bluuebunny/crossref_metadata_2025 huggingface dataset:
Innovative Research on Cultivation Mechanism and Introduction Mechanism of Top Talents in Colleges and Universities under the Background of Big Data
Authors: Qian Jibing
Published: February 2024

In the context of fierce competition for talents in colleges and universities, cultivating and introducing outstanding young talents are crucial to the construction and sustainable development of talents in colleges and universities. The article utilizes the IPO model to construct an evaluation system for the quality of cultivation of top talents and the implementation effect of talent introduction policy in colleges and universities. The study takes eight colleges and universities in the university city of Province P as examples, uses the EWM method to determine the weights of the indicators, and carries out a comprehensive evaluation through the improved TOPSIS method and the Data Envelopment Analysis Model (DEA). The results show that in talent cultivation, the weight of the result quality is 18.09% higher than the essential quality. In contrast, in implementing the talent introduction policy, the maximum difference of each weight value is only 1.24%.The effective decision-making unit of the DEA reaches the optimal value of 1.00 in the comprehensive technical efficiency, pure technical efficiency and scale efficiency. The study reveals the shortcomings of implementing talent cultivation and introduction policy in universities. It guides the universities to improve the mechanism of cultivation and introduction of top talents, to enhance the core competitiveness.
Novel technology for industrial VOCs exhaust treatment under dual-carbon target based on multivariate statistical analysis
Authors: Chen Yong , Xie Guangyuan
Published: February 2024

Against the background of the dual-carbon target, the treatment of volatile organic compounds (VOCs) emissions in the industrial sector, especially in the chemical industry, has become an urgent environmental issue. To provide scientific and objective guidance for technology selection, this study constructs a comprehensive evaluation model based on the combination of entropy weighting method and hierarchical analysis method for the complete progress of VOCs treatment technologies, taking into account the four main factors of environment, economy, management and technology and the thirteen secondary factors under them. The model provides in-depth quantitative analysis and evaluation of ten common VOCs end-of-pipe treatment technologies. The evaluation results show that thermal combustion, catalytic combustion, adsorption-concentration-combustion, and photocatalysis exhibit high comprehensive efficacy in VOCs emission treatment, with relative weight values of 0.1273, 0.1252, 0.1214, and 0.1184, respectively. These findings provide essential references and guidance for chemical companies in selecting suitable VOCs treatment technologies, which help to realize the win-win situation of environmental protection and economic development. This study fills the gap in evaluating VOCs emission management technologies and provides a practical decision-making tool for relevant decision makers.
Research on personalized recommendation of teaching resources based on joint probability matrix decomposition model and CNN improvement algorithm
Authors: Ma Junxia , Liu Qilin , Zhang Zhifeng , Gu Peipei
Published: February 2024

This study proposes a teaching resource recommendation method (TRRDLMF) based on deep learning and probabilistic matrix decomposition, aiming to improve teaching resource recommendation’s accuracy and personalization level. The study combines hybrid neural network feature extraction of teaching resources and user feature extraction based on extended noise-reducing self-encoder and extended probabilistic matrix decomposition-based teaching resource recommendation technique. The study validates the model’s effectiveness by conducting empirical analyses on four online learning platform datasets of different sizes. The recommendation system can effectively track learners’ knowledge mastery status and learning preferences, and provide corresponding teaching resources. Test question similarity and difficulty analysis results show that the model can accurately capture the correlation between test questions and provide complementary data in education. The personalized recommendation analysis reveals the learners’ knowledge preference states that change with learning, demonstrating the model’s ability to give explanations at the level of learners’ knowledge preferences. The analysis of the impact of data size on recommendation results shows that the recommender system can achieve up to 73.12% accuracy and 97.89% recall for different TOP-K recommendation lists, with the best F-value at TOP-6. The personalized recommendation system for teaching resources based on the joint probability matrix decomposition model and CNN improvement algorithm proposed by the research demonstrates significant effects in improving the accuracy and personalization level of teaching resources recommendation, which helps learners to acquire suitable learning resources more efficiently, and has high practical value and promotion potential.
Innovative Teaching of College Vocal Music Courses Aided by Information Integration Technology
Authors: Chen Shuangshuang
Published: February 2024

The article adopts the correlation function method to extract the fundamental frequency features of vocal speech signals and processes this information through the cepstrum method. Then, the audio signals are corrected by linear smoothing to match the features of the students’ audio signals with the features of the musical score to determine the accuracy of the vocal music. The study also includes quantization, frame-splitting, and windowing preprocessing of the audio signals, and constructing an unwritten audio signal feature set based on correlation feature selection. The article also proposes an innovative metaphorical method for improving the teaching mode of vocal music courses in colleges and universities. It analyzes the auxiliary role of information technology in teaching vocal music courses by combining simulation experiments with the effects of practical application. The study results show that the students’ vocal singing fundamental frequency range is close to the standard, roughly 123 to 200, with a maximum error value of 24. With the assistance of information fusion technology, the average score increment of the students’ vocal singing reaches 6.088 points, proving this method’s effectiveness in improving the quality of verbal music teaching.
Application of Information Integration Technology to Help Minority Traditional Arts in Chinese Painting Art Designs
Authors: He Yaru
Published: February 2024

This study utilizes the application of information fusion technology in the artistic design of Chinese paintings, especially exploring how to incorporate the elements of traditional ethnic minority art to enrich and develop the spatial aesthetic expression of Chinese paintings. The study first analyzes the differences in spatial artistic expression between Chinese and Western painting. It focuses on the spatial expression methods of Chinese painting and their application in ethnic minority traditional art. The mathematical model of minority art plane is constructed through the method of coordinate space and its transformation. The PAD emotional attribute model is used to quantitatively analyze the dynamic characteristics of Chinese painting art design works. The results show that the traditional elements of ethnic minorities incorporated in Chinese painting art design can effectively enrich the emotional expression of the paintings and enhance the aesthetic value of the art works. In 2022, the content of traditional elements of ethnic minorities in Chinese paintings increased by about 20 times compared with that in 2015, showing the increasing popularity of this art form. This study reveals the potential application value of information fusion technology in traditional art design and provides a new development direction for Chinese painting art design.
Information fusion technology helps promote the teaching practice of art design specialty in colleges and universities
Authors: Wang Xuemin
Published: February 2024

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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.
Visualization research of modern ceramic production art based on 3D modeling technology
Authors: Ye Yangqiu
Published: February 2024

This paper is based on the research of visual shell related technology of 3D modeling method to extract the corresponding points of the graphical shell, through matching, filtering and denoising operations, to obtain the accurate 3D visualization model and provide new creative ideas and paths for contemporary ceramic art. In the actual ceramic membrane visualization feature extraction, six feature quantities of ceramic membrane, namely, area, aspect ratio, area perimeter, circularity, diagonal length, and angular second-order moments, can be obtained. The application of the visualization technique proposed in this paper to teaching ceramic production art was assessed by the performance of the knowledge answer questions. Regarding the average score, the experimental group (75.5) performed significantly better than the control group (63.6). Significant differences were found between the experimental and control groups in mental rotation (P=0.03<0.05), spatial visualization (P=0.006<0.05), and spatial reasoning skills (F=6.98, P=0.014<0.05). However, the two groups had no significant difference in spatial orientation (P=0.13>0.05). This suggests that the immersive learning environment of visualization technology can significantly enhance learners’ spatial reasoning skills, mental rotation, and spatial orientation.
Research on the Reform of English Precision Teaching in Colleges and Universities Facilitated by Artificial Intelligence Technology
Authors: Wang Lirong , Yu Junli
Published: February 2024

The article analyzes the precise teaching reform by applying artificial intelligence technology in English teaching in colleges and universities to improve teaching efficiency and student learning effect. The study establishes an English teaching model based on learner profiling, using artificial intelligence technology for student data analysis to achieve personalized customization of teaching content. Through empirical analysis, this study found that the experimental class adopting this teaching model significantly improved classroom interaction, learner class profile, and English performance. The average score of English assessment of students in the practical class increased from 55.5465 to 78.7267, and the passing rate also increased significantly. In addition, the teaching mode can effectively reduce the degree of dispersion of students’ performance and reduce the performance differences among students. The application of artificial intelligence technology in English teaching in colleges and universities can effectively promote students’ learning interest and performance improvement, providing a new direction for reforming English teaching in colleges and universities.
Analysis of Factors Influencing the Construction of Modern Apprenticeship Management System of Higher Vocational Colleges and Universities on Students’ Motivation in the Context of Information Technology
Authors: Wang Qi
Published: February 2024

With the increasing demand for high-quality skilled talents, building a teaching management system suitable for the characteristics of modern apprenticeship is the key to ensuring the smooth implementation of practical teaching. After the contemporary apprenticeship quality management system, this article takes vocational college students under the current apprenticeship management system in S city as the research object, uses principal component analysis and multiple choice linear regression methods to evaluate student initiative and explore the relevant influencing factors, Assess the impact and degree of influence of various factors on the agency of vocational college students. The results show that motivation investment (0.2421) and emotional investment (0.2335) are closely related to the evaluation results of student agency. The agency of the selected students is at a lower than average level, with an evaluation score of 2.9096. The impact value of the modern apprenticeship management system on student agency is 3.561, above average. Among them, The impact of factor process (3.838) is the greatest
Construction and Implementation of Innovation and Entrepreneurship Education System in Higher Vocational Colleges in the New Era Based on VAR Modeling
Authors: Xu Changjiang
Published: February 2024

This study is dedicated to exploring the construction and implementation of innovation and entrepreneurship education system in higher vocational colleges. By analyzing the relationship between education investment and industrial employment, it further enhances the innovation and entrepreneurship ability of students in higher vocational colleges. It promotes the synergistic development of education and economy. First, the relationship between higher education investment and industrial employment is analyzed by VAR model, which reveals the influence of education on the structural adjustment of industrial jobs. Second, the evaluation indexes and quality clustering of innovation and entrepreneurship education are refined through fuzzy cluster analysis and K-means clustering method based on seagull optimization algorithm. The research results show that the improved innovation and entrepreneurship education system can significantly improve students’ innovation and entrepreneurship satisfaction and self-evaluation, in which the indicators of entrepreneurial spirit and psychological quality are considerably enhanced. In addition, students’ innovation and entrepreneurship ability showed significant differences in multiple dimensions. This study confirms the effectiveness of the construction of innovation and entrepreneurship education system in higher vocational colleges, which is substantial in improving students’ innovation and entrepreneurship ability.
Study on the Construction of Evaluation Indicator System and Level Measurement of Rural Governance Modernization in the Information Age
Authors: Cao Yuanping
Published: February 2024

In the context of the information age, accelerating the modernization of rural governance has become the focus of social attention. This paper adopts the coupled coordination degree model. It applies the coefficient of variation method to standardize the evaluation index data, thus establishing a spatial measurement model for in-depth analysis of rural governance. This paper constructs a modernization evaluation index model, including five main evaluation indexes, including industrial modernization, ecological excellence, cultural modernization, effective governance, and affluent life, to form a comprehensive rural governance modernization evaluation system. Hunan Province in China is the case study, and this study explores its rural governance modernization level in detail. The results show that the development level of rural governance modernization in Hunan Province is higher than the average value of the composite index of the six central provinces, which is 0.4701. In developing rural governance modernization indicators, the indicators generally show an upward trend, with an increase of 8.7%, 5.66%, 16.43%, 4.79%, and 13.84%, respectively. However, the indicators of effective governance and cultural modernization have become the main obstacles to the modernization of rural governance in Hunan Province, with the combined obstacle degree of these two indicators reaching 67.92%. This study not only provides a practical evaluation tool and method for rural governance modernization, but also provides specific data support and policy recommendations for developing rural governance modernization in Hunan Province, which helps to promote the process of modernizing regional rural governance.
Balance of authenticity and artistry in TV drama scene design in the context of digital media
Authors: Chi Linyu
Published: February 2024

With the development of digital media technology, TV drama scene design increasingly emphasizes authenticity and artistry, and explores how to enhance the visual effect and emotional expression of TV dramas through 3D modeling and advanced image processing techniques. ASIS network is utilized for 3D modeling and semantic segmentation of scenes to improve scene design’s realism and artistic expression through meticulous model construction and precise image processing techniques. The study employs the regional iterative nearest-point alignment and light intensity polarization correction methods for 3D reconstruction and virtual scene rendering of live TV drama scenes to achieve highly realistic visual effects. The results show that the integrity error of this research method in scene reconstruction is 0.325, the accuracy error is 0.294, and the reconstruction wholeness is 0.289, which is an obvious advantage compared with the traditional methods. In addition, this paper also explores the semantic segmentation and reconstruction parallax value of scene design to verify the method’s effectiveness. The scene design of TV drama combined with modern digital technology can effectively balance authenticity and artistry, and provide a richer and more realistic visual experience for TV drama.
Research on the Construction of College Students’ Employment and Entrepreneurship Guidance Course System under the Background of “Internet+”
Authors: Fang Min , Wang Wenchao
Published: February 2024

With the arrival of the “Internet Plus” era, college students are facing new challenges of Employment and entrepreneurship. This study aims to explore an effective guidance course system for Employment and entrepreneurship to meet the current social development needs and enhance students’ entrepreneurial ability and employment competitiveness. Through data mining decision tree algorithm, college students’ employment and entrepreneurship situation and their influencing factors were analyzed to establish an effective guidance course system. It was found that factors such as gender, specialty category, and entrepreneurial experience significantly affect students’ entrepreneurial intention. The results of the decision tree analysis show that factors such as family self-employment situation, entrepreneurial attitude, subjective norms, perceived behavioral control, entrepreneurial self-efficacy and entrepreneurship are closely related to the entrepreneurial intention of college students. Based on this, strategies such as building innovation and entrepreneurship simulation and rehearsal carriers, broadening practical teaching bases, and constructing supportive entrepreneurial entity projects are proposed to promote the enhancement of college students’ entrepreneurial ability and the adaptability of the job market.
Research on the Construction of English Intelligent Teaching Mode in Colleges and Universities Facilitated by Artificial Intelligence Technology
Authors: Huang Xiaoyan
Published: February 2024

With the rapid development of artificial intelligence technology, its application in education has become increasingly widespread, especially in English teaching in colleges and universities. Using artificial intelligence technology to build an intelligent teaching mode can effectively improve the quality of teaching and students’ learning efficiency. The study adopts Bayesian algorithm and Bayesian-based learning tracking model (BKT and BF-BKT) as the main methods to optimize the teaching mode by analyzing learners’ mastery of knowledge points and behavioral performance. The results show that the maximum response time of the model is only 1038.59 milliseconds when the number of users is 120, proving the model’s efficiency in handling large-scale data. In addition, the intelligent teaching model positively impacted both teacher-student interaction and student learning ability. The teacher speech ratio decreased from 80.26% to 62.53%, and the students’ autonomy and participation increased significantly; the mean value of students’ learning ability in independent learning and critical thinking exceeded 4.00. The application of AI technology in teaching English in colleges and universities can significantly improve the quality of teaching and students’ learning effect.
Artificial Intelligence Empowers Emotional Expression and Aesthetic Imagery in Modern Chinese Literature
Authors: Jiang Kaibo
Published: February 2024

This paper explores how artificial Intelligence enhances emotional expression and aesthetic imagery in modern Chinese literature. The study focuses on the latent semantic analysis of literary texts, text mining challenges, techniques and algorithms for latent semantic analysis, and the application of artificial Intelligence in literary criticism. Through text representation, analysis of text mining challenges, latent semantic analysis (LSA), and the application of specific algorithms, this study provides an in-depth understanding of the intrinsic semantics of literary texts. The study employs text representation methods, such as the TF-IDF formulation, to deal with high-dimensional sparse text data. The main challenges include high dimensionality and discovering potential semantic relationships between words. Latent semantic analysis (LSA) realizes data dimensionality reduction through SVD singular value decomposition technique to extract the implicit relationships between words in text. The results show that LSA effectively pulls the potential semantic structure of the text, reduces the “noise”, simplifies the text vectors, and realizes the dimensionality reduction. In addition, the text clustering analysis using Kohonen self-organized feature mapping network reveals the semantic relationship and sentiment distribution among literary works. Intelligent technology can effectively enhance literary works’ emotional depth and aesthetic value and provide a new interpretation perspective for modern literature.
Research on the Cultivation of Core Literacy of Physical Education Professionals in Colleges and Universities Based on the Background of Data Mining
Authors: Li Xiang
Published: February 2024

In the context of the data-driven era, it is essential to explore practical ways to cultivate the core literacy of sports professionals in colleges and universities. This study aims to analyze the core literacy of physical education majors in depth by using data mining technology to seek a more scientific and systematic cultivation strategy. The study used the decision tree CART algorithm and the improved Apriori algorithm to analyze the physical fitness data of the students in the School of Physical Education of S University. The CART algorithm clustered the biological fitness data of male and female students, and it was found that male students’ primary physical fitness deficiencies were concentrated in the upper body strength and standing long jump events. In contrast, female students showed deficiencies in endurance and lower body explosive strength. The improved Apriori algorithm reveals the association rules between different physical fitness items, for example, there is a strong association between boys’ 50-meter running performance and pull-up performance. There are apparent differences in the influencing factors of physical fitness between male and female students, which need to be targeted to design training programs. It was found through association rule mining that specific physical testing programs significantly affect students’ physical fitness quality. This study provides a new path for cultivating core quality of physical education professionals based on data mining, which offers scientific basis and practical guidance for physical education in colleges and universities.