Starting from the perspectives of constructivist philosophy and process philosophy, this paper uses descriptive analysis to explore the philosophy concept of practical music education, and concludes that practical music philosophy is the result of the comprehensive effect of many factors in music education. On the basis of the philosophy concept of music education, combining the characteristic parameters and objective function and similarity algorithm to construct a practical music education philosophy resource recommendation model to realize the construction of practical music education philosophy in colleges and universities, and adopting the method of statistical analysis to research and analyze the practical music education philosophy in the digital era. The results show that the score of instrumental performance students (4.0431) is significantly lower than that of students of other majors, and the difference is significant, with higher humanistic literacy in art and sports and a better foundation in cultural courses. The order of correlation between the scores of emotional identity dimension and the factors influencing the work of values cultivation in the philosophy of practical music education is, in descending order, the object of education (0.499), the subject of education (0.451), the mediator of education (0.476), and the ring of education (0.287), which indicates that the object of education (college students) is the most important factor influencing the work of values cultivation in the philosophy of practical music education. The purpose of this study is to examine the meaning and significance of practical music education philosophy, which is a significant source of inspiration for music education in China today.
{"title":"A Philosophical Inquiry into Practical Music Education in the Digital Age","authors":"Jingjing Qiu","doi":"10.2478/amns-2024-0065","DOIUrl":"https://doi.org/10.2478/amns-2024-0065","url":null,"abstract":"\u0000 Starting from the perspectives of constructivist philosophy and process philosophy, this paper uses descriptive analysis to explore the philosophy concept of practical music education, and concludes that practical music philosophy is the result of the comprehensive effect of many factors in music education. On the basis of the philosophy concept of music education, combining the characteristic parameters and objective function and similarity algorithm to construct a practical music education philosophy resource recommendation model to realize the construction of practical music education philosophy in colleges and universities, and adopting the method of statistical analysis to research and analyze the practical music education philosophy in the digital era. The results show that the score of instrumental performance students (4.0431) is significantly lower than that of students of other majors, and the difference is significant, with higher humanistic literacy in art and sports and a better foundation in cultural courses. The order of correlation between the scores of emotional identity dimension and the factors influencing the work of values cultivation in the philosophy of practical music education is, in descending order, the object of education (0.499), the subject of education (0.451), the mediator of education (0.476), and the ring of education (0.287), which indicates that the object of education (college students) is the most important factor influencing the work of values cultivation in the philosophy of practical music education. The purpose of this study is to examine the meaning and significance of practical music education philosophy, which is a significant source of inspiration for music education in China today.","PeriodicalId":52342,"journal":{"name":"Applied Mathematics and Nonlinear Sciences","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140522524","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In the context of rapid technological development, the digital transformation of non-heritage culture is significant, which not only helps to protect and inherit, but also attracts more audiences through innovative ways. This study explores non-heritage cultures’ virtual experience interaction design and promotion methods. It investigates the optimization of digital revitalization and interaction design of non-heritage handicrafts with deep learning oversampling techniques to enhance user experience and promote cultural dissemination. After effective screening, 400 valid samples were obtained after collecting 450 questionnaires during the experiment. The interaction design of non-heritage virtual experiences optimized with deep learning technology can significantly improve users’ knowledge and interest in non-heritage culture. The correct rate of participants’ cognition of NRL cultural content increased to more than 95% on average after the experience, in which the proper rate of cognition of plant elements and arrangement forms was as high as 98.9%. The study found that the community interaction function plays a significant role in improving user satisfaction. Deep learning oversampling technology has a substantial effect on the virtual interaction design of non-heritage culture, which can effectively promote the living inheritance and promotion of non-heritage culture.
{"title":"Interactive design and promotion of virtual experience of non-heritage culture","authors":"Xi Zhao, Shenghua Duan","doi":"10.2478/amns-2024-0838","DOIUrl":"https://doi.org/10.2478/amns-2024-0838","url":null,"abstract":"\u0000 In the context of rapid technological development, the digital transformation of non-heritage culture is significant, which not only helps to protect and inherit, but also attracts more audiences through innovative ways. This study explores non-heritage cultures’ virtual experience interaction design and promotion methods. It investigates the optimization of digital revitalization and interaction design of non-heritage handicrafts with deep learning oversampling techniques to enhance user experience and promote cultural dissemination. After effective screening, 400 valid samples were obtained after collecting 450 questionnaires during the experiment. The interaction design of non-heritage virtual experiences optimized with deep learning technology can significantly improve users’ knowledge and interest in non-heritage culture. The correct rate of participants’ cognition of NRL cultural content increased to more than 95% on average after the experience, in which the proper rate of cognition of plant elements and arrangement forms was as high as 98.9%. The study found that the community interaction function plays a significant role in improving user satisfaction. Deep learning oversampling technology has a substantial effect on the virtual interaction design of non-heritage culture, which can effectively promote the living inheritance and promotion of non-heritage culture.","PeriodicalId":52342,"journal":{"name":"Applied Mathematics and Nonlinear Sciences","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140522570","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
English in colleges and universities is an important subject for learning, so it is especially important to evaluate and analyze the quality of teaching English in colleges and universities. This paper constructs the evaluation system of college English teaching quality based on the AHP model, builds the three-level index model of college English teaching quality by combining the relative importance level of Sta, and then carries out the normalization process to determine the importance degree of the indexes at all levels. Combined with factor analysis and data analysis of the results of the expert consultation on the indicator model to measure the factors affecting the quality of teaching in colleges and universities for the overall evaluation and analysis. From the validation data, it can be seen that there are 24 correlation coefficients above 0.5 and 12 above 0.8 in the model influence factor testing. The standardized factor loadings of each potential variable are all greater than 0.75, and the average variance extractions are all greater than 0.65, effectively verifying the internal consistency and convergent validity of the indicator model. In the validation data of the teaching evaluation system, the individual scores of the three-level indicators are all greater than 90, indicating the effectiveness and appropriateness of the teaching evaluation system. The construction of an English teaching quality evaluation system in colleges and universities is conducive to the improvement of teaching management and a more precise grasp of the improvement of teaching quality.
{"title":"Analysis of English Teaching Quality Evaluation in Colleges and Universities Based on AHP Modeling","authors":"Ting Yan, Yahong Zhou","doi":"10.2478/amns-2024-0044","DOIUrl":"https://doi.org/10.2478/amns-2024-0044","url":null,"abstract":"\u0000 English in colleges and universities is an important subject for learning, so it is especially important to evaluate and analyze the quality of teaching English in colleges and universities. This paper constructs the evaluation system of college English teaching quality based on the AHP model, builds the three-level index model of college English teaching quality by combining the relative importance level of Sta, and then carries out the normalization process to determine the importance degree of the indexes at all levels. Combined with factor analysis and data analysis of the results of the expert consultation on the indicator model to measure the factors affecting the quality of teaching in colleges and universities for the overall evaluation and analysis. From the validation data, it can be seen that there are 24 correlation coefficients above 0.5 and 12 above 0.8 in the model influence factor testing. The standardized factor loadings of each potential variable are all greater than 0.75, and the average variance extractions are all greater than 0.65, effectively verifying the internal consistency and convergent validity of the indicator model. In the validation data of the teaching evaluation system, the individual scores of the three-level indicators are all greater than 90, indicating the effectiveness and appropriateness of the teaching evaluation system. The construction of an English teaching quality evaluation system in colleges and universities is conducive to the improvement of teaching management and a more precise grasp of the improvement of teaching quality.","PeriodicalId":52342,"journal":{"name":"Applied Mathematics and Nonlinear Sciences","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140518547","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The article improves the algorithm’s efficiency by constructing a pattern of interest level sequences and a method of calculating the support value using sequences through the knowledge of nursing. The study utilizes the leverage rate to filter valuable data and improves the leverage rate for sequence length, while introducing pruning strategies. The article proposes a TPKCEE teaching model of Civics integration into Introduction to Nursing and analyzes its practical effects. The study results showed that after the education of Civics Integration, the mean value of professional identity of most students in the studied nursing classes was more than 60 points. In the analysis of interest preference, students showed significant interest in “Concepts of Nursing”, especially in the knowledge points related to “Outlook on Life” in the Civics teaching. The TPKCEE blended teaching strategy effectively realizes the integration of Civics and Introduction to Nursing, and helps enhance medical students’ humanities. The TPKCEE blended teaching strategy effectively recognizes the integration of Civics and Introduction to Nursing courses, and helps to improve the humanistic quality of medical students. It provides practical guidance and methods for medical schools to educate in integrating medical technology and humanities, which is of great significance to enhance the comprehensive quality of medical students.
{"title":"Exploration of blended teaching and learning of Introduction to Nursing by integrating curricular politics in the Internet era","authors":"Wei Liu","doi":"10.2478/amns-2024-0487","DOIUrl":"https://doi.org/10.2478/amns-2024-0487","url":null,"abstract":"\u0000 The article improves the algorithm’s efficiency by constructing a pattern of interest level sequences and a method of calculating the support value using sequences through the knowledge of nursing. The study utilizes the leverage rate to filter valuable data and improves the leverage rate for sequence length, while introducing pruning strategies. The article proposes a TPKCEE teaching model of Civics integration into Introduction to Nursing and analyzes its practical effects. The study results showed that after the education of Civics Integration, the mean value of professional identity of most students in the studied nursing classes was more than 60 points. In the analysis of interest preference, students showed significant interest in “Concepts of Nursing”, especially in the knowledge points related to “Outlook on Life” in the Civics teaching. The TPKCEE blended teaching strategy effectively realizes the integration of Civics and Introduction to Nursing, and helps enhance medical students’ humanities. The TPKCEE blended teaching strategy effectively recognizes the integration of Civics and Introduction to Nursing courses, and helps to improve the humanistic quality of medical students. It provides practical guidance and methods for medical schools to educate in integrating medical technology and humanities, which is of great significance to enhance the comprehensive quality of medical students.","PeriodicalId":52342,"journal":{"name":"Applied Mathematics and Nonlinear Sciences","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140527423","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The digital teaching model of Civics at the current stage still has deficiencies and does not achieve the expected effect. This paper utilizes data analysis and mining methods starting from the digital classroom platform to assess students’ knowledge and skill mastery through the CDA static cognitive analysis model. Then, students’ learning behaviors were analyzed using K-Means, and an evaluation model of interactive behavioral characteristics was constructed to analyze students’ Civics learning characteristics in combination with the above three aspects. Relying on the digital classroom platform, a corresponding teaching model for Civics in colleges and universities was developed. Our analysis of the impact of teachers’ and students’ interaction behaviors in Civics teaching and the realistic results of the Civics teaching model designed in this study is aided by the selection of empirical samples. The results show that the optimized students’ interactive behavior rate of Civics learning is more than 50%, and the interaction time increases to 19 minutes, which has a significant improvement effect. Analyzing the digital classroom teaching model of Civics, 28 students in Case 2 in the course comparison had greater interest in Civics learning, meanwhile, only 6 students had low interest in Civics learning, and the digital teaching model of Civics effectively enhanced students’ knowledge and literacy.
{"title":"Exploration of Civics Teaching Mode in Colleges and Universities Relying on Digital Classroom Platforms","authors":"Xueying Dong, Guizhen Liu","doi":"10.2478/amns-2024-0100","DOIUrl":"https://doi.org/10.2478/amns-2024-0100","url":null,"abstract":"\u0000 The digital teaching model of Civics at the current stage still has deficiencies and does not achieve the expected effect. This paper utilizes data analysis and mining methods starting from the digital classroom platform to assess students’ knowledge and skill mastery through the CDA static cognitive analysis model. Then, students’ learning behaviors were analyzed using K-Means, and an evaluation model of interactive behavioral characteristics was constructed to analyze students’ Civics learning characteristics in combination with the above three aspects. Relying on the digital classroom platform, a corresponding teaching model for Civics in colleges and universities was developed. Our analysis of the impact of teachers’ and students’ interaction behaviors in Civics teaching and the realistic results of the Civics teaching model designed in this study is aided by the selection of empirical samples. The results show that the optimized students’ interactive behavior rate of Civics learning is more than 50%, and the interaction time increases to 19 minutes, which has a significant improvement effect. Analyzing the digital classroom teaching model of Civics, 28 students in Case 2 in the course comparison had greater interest in Civics learning, meanwhile, only 6 students had low interest in Civics learning, and the digital teaching model of Civics effectively enhanced students’ knowledge and literacy.","PeriodicalId":52342,"journal":{"name":"Applied Mathematics and Nonlinear Sciences","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140518565","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
With the development of the Internet, people are more and more pursuing the high-quality development of society, and the cultivation of high-quality talents is also more and more important. Aiming at the dilemma of professional ethics of senior accounting professionals, this paper introduces generator and discriminator structure based on a deep clustering algorithm and constructs a double autocoding deep embedded clustering model, i.e. DADEC model. After completing the model construction, iterative optimization of the clustering center is carried out by combining the small batch stochastic gradient descent and backpropagation algorithms to reduce the clustering loss. The optimized model is utilized in the professional ethics education of senior accounting professionals to categorize their dilemmas and explore breakthrough strategies. The results show that the perceptions of accounting majors in 15 higher vocational colleges and universities in terms of ethical knowledge, sense of professional dedication, professional ethical will, and professional ethical conduct are below 0.6 points. The mean value of the classroom effect of professional ethics education is 0.588, and there is a dilemma between a single teaching form and outdated teaching content. The scores of students in honesty, trustworthiness, love, and dedication are below 60 points. Although there are certain challenges in the current training of senior accounting professionals, the combination of this study points out the direction for overcoming these challenges.
{"title":"The Dilemma and Breakthrough of Professional Ethics Education for Higher Vocational Accounting Professionals in the Internet Era","authors":"Xuemei Chen, Jian Wu, Hui Wang, Yuanyuan Zhang","doi":"10.2478/amns-2024-0244","DOIUrl":"https://doi.org/10.2478/amns-2024-0244","url":null,"abstract":"\u0000 With the development of the Internet, people are more and more pursuing the high-quality development of society, and the cultivation of high-quality talents is also more and more important. Aiming at the dilemma of professional ethics of senior accounting professionals, this paper introduces generator and discriminator structure based on a deep clustering algorithm and constructs a double autocoding deep embedded clustering model, i.e. DADEC model. After completing the model construction, iterative optimization of the clustering center is carried out by combining the small batch stochastic gradient descent and backpropagation algorithms to reduce the clustering loss. The optimized model is utilized in the professional ethics education of senior accounting professionals to categorize their dilemmas and explore breakthrough strategies. The results show that the perceptions of accounting majors in 15 higher vocational colleges and universities in terms of ethical knowledge, sense of professional dedication, professional ethical will, and professional ethical conduct are below 0.6 points. The mean value of the classroom effect of professional ethics education is 0.588, and there is a dilemma between a single teaching form and outdated teaching content. The scores of students in honesty, trustworthiness, love, and dedication are below 60 points. Although there are certain challenges in the current training of senior accounting professionals, the combination of this study points out the direction for overcoming these challenges.","PeriodicalId":52342,"journal":{"name":"Applied Mathematics and Nonlinear Sciences","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140521671","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Labor education is an important content of quality education, and the promotion of higher education cannot be separated from the implementation and practice of labor education. The labor education platform and labor education resource base in colleges and universities are established using the big data platform, which combines Hadoop technology and the HBase database. In order to help students obtain labor education teaching resources more efficiently on the labor education platform, reinforcement learning is combined with a deep neural network to optimize the scheduling of teaching resources, and α -the dispersion recommendation algorithm is used to realize personalized recommendations of teaching resources. With regard to the effectiveness of the labor education platform, load testing and application effects were carried out, and the influencing factors of labor behavior and craftsmanship cultivation of college labor education students were analyzed in depth. The labor education platform’s transaction response time increases by 22.5 seconds when the number of users reaches 5000, according to the results. The personal motivation for craftsmanship in the process of labor education will be affected by the campus culture, and its correlation coefficient is 0.565, and the student’s satisfaction with the platform of labor education reaches 0.825. The innovation and development of labor education in colleges and universities need to fully rely on the big data platform to promote the optimization and sharing of labor education resources and to promote the development of labor education resources. The cultivation of student labor creation and craftsmanship can be ensured through the optimization and sharing of educational resources.
{"title":"Development path of college labor education based on big data platform in the context of health psychology","authors":"Congcong Li, Xuehui Wang","doi":"10.2478/amns-2024-0108","DOIUrl":"https://doi.org/10.2478/amns-2024-0108","url":null,"abstract":"\u0000 Labor education is an important content of quality education, and the promotion of higher education cannot be separated from the implementation and practice of labor education. The labor education platform and labor education resource base in colleges and universities are established using the big data platform, which combines Hadoop technology and the HBase database. In order to help students obtain labor education teaching resources more efficiently on the labor education platform, reinforcement learning is combined with a deep neural network to optimize the scheduling of teaching resources, and α -the dispersion recommendation algorithm is used to realize personalized recommendations of teaching resources. With regard to the effectiveness of the labor education platform, load testing and application effects were carried out, and the influencing factors of labor behavior and craftsmanship cultivation of college labor education students were analyzed in depth. The labor education platform’s transaction response time increases by 22.5 seconds when the number of users reaches 5000, according to the results. The personal motivation for craftsmanship in the process of labor education will be affected by the campus culture, and its correlation coefficient is 0.565, and the student’s satisfaction with the platform of labor education reaches 0.825. The innovation and development of labor education in colleges and universities need to fully rely on the big data platform to promote the optimization and sharing of labor education resources and to promote the development of labor education resources. The cultivation of student labor creation and craftsmanship can be ensured through the optimization and sharing of educational resources.","PeriodicalId":52342,"journal":{"name":"Applied Mathematics and Nonlinear Sciences","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140527050","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In the rapid development of society, the combination of information technology and scenic environmental art design is getting closer, bringing a new creative perspective and broad space for the design field. This paper explores the integration path of information technology, regional culture and environmental art design based on this trend. It puts forward an innovative optimization strategy of ecological art design for tourist scenic spots and successfully applies it to scenic places. To verify the effectiveness of this design strategy, the article adopts BP neural network model. It combines it with genetic algorithm for deep optimization to enhance the objective evaluation of the design results. To verify the effectiveness of this design strategy, the article adopts the BP neural network model. It combines the genetic algorithm to optimize it in depth, enhancing the objectivity of evaluating the design results. After rigorous testing and analysis, the design strategy of this paper has achieved remarkable optimization effects in the lighting, ecological and cultural design of the scenic area, especially in the picturesque area of mountain diversity and forest landscape, showing a high degree of diversity, the average value reached 4.75% and 4.75% respectively. At the same time, the average value of the planting proportion of native tree species surpasses 4.6, which proves that the optimized design strategy plays a crucial role in protecting and enhancing the ecology and culture of the scenic spot.
在社会飞速发展的今天，信息技术与景区环境艺术设计的结合越来越紧密，为设计领域带来了全新的创作视角和广阔空间。本文基于这一趋势，探讨了信息技术、地域文化与环境艺术设计的融合路径。提出了旅游景区生态艺术设计的创新优化策略，并成功应用于景区。为了验证该设计策略的有效性，文章采用了 BP 神经网络模型。为了验证该设计策略的有效性，文章采用了 BP 神经网络模型，并将其与遗传算法相结合进行深度优化，以增强对设计结果的客观评价。为了验证该设计策略的有效性，文章采用了 BP 神经网络模型。它结合遗传算法进行深度优化，增强了设计结果评价的客观性。经过严格的测试和分析，本文的设计策略在景区的照明、生态和文化设计中取得了显著的优化效果，尤其是在山地多样性和森林景观的风景区中，表现出了较高的多样性，平均值分别达到了 4.75% 和 4.75%。同时，乡土树种种植比例的平均值超过了 4.6，这证明了优化设计策略在保护和提升景区生态和文化方面发挥了至关重要的作用。
{"title":"Environmental Art Design of Tourist Attractions with Regional Culture Fusion and Digital Innovation","authors":"Zhanfang Chen, Dan Song","doi":"10.2478/amns-2024-0510","DOIUrl":"https://doi.org/10.2478/amns-2024-0510","url":null,"abstract":"\u0000 In the rapid development of society, the combination of information technology and scenic environmental art design is getting closer, bringing a new creative perspective and broad space for the design field. This paper explores the integration path of information technology, regional culture and environmental art design based on this trend. It puts forward an innovative optimization strategy of ecological art design for tourist scenic spots and successfully applies it to scenic places. To verify the effectiveness of this design strategy, the article adopts BP neural network model. It combines it with genetic algorithm for deep optimization to enhance the objective evaluation of the design results. To verify the effectiveness of this design strategy, the article adopts the BP neural network model. It combines the genetic algorithm to optimize it in depth, enhancing the objectivity of evaluating the design results. After rigorous testing and analysis, the design strategy of this paper has achieved remarkable optimization effects in the lighting, ecological and cultural design of the scenic area, especially in the picturesque area of mountain diversity and forest landscape, showing a high degree of diversity, the average value reached 4.75% and 4.75% respectively. At the same time, the average value of the planting proportion of native tree species surpasses 4.6, which proves that the optimized design strategy plays a crucial role in protecting and enhancing the ecology and culture of the scenic spot.","PeriodicalId":52342,"journal":{"name":"Applied Mathematics and Nonlinear Sciences","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140523041","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Education informatization, as a critical force to promote social informatization and education modernization, profoundly impacts the development of higher education. In this study, through the data envelopment analysis (DEA) technique, the resource input and output effects of higher education informatization are deeply explored, and a comprehensive evaluation system for the effectiveness of higher education informatization management is constructed. Using the coefficient of variation, McLean index and Worstegen index, this paper analyzes the development differences of higher education informatization in different regions and their causes. Thirty-two representative undergraduate colleges and universities are selected as the research objects, and the results show that 11 colleges and universities have achieved optimal efficiency in education management and talent cultivation, and are recognized as DEA effective decision-making units. This study provides valuable references and guidance for the government in allocating informatization resources, and for colleges and universities in improving their informatization management ability and talent cultivation effectiveness.
{"title":"Research on Informatization Mode of Higher Education Management and Student Cultivation Mechanism in the Internet Era","authors":"Feng Yu, Yan Lu","doi":"10.2478/amns-2024-0404","DOIUrl":"https://doi.org/10.2478/amns-2024-0404","url":null,"abstract":"\u0000 Education informatization, as a critical force to promote social informatization and education modernization, profoundly impacts the development of higher education. In this study, through the data envelopment analysis (DEA) technique, the resource input and output effects of higher education informatization are deeply explored, and a comprehensive evaluation system for the effectiveness of higher education informatization management is constructed. Using the coefficient of variation, McLean index and Worstegen index, this paper analyzes the development differences of higher education informatization in different regions and their causes. Thirty-two representative undergraduate colleges and universities are selected as the research objects, and the results show that 11 colleges and universities have achieved optimal efficiency in education management and talent cultivation, and are recognized as DEA effective decision-making units. This study provides valuable references and guidance for the government in allocating informatization resources, and for colleges and universities in improving their informatization management ability and talent cultivation effectiveness.","PeriodicalId":52342,"journal":{"name":"Applied Mathematics and Nonlinear Sciences","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140515681","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study focuses on applying artificial intelligence techniques to virtually simulate the vibration characteristics of the resonance box of a college symphony orchestra to improve the understanding and optimization of the acoustic performance of the instrument. The study uses the finite element method and digital waveguide technology to simulate and analyze the vibration characteristics of the stringed resonating musical instrument, which is realized by the vibration equation of an ideal string and the principle of digital waveguide algorithm. The experimental results show that the applied simulation technique can effectively simulate the vibration characteristics of the resonance box of the musical instrument, such as the ideal string vibration and the cavity coupling effect. In addition, the study involves the mathematical expressions of forced vibration and resonance and the effects of various materials on the modal frequencies of the resonance box. The application of artificial intelligence technology in studying acoustic characteristics of musical instruments significantly improves the accuracy and efficiency of simulation. It provides essential theoretical support for the design and production of musical instruments.
{"title":"Virtual Simulation Research on Resonance Box Vibration Characteristics of College Symphony Orchestra Driven by Artificial Intelligence Technology","authors":"Xinye Wang, Xiaomei Zhang","doi":"10.2478/amns-2024-0683","DOIUrl":"https://doi.org/10.2478/amns-2024-0683","url":null,"abstract":"\u0000 This study focuses on applying artificial intelligence techniques to virtually simulate the vibration characteristics of the resonance box of a college symphony orchestra to improve the understanding and optimization of the acoustic performance of the instrument. The study uses the finite element method and digital waveguide technology to simulate and analyze the vibration characteristics of the stringed resonating musical instrument, which is realized by the vibration equation of an ideal string and the principle of digital waveguide algorithm. The experimental results show that the applied simulation technique can effectively simulate the vibration characteristics of the resonance box of the musical instrument, such as the ideal string vibration and the cavity coupling effect. In addition, the study involves the mathematical expressions of forced vibration and resonance and the effects of various materials on the modal frequencies of the resonance box. The application of artificial intelligence technology in studying acoustic characteristics of musical instruments significantly improves the accuracy and efficiency of simulation. It provides essential theoretical support for the design and production of musical instruments.","PeriodicalId":52342,"journal":{"name":"Applied Mathematics and Nonlinear Sciences","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140527015","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：