowledge Mapping Technology in Constructing a Knowledge System for Student Management and Promoting Innovation in and Political Education
Authors: Shuang Luoshuang , Hang Chu 
Published: August 2024

Abstract
Knowledge mapping, as an emerging information processing tool, is gradually becoming an indispensable part of education reform and plays an important role in education transformation. The study constructs a knowledge map based on student management + civic education according to the theory of student management and civic education, utilizing the Transformer model and BERT model, etc., and explores the effects of this knowledge map on student management and civic education after it is applied to colleges and universities, respectively. School A has 10 dimensions of teaching management, life management, academic management, social practice management, physical health management, and mental health management. The scores of 10 dimensions of digital management, facilities and resources, communication management, and satisfaction are all over 4.55, which is an excellent performance in student management. The correlation coefficients of the 10 dimensions of student management in School A are less than 0.01. Before the experiment, the levels of Civic and Political Literacy of the experimental group and the control group are similar, and there is no significant difference. After the experiment, the P-value of the dimensions of the Civic and Political literacy of the two groups of students is less than 0.05, and the Civic and Political literacy of the experimental group is significantly better than that of the control group. Knowledge mapping based on student management + Civic and political education has an obvious promotion effect on improving the level of student management and students’ Civic and political literacy.
Using Artificial Intelligence Technology to Improve Business English Language Teaching Effectiveness
Authors: Huang Yan 
Published: August 2024

Abstract
The wave of artificial intelligence and digital technology advances educational intelligence and has a profound impact on English teaching. Taking business English students in a university as an example, the study combines structural equation modeling to explore the main factors affecting students’ behavioral intention to use artificial intelligence technology to assist business English learning. Based on this basis, it analyzes the current situation of business English teaching mode and proposes a business English teaching mode based on artificial intelligence technology. Teaching experiments were conducted in two parallel classes of business English majors in a university, and questionnaires were designed to measure and compare the students’ business English proficiency levels to further verify the effectiveness of the proposed business English teaching model with artificial intelligence. The results show that the factors directly influencing students’ behavioral intention to use AI technology-assisted learning are performance expectation, effort expectation, facilitation, and attitude (p < 0.05). The business English proficiency of the students who practiced the AI teaching model improved by 4.39% and 5.47% compared with the students in the pre-experimental and traditional models. Specifically, there was a significant difference in language comprehension, language evaluation, and language use. This paper’s research results validate the enhancement impact of artificial intelligence technology on business English language teaching and enhance the theoretical research on business English language teaching.
Integration of traditional structures and modern green building materials of residential buildings in Guangdong region
Authors: Li Fengyan , Lu Qi 
Published: August 2024

Abstract
In recent years, the concept of environmental protection has taken root in people’s hearts. The construction industry is actively involved in environmental transformation, developing and adopting green building materials and combining them with traditional residential buildings to create more livable residential spaces. Modern green building materials are used in the study to design traditional residential buildings in Guangdong, and the BIM platform is used to design the building structure. The dynamic response analysis model of the building structure is constructed through the structural layer model, and the dynamic analysis of the planar structure is used to investigate the structure of the designed Guangdong traditional residential building and analyze the performance of green building materials. The cooling coatings CWC-S1 and CWCS2 used in traditional residential buildings designed in Guangdong in this paper meet or even far exceed the relevant cooling standards with excellent performance. Glass substrate insulation coatings are capable of effectively insulating 36.3% of visible light and 78.9% of near-infrared light, resulting in a cooling effect. In the seismic response experiment, the Guangdong traditional residential building structure can achieve the seismic effect of “not broken by a small earthquake” and “not collapsed by a big earthquake”, and the safety is high.
Innovation of English Translation Teaching Mode in Virtual Reality Environment
Authors: Li Feng , Chen Xiang 
Published: August 2024

Abstract
English translation teaching is often neglected to create a real situation and leads to the teaching failing to highlight the student’s main position. With the help of VR technology to carry out English translation, teaching can effectively solve the above problems. In this paper, on the basis of analyzing the effective application of VR technology, we have established an English translation immersion teaching mode and set up an immersive English translation teaching environment. Based on the students’ learning data of the virtual platform, the DKVMN model is used to assess the student’s knowledge mastery, and the DTW-FCM algorithm analyzes the students’ online learning behaviors to construct a learner portrait. Based on learner profiles, knowledge graphs are combined to obtain the learning degree of learners so as to achieve personalized learning path recommendations for English translation courses. The list of English translation teaching content exercises generated using the DKVMN model is 0.884 in accuracy, and the mean value of the personalized learning paths generated by this paper’s method is 27.04 in terms of the translation of the personalized learning paths to the real paths, which is 28.35% lower than that of the PageRank algorithm. Group A scored 42.41 points after the teaching experiment, which is 25.51% higher than that of class B. Class A’s students have a higher average value for the immersive teaching environment, with an overall satisfaction mean of 4.6 points. Using VR technology to create an immersive learning environment can help students improve their English translation and expression skills, as well as their English intercultural communication skills.
A Model Study on the Exploration and Practice of Digitally Empowered Big Ideology and Politics Courses in the Context of Smart Education
Authors: Li Huansheng 
Published: August 2024

Abstract
Based on the portrait model, this study collects learner data and outputs the overall portrait and class portrait in this study after K-means clustering analysis. Six-month practice data of precision Civics teaching in a university were collected, from which comparative experiments were carried out to analyze the data of pre-test and post-test of teaching to explore whether precision teaching can significantly improve the learner portrait and the overall learning results. The distribution of questionnaire results and learner satisfaction questionnaires was done to understand the evaluations of lecturers and students on the implementation effect of precision teaching. The results showed that the style tendency of students in a university’s Big Ideology course was visual (72.9% of the total). The optimal cluster analysis for K=4 resulted in the division of student portraits into 4 clusters. Compared to pre-teaching, the students’ performance in Civics and Politics was significantly improved after the teaching, and the potential and hard-working learners made the most progress. And the post-teaching scores were centrally distributed in the range of 40-100 points. More than 70% of students believe that accurate teaching can meet their learning requirements. This paper’s experimental results confirm the effectiveness of precision teaching based on learner profiling.
Research on the Implementation Effect of Personalized Education Management and Cultivation of Top Talents under the Framework of Multiple Intelligences Theory
Authors: Pan Xiaohong , Ge Haijiang , Huang Rui 
Published: August 2024

Abstract
To improve the quality of education in higher vocational colleges and universities, it is necessary to reform and innovate their education management mode, and education can truly promote social development only by promoting the harmonious development of personality. This paper constructs a personalized education management and top talent cultivation model based on the framework of multiple intelligences theory and establishes an evaluation index system to assess its implementation effect. The hierarchical analysis method is used to determine the weights of the indicators, and then the implementation effect of the management and cultivation model is assessed through the multilevel gray comprehensive evaluation method. The evaluation of the implementation effect of the higher vocational colleges and universities found that the average score of the implementation effect evaluation of the four higher vocational colleges and universities is between 3.94 and 4.59 points, which is at a high level, indicating that the implementation effect of personalized education management and top talent cultivation model is better. It is also found that students in higher vocational colleges and universities are more satisfied with the teaching method, management method, curriculum, and cultivation objectives. The model improvement suggestions put forward in this paper from the perspective of students provide valuable references for educational administrators and teachers of higher vocational colleges and universities so that students in higher vocational colleges and universities can achieve the desired effect of cultivating top-notch talents.
Innovative Strategies for Language Education in the Context of Media Convergence - From Traditional to Digital Media
Authors: Yang Yang 
Published: August 2024

Abstract
Based on the special nature of language subjects, if the teaching methods adopted by teachers in the language classroom are not appropriate, it is easy to make the classroom atmosphere boring and depressing, which is not conducive to mobilizing students’ learning initiative. The use of digital media technology is more likely to increase students’ enthusiasm for learning and enhance the teaching impact. To address language education’s shortcomings, this paper utilizes digital media technology to enhance language education through media integration. In order to evaluate the teaching effect of integrating digital media in language teaching, this paper combines the Apriori algorithm and C4.5 algorithm to analyze the knowledge and information about the teaching law and teaching situation from a large number of teaching evaluation results, which is used to judge the effect of the application of digital media in language teaching, after comparing the combination algorithm with the traditional rule-mining algorithm. The Apriori algorithm is applied to secondary school language teaching, incorporating digital media for correlation analysis, and the pre-processed dataset is mined and the quality of language teaching in digital media has a great relationship with the quality of teaching and the content of teaching. In this paper, based on the Apriori-C4.5 mining algorithm, we can analyze the factors associated with teaching effectiveness and propose strategies for digital media application in language education innovation.
Intelligent physical education: an exploration of virtual reality applications in college martial arts courses
Authors: Zhang Shuangjian 
Published: August 2024

Abstract
Aiming at the existing sports and martial arts teaching system without VR simulation modeling, which leads to poor mastery of the training content of the trainees and high time delay of the system, we design the sports and martial arts teaching system based on VR virtual technology. Through VR technology to build a virtual training environment, realize the modeling of the three-dimensional scene of the VR system. First of all, design the system motion capture function module, according to the module to obtain the data of the students’ sports and martial arts action teaching, use the data to correct their errors in a timely manner, and complete the action estimation through the human body posture recognition technology to extract the key points in the course of the students’ three-dimensional coordinate information, to obtain the joint angle of the joints of the martial arts action joints trajectory and other multi-dimensional spatial and temporal data. Then, the recognized martial arts movements are compared and analyzed with the reference movements from the standard movement library. Finally, a multi-view collaborative layout is constructed to build a wushu action data visualization interface based on a multi-view layout, which intuitively displays the quantitative information of wushu actions and provides support for users to explore the information of wushu actions. At the first training, system 1 in this paper masters 10% more training contents than training system 2 based on pressure sensor technology and 17% more training contents than training system 3 based on mechanical vision technology. The time delay of System 1 is lower than that of System 2 and System 3 at every point during the gradual increase in the number of students. The test of student training content mastery and the system time delay test demonstrated that the system has strong practical performance.
Adjustment and optimization of the competence structure of accountants in digital transformation
Authors: Min Rui 
Published: August 2024

Abstract
The digitization and refinement of accounting are propelling accounting work towards intelligence, leading to a further restructuring of accountants’ professional competence. Based on the existing competency structure framework for accountants, this paper proposes an optimized “main-core” competency structure for accountants, taking into account the new requirements for accountants’ competency in digital transformation. Based on the optimized accounting personnel competency structure, an evaluation index system is designed and combined with the entropy weight-TOPSIS method to analyze changes in accounting personnel competency. To examine the factors that affect accounting personnel’s competence, a static panel regression model was designed based on the multiple linear regression model and combined with the competence structure. The accounting personnel ability structure is the most weighted at 0.2614 in the financial and accounting management ability index, and the information technology application ability rose from 0.346 to 0.486 between 2017 and 2023, adding up to 40.46%. Each 1% increase in accounting personnel’s professional knowledge increases their competence by 0.614%, and behavioral motivation and professional ethics have a positive effect on their competence at the 1% level. As a result, accountants’ ability structure must focus on the application of digital technology, consolidating their professional knowledge, and promoting high-quality accounting work development.
A Practical Study of Traditional Sports in Physical Education Teaching in the Context of the Internet
Authors: Rong Cheng 
Published: August 2024

Abstract
Teaching environment, teaching equipment, and some other problems limit the vigorous development of traditional sports in college physical education teaching, which, to a certain extent, has an extremely unfavorable impact on the preservation and development of traditional sports. This paper analyzes the combined weights of traditional sports in different dimensions, calculates the coefficient of variation and expert authority coefficient of the indexes, establishes the important coefficients for constructing the integration of traditional sports into modern physical education teaching, and realizes the effective combination of traditional sports and physical education teaching. The results show that this paper constructs a 3-dimensional curriculum content index system, which includes 3 first-level indexes, 10 second-level indexes, and 26 third-level indexes. The weights of the three first-level indicators of motor ability, physical integrity, and health behavior were calculated to be 0.3232, 0.3279, and 0.3488, respectively. The scoring results of the first- and second-level evaluation indicators were between 81.303 and 82.009, 81.388 and 82.196, respectively, and all of them were rated as good grades. It is clear that sports character, as one of the first-level indicators among the three dimensions of sports teaching, is a key starting point for integrating traditional sports into modern sports teaching. The results of the study help to better promote the sustainable and healthy development of traditional sports in colleges and universities and provide scientific references for the smooth implementation of traditional sports in physical education teaching.
Construction and Talent Cultivation of Tourism Specialty Groups under the Perspective of Shared Prosperity
Authors: Shi Meishan 
Published: August 2024

Abstract
This paper defines the evaluation indexes from the aspects of evaluation purpose and standards and, through the hierarchical analysis method of empowerment, completes the construction of the evaluation system of the construction of tourism characteristic professional group, including three first-level indexes, 11 second-level indexes, and 30 third-level indexes. The policy implementation group and the control group were subjected to double-difference regression from the spatial and temporal perspectives, and the economic growth effect of the construction policy of the tourism specialty group was analyzed and verified by combining it with the heterogeneity test. The results show that City Z has realized the original intention of the construction and improved the quality of talent cultivation in the specialty cluster. The weight of the construction capacity of tourism-related specialty groups is the largest at 0.529, which is the core of the construction, followed by the construction effectiveness of tourism-related specialty groups (0.299). In lngdp, the economic effect of tourism characteristic specialty group construction policy in the fourth period after implementation (6.725) is significantly higher than that in the fourth period before implementation (1.0716), and in lnpgdp, it is 1.634 higher after the policy is implemented compared with that before implementation. The economic impact in economically relatively backward areas is significant at the 1% confidence level.
Theoretical Followings and Practical Strategies of Physical Education Evaluation in China’s Schools in the Context of Deep Learning
Authors: Wang Di , Zhang Aying 
Published: August 2024

Abstract
In this paper, we first studied the basic content of deep learning in college sports and explored the principles of physical education evaluation in colleges and universities in the context of deep learning. Then, the framework of the physical education evaluation index system is constructed, the indexes are screened and optimized by combining the Delphi method, and the weights of the indexes are calculated by using the fuzzy comprehensive evaluation method. Then, based on the expectation and satisfaction data of students in the sample colleges and universities, the gap is analyzed according to the perception-expectation matrix, and the SERVQUAL model is used to analyze each issue of the quality of physical education in colleges and universities one by one. The maximum value of the expectation of the quality of physical education in colleges and universities is 6.558 points, the minimum value is 6.348 points, the maximum value of the mean value of perception is 6.349 points, the minimum value is 5.797 points, and the scores are above 5 points, which makes the quality of education in colleges and universities better. This study further enriches the theory of quality evaluation of education in sports colleges and establishes the evaluation model and method with specific specifications.