bluuebunny/crossref_metadata_2025_split huggingface dataset:
Information fusion technology helps promote the teaching practice of art design specialty in colleges and universities
Authors: Wang Xuemin 
Published: February 2024

Abstract
This study explores the application of information fusion technology in teaching art and design majors in colleges and universities, aiming to improve the teaching effect and students’ practical ability. The study adopts the flipped classroom teaching model and combines the multiple linear regression method to analyze the effectiveness of the teaching model. The model includes three stages: teaching preparation, teaching process and teaching reflection. The practice teaching system includes online and offline integration of on-campus practice, humanistic literacy practice, on-site participation practice and other multivariate systems. The study results showed that the students who adopted this teaching model scored 4.237, 4.388, and 4.186 (out of 5) in learning self-efficacy, learning adaptability, and learning engagement, respectively, indicating that the students were in the middle to upper level in these areas. The results of regression analysis showed that learning self-efficacy and learning adaptability had a significant positive effect on learning engagement. The conclusion indicates that the application of information fusion technology can significantly improve the learning self-efficacy, learning adaptability and learning engagement of art and design majors, thus improving the quality of teaching and students’ practical ability. This provides new perspectives and methods for teaching art design majors in colleges and universities.
Analysis of the effectiveness of the teaching reform of traditional Chinese medicine nursing courses in colleges and universities based on the CIPP evaluation model
Authors: Zhang Yujuan , Li Xiaojun , Zhang Haitao , Liu Hualing , Li Qiuxiang 
Published: February 2024

Abstract
In Chinese medicine nursing education in higher education, using the CIPP model to evaluate the teaching reform of the curriculum is the key to improving the quality of teaching. This study analyses the effectiveness of this reform to promote the further development of nursing education. The study used qualitative and quantitative methods to collect and analyse relevant teaching data by constructing an evaluation system. The study results showed that students’ practical ability improved significantly after the teaching reform, with the most significant Improvement in functional ability, self-learning and management ability, and teamwork ability. The student satisfaction survey results showed that overall satisfaction reached 4.65 points (out of 5). Meanwhile, the teaching ability of teachers was also significantly improved, in which the scores of informatisation teaching ability and innovative teaching ability reached 8.776 and 23.03 respectively. The teaching reform based on the CIPP model effectively enhanced the teaching quality of the TCM Nursing course, strengthened students’ practical skills, improved students’ satisfaction, and improved teachers’ teaching ability.
Research on the Impact of Teaching Content Reform of Children’s Literature Courses on the Quality of Children’s Psychological and Aesthetic Education under the Background of “Internet Plus”
Authors: Xu Ping 
Published: February 2024

Abstract
In the context of the “Internet Plus” era, the reform of children’s literature curriculum content is fundamental. This study explores the impact of such reform on the quality of children’s psychological aesthetic education, aiming to provide theoretical guidance for future educational practice. The research method uses quantitative and qualitative methods, constructs word lists and word lists for teaching children’s literature courses by analyzing the texts in language textbooks at the compulsory stage, and explores the data using multiple regression models. The results show that the reform of teaching children’s literature significantly improves students’ psycho-aesthetic qualities, among which the improvement of teaching methods has the most significant impact on psycho-aesthetic education, with a path coefficient of 0.2906 (P<0.0001). The teaching reform of children’s literature curriculum positively impacts the quality of children’s psychological aesthetic education, especially in the innovation of teaching methods.
Optimization Analysis of Kindergarten Educational Environment Creation Path in the Field of Informatization Perspective
Authors: Zhang Shuzhe 
Published: February 2024

Abstract
With the arrival of the informationization era, optimizing kindergarten education environment has become an important topic. This study aims to explore the optimal path of kindergarten education environment creation under the background of informationization, and to improve the quality and efficiency of education. A comprehensive evaluation method is used to establish an educational environment evaluation index system, combining the optimal and worst method and the minimal and great regret analysis method to evaluate 1044 kindergartens in City A. The results show that the educational environment of kindergartens in City A has been optimized since 2020. The results show that from 2020 to 2023, the kindergarten education environment has been improved in terms of infrastructure, information resources, informationization application, talent team building, and guarantee system. Especially in educational resources, it increased from 0.5384 in 2020 to 0.8964 in 2023.There is a significant difference between urban and rural kindergartens in creating educational environments, and urban kindergartens are significantly better than rural kindergartens in some indicators. The study’s conclusion shows that the application of informationization and the construction of human resources are the keys to improving the educational environment of kindergartens, and it is recommended to strengthen the supervision of academic quality, improve the evaluation system, and promote the integration of urban and rural education.
Research on Multiple Optimization of Engineering Management Models under the Concept of Environmental Protection
Authors: Lin Junhong 
Published: February 2024

Abstract
With the continuous development of social economy, engineering management technology is becoming increasingly mature, and multi-objective optimization technology is widely used in engineering management. Based on the traditional schedule, cost and quality model, the article introduces the environmental factor as the fourth optimization objective and constructs a comprehensive four-objective optimization model. The model starts from the concept of environmental protection, and proposes the modeling method of ecological indicators for deterministic and non-deterministic conditions. The article utilizes the multi-objective comprehensive optimization model to conduct an in-depth analysis of the engineering management condition of S project. After the engineering management optimization implementation, the optimization scheme showed that the planned duration was shortened to 324 days, which saved 12.9% of the construction time compared to the initial scheme and 1.81 million RMB in cost. In addition, the project achieved an average value of 0.9167 for quality reliability and a reduction in environmental impact to 296.48, which met the expected criteria in the S-engineering contract. The research in this paper not only provides a new type of multi-objective optimization method integrating the concept of environmental protection for project management, but also proves the effectiveness and practicability of this method in actual projects through example analysis.
Analysis of the Role and Effectiveness of Artificial Intelligence in Art Therapy
Authors: Sun Wei , Liu Yaxun , Teng Jian 
Published: February 2024

Abstract
This paper discusses the critical role of art therapy in solving various psychological problems, and introduces an innovative immersive and interactive art therapy mechanism based on artificial intelligence (AI), which combines machine learning and AI algorithms to realize embodied interactions between the learner, the machine, and the environment.The study analyzes the changes of students’ status before and after receiving art therapy in terms of various dimensions, including students’ social avoidance, general well-being, and self-emotions. Using regression modeling, the study validated the positive effects of art therapy on students’ mental health, cognitive abilities, and depression levels. It showed that art therapy had a statistically significant impact on improving students’ mental health, cognition, and reducing depressive symptoms at the 1% level of significance. Students who participated in art therapy had a 0.329 unit increase in mental health scores compared to non-participants, and this study provides a valuable reference and idea for the application of expressive art therapy in mental health education.
Exploring the Teaching Mode of English for Specialized Purposes (ESP) in Colleges and Universities under the PDCA Model
Authors: Li Yanmei 
Published: February 2024

Abstract
In this paper, ant colony algorithm and genetic algorithm are combined and applied to the teaching mode of English for Special Purposes (ESP) in colleges and universities, and the optimization of the teaching mode is realized through the PDCA model. The iteration speed of ant colony algorithm is better than that of genetic algorithm in the early stage. In comparison, the iteration speed of genetic algorithm is better in the later stage. By fusing these two algorithms, their respective advantages can be maximized. The study takes two computer science classes as an example, first conducts a needs analysis of the ESP course, and finds that the ratings in English foundation, learning materials, learning mode, and quiz mode are all higher than 5.5. By comparing the final exam scores of the experimental and control classes, it was found that the average score of the practical class was 3.5 points higher than that of the control class, which indicated that the ESP teaching of the PDCA cycle effectively improved the students’ academic performance. The average score of students’ recognition of the ESP teaching model of PDCA cycle was 4.252, while the ratings in satisfaction, participation in classroom interactions, and learning effect were all over 4.1. The analysis of learning motivation shows that “for better employment”, “for promotion”, and “to pass the exam” are the top three motivations for students to choose to learn English for computer science majors, with scores of 175, 174, and 170, respectively. This study effectively demonstrates the potential of combining ACO and Genetic Algorithm in education.
Emerging Technologies in Diversified Business English Teaching: A Language Learning Revolution Aided by Artificial Intelligence
Authors: Chen Shufen 
Published: February 2024

Abstract
In this paper, we propose an intelligent speech platform combining SincNet and ResNet network with attention mechanism to extract multiresolution features with Sinc convolutional layer and enhance the feature information by combining the channel attention mechanism. The multi-channel features are fed into the ResNet network to get higher-level feature information. Then multi-scale feature fusion is performed by null-space pyramid pooling, which improves the system’s performance. The intelligent voice platform is applied to actual business English teaching. The results show that the significance of the pre-test and posttest of the experimental class is 0.017, which is less than 0.05. The intelligent voice platform is positively contributing to the improvement of performance. Then the questionnaire was utilized to find out the students’ knowledge and ability, satisfaction and acceptance of this mode, 87.8% of the students thought that their business English level was rising, more than 89.69% of the students in the experimental class expressed their support for the course evaluation, and 91.64% of the students preferred this teaching method. Finally, the students were tested on creativity. The scores of the experimental class and the comparison class were 27.42 and 13.79 respectively, and the creativity scores of the practical class were much better than those of the comparison class. Through the teaching practice of intelligent speech platform, the students’ speaking, expression, independent learning, and problem solving abilities have been greatly improved.
The Two-Way Drive in Modern Informational Music Teaching and Traditional Music Culture Inheritance
Authors: Yao Haiyan 
Published: February 2024

Abstract
This article explores the application of digital information technology in music education, especially in teaching traditional music. Taking the intersection of conventional music culture and applied teaching practice, the article utilizes advanced algorithmic techniques - Support Vector Machines and Apriori Association Rule Algorithm - to construct an innovative model of emotional cognition and stylistic categorization of traditional music. This model integrates standard music emotion cognition and style classification into modern informationized music teaching. To verify the model’s effectiveness, the researchers selected 500 pieces of traditional Chinese music as samples, trained and tested using the constructed model, and compared it with other algorithmic models. The test results show that the model outperforms BP neural networks and Linear neural networks regarding emotion perception. Specifically, the model shows efficient performance with mean square error (MSE) and correlation coefficient (CC) averages of 0.0099 and 90.50% on the test set, respectively. In addition, the model has the shortest processing time and is lower than the IM-Apriori algorithm regarding space consumption, showing its efficiency and resource-saving advantages. The model’s accuracy ranges from 75.23% to 90.06% in classifying traditional music. In summary, the model proposed in this paper improves the accuracy and efficiency of emotional cognition and style classification of conventional music and provides essential technical support for effectively integrating traditional music into modern informative music teaching.
Discussion on Informatization Teaching Design and Practice of English Course for Higher Vocational Hotel Service Majors in the Internet Era
Authors: Guo Jinhua 
Published: February 2024

Abstract
This study explores the design and practice of informatization teaching in English for senior hospitality service majors, based on the ARCS model, and optimizes the teaching process through the Analysis of learning situation and the design of teaching practice sessions. The study adopts the classroom attention model (PA model) to analyze students’ behaviors with multivariate behavioral models and predicts students’ English scores based on the NB algorithm. The experimental results show that there is a significant difference between the reform class and the regular class in terms of the total scores of the basic English post-test, and the speaking, Listening and reading scores of the reform class are significantly higher, where the value of the full score significance (two-tailed) is 0.022. In addition, a cluster analysis of 400 students was conducted, and the correlation between students’ attention and their scores was explored. The Analysis of the teaching model showed that students were satisfied with the blended teaching, especially in “overall design and effectiveness” and “choosing the reformed teaching course again”.
Exploring the Digital Innovation Development Model of Intangible Cultural Heritage in China
Authors: Wang Jixin 
Published: February 2024

Abstract
Exploring the innovative development mode of digitalization of China’s intangible cultural heritage, the study focuses on applying and improving the traditional entropy value method in the digital evaluation of intangible cultural heritage, and is dedicated to enhancing the dissemination effect and public cognition of intangible cultural heritage. The study first standardizes the data, including the extreme value processing method, z-score standardization method, etc., and then applies the improved entropy value method for comprehensive evaluation. This paper’s improved entropy value method focuses on the Nature of the evaluation indexes, making the index data more genuinely reflect the relationship between the original values. The study results show that the index of understanding non-heritage culture through the Internet channel is 0.6, significantly higher than other channels. The user experience score of non-heritage culture after digitization increased from 2.48 to 4.43, indicating that digitization technology significantly improved the user experience of non-heritage culture. In addition, digitization technology enhanced NRM cultural heritage’s aesthetic, novelty and social communication. Digitization technology effectively enhances the communication effect and public perception of ICH.
Optimization of Innovative Paths of Physical Education Teaching in Primary and Secondary Schools under Information Integration Technology
Authors: Liu Juan 
Published: February 2024

Abstract
This article utilizes information fusion technology to provide a more diversified and hierarchical teaching process for physical education, making the content of physical education classroom richer and more vivid. The article firstly discusses the multi-source heterogeneous information fusion technology. It proposes a mass function that combines the output results of the cumulative layer of probabilistic neural network to construct the D-S evidence theory. The D-S evidence theory realizes the decision-level information fusion of the primary results of probabilistic neural networks. In the study, the TPACK knowledge framework was combined with the informationization platform to establish an intelligent classroom for physical education teaching applicable to primary and secondary schools, and a teaching experiment was designed for the selected research subjects. The experiment was conducted to analyze the data mainly from three dimensions: teachers’ and students’ behaviors in the smart classroom, teaching effectiveness and teaching evaluation. The results of data analysis showed that the average time of each learning node of students at the school was more than 50 seconds. At the same time, the coding coverage of teachers’ teaching behaviors was 41.85% lower than the mean value of coding coverage of students’ learning behaviors. In the experimental group, students’ jump rope scores improved by about 9.05% to 20.44% after one month of learning. These findings suggest that an intelligent classroom for physical education teaching relying on information fusion technology can effectively integrate multi-source data, thus providing strong support for improving the effectiveness of physical education teaching in primary and secondary schools.
Development and Innovation of Chinese Classical Dance Teaching Mode in the Background of Internet
Authors: Liu He 
Published: February 2024

Abstract
Since the development of Chinese classical dance, its dance technology and dance skills have been maturing for a long time, but the innovation and development of classical dance teaching mode needs to be improved. In this paper, OptiTrack is used to capture the dance movement data of classical dancers, transform the data into three-dimensional coordinates, and extract the features of classical dance data through direction normalization. The Hidden Markov Model obtains the time series information in the features and constructs the correlation model. Using the skeletal model data to get the center of mass of the human body, the convolution-gated recurrent unit network structure is used to improve the accuracy of the classical dance score generation results. Combining the above methods, a new teaching model framework for classical dance is proposed from three aspects and empirically analyzed. The empirical results show that the mean value of each dimension of classical dance teachers’ teaching ability ranges from 3.4562-4.3621, which is an excellent overall performance. In the comparison between students’ classical dance movements and standard movements, there existed higher scores than traditional movements in the two time periods within 20 minutes, which were 30 and 5 points higher than the conventional scores, respectively. The rest of the time was slightly lower than the regular movements, which shows that the innovation effect of classical dance teaching is better, and optimizes students’ classical dance movements to a certain extent.
Inheritance and Innovative Presentation of Sports Intangible Cultural Heritage Based on VR Technology
Authors: Zhang Feng 
Published: February 2024

Abstract
With the help of factor analysis and multiple choice linear regression, this paper innovatively establishes a quantitative model of user experience of sports non-heritage culture based on VR technology, and selects the sports non-heritage culture VR pavilion design in place M as the research sample. After constructing user experience evaluation indexes and collecting questionnaire data, the weights of each index are calculated and the experience of sports non-heritage culture VR pavilion design of different groups is analyzed. The results show that most users place more importance on the interaction level of the sports non-heritage culture VR pavilion design, in which the weights of aesthetic experience, emotional experience and immersion experience are higher, respectively 0.3217, 0.2348, 0.2108. Learners, artists and temporary visitors focus on the visual presentation, and the arts pay attention to the cultural communication level simultaneously. The researchers valued cultural experience more, and the weight of the group’s non-heritage content was the highest at 0.06522.This study promotes the inheritance of the intangible cultural heritage of sports by enhancing the visual presentation and interactive experience of sports non-heritage culture VR products and developing different VR designs according to the preferences of other groups.
Optimization of Higher Education Teaching Methodology System Based on Edge Intelligence
Authors: Guo Jingjing , Wei Xiaoxu 
Published: February 2024

Abstract
This study provides an in-depth research on the dynamic allocation of resources in higher education teaching and learning, especially in the application of edge intelligence architecture. In the study, the characteristics of edge intelligence and its application in smart mobile devices (SMDs) are first analyzed, highlighting the role of mobile edge computing (MEC) in reducing latency and improving the quality of user experience. Then, the study adopts a data acquisition method based on deep neural network (DNN) model to optimize the edge training model. The experimental results show that the efficiency of edge computing can be significantly improved by optimizing the allocation of computing resources and reducing the data transmission delay. Specifically, the total training delay and energy consumption of the edge server are reduced under different global iteration numbers in the experiment. In addition, the study also explores the integration of 5G networks and AR/VR technology in education. It proposes a teaching optimization model based on edge intelligence, improving interaction quality and learning efficiency in AR/VR safety education classrooms. The study shows that the teaching model performs well in reducing latency and increasing transmission rate, which is especially suitable for dual-teacher classroom scenarios and provides a new perspective for future higher education teaching.