Distribution Of Educational Resources Research Articles

Research On the Uneven Distribution of Educational Resources in China

Taking the current situation of education in China as the starting point, firstly this paper points out the healthy changes such as educational reform. It focuses on the analysis of the uneven distribution of educational resources in China's current education, which focuses on the uneven distribution of educational resources in the eastern and western regions and the uneven development of education in urban and rural area. Finally, the article concludes the imbalance of China's education development through the analysis of specific data such as the average salary of high school teachers and the overall national education expenditure. One of the most intuitive problems caused by the difference in educational resources is the huge difference in the illiteracy rate between the east and the west of China, with the illiteracy rate in most eastern provinces being less than 7%, while that in some western provinces is as high as 40%. It also puts forward suggestions for increasing investment in education expenditure, increasing teachers' salaries, and strengthening supervision.

Analysis of informationization teaching algorithms based on the internet of things

This study intends to solve the problems brought on by regional differences in the distribution of educational resources, inadequate growth of schools, and various levels of informationization in university education. Because of the complicated functional framework that is now in place, university life is unsafe for both teachers and students. The issue is further complicated by challenges with maintaining several cards for one person, a lack of seamless software and educational platform integration, and multiple obstacles between data and users. Information inequality is exacerbated by inadequate learning resources, and development is hampered by the lack of efficient teacher-student feedback mechanisms. It can also be difficult to accurately manage a huge group of people. This study uses the web and artificial intelligence (AI) technology to create comprehensive, succinct, effective, and high-performing college instruction information technology in order to address these difficulties. Irrespective of the time or day, the system seeks to serve teachers and students while managing a sizable influx of visitors. Throughout the development process, the system is actively optimized and improved by the research. The experiment’s findings illustrate a robust interface function via practical assessment. Usability assessments show that the feedback is better than the previous system, with response times being reduced. Additionally, the updated system shows a typical reduction in overall electrical usage.

A comprehensive investigation for ChatGPTs applications in education

With the surge in popularity of Chat Generative Pre-trained Transformer (ChatGPT), an artificial intelligence technology, on a global scale, numerous industries have started to take notice of its potential applications in their specific sectors, including the field of education. This document presents a thorough examination of how ChatGPT is being used in the realm of education. The following piece outlines the approaches to integrating ChatGPT into education, viewed from three angles: Educational Assessment, Exercise Generation, and Personalized Learning. It also provides comprehensive guidelines aimed at both teachers and students. Utilizing ChatGPT in education allows for personalized one-on-one assistance to students, addressing challenges posed by uneven distribution of educational resources and individual differences among students. Current research on applying ChatGPT in education mostly revolves around designing prompts to elicit specific responses or using generated content for evaluating its subject-specific capabilities. Given that ChatGPT is a more versatile form of artificial intelligence not limited to any particular domain, the article suggests that future research should focus more on integrating ChatGPT into existing educational systems, ensuring its consistent performance in specific tasks. Furthermore, considering ChatGPT's possibility of generating imprecise information, it is necessary to explore how to fine-tune ChatGPT using specialized databases, enabling it to generate reliable content in professional subject areas.

Marx and Engels' Educational Thought and Its Innovation and Practice in the New Era

The educational ideas deeply explored by Marx and Engels in revolutionary practice have strong vitality and important guiding significance. In the context of the new era, socialism with Chinese characteristics further enriches the educational ideas of Marx and Engels, emphasizes the cultivation of morality and clarifies the purpose of education; At the same time, traditional cultural education has been highlighted, and the role of education in cultural inheritance and spiritual construction has been played; The distribution of educational resources has been balanced, and educational equity has been improved; Education reform is also constantly deepening to cultivate innovative talents with innovative abilities. Therefore, we must always prioritize education as a strategic development priority; Deepen the reform of the education system and mechanism to promote the healthy development of education; Strengthening the construction of the teaching staff to safeguard the improvement of educational quality; Emphasize the joint efforts of the Party, government, society, schools, families, and individuals in education.

Research on Optimized Allocation and Use Effect of Music Education Resources Based on MOOC Platform

Abstract The equitable distribution of educational resources epitomizes the essence of establishing a robust educational nation. Yet, the issue of unequal allocation of music education resources has largely been overlooked. This study addresses this gap by examining the current status of music resource distribution across colleges and universities in Province C. An objective function was formulated based on four key indicators reflective of music education resources. The Non-dominated Sorting Genetic Algorithm II (NSGA-II), a multi-objective optimization algorithm, was employed to optimize this function and develop a novel resource allocation strategy. Upon implementation of this strategy, the optimized resource quantities at the sampled institutions were observed as follows: 1,131 square meters of space, 809 books, 72 musical instruments, and 7 personnel. Subsequent evaluation of the changes in students’ musical performance, pre-and post-implementation, revealed significant improvements. Specifically, the average music performance score in the experimental group increased by 7.32 points, compared to a 6.63-point increase in the control group, with both enhancements statistically significant as per the t-test results. Further, a survey assessing the perceptions of teachers and students towards the newly implemented program indicated that 66.8% of respondents endorsed the revised allocation. Collectively, these findings suggest that the optimized allocation strategy not only facilitated the music education resource distribution but also garnered a positive reception and improved student outcomes in music, thereby contributing constructively to the overarching goal of strengthening the educational infrastructure.

A study of the impact of the two-child welfare policy on the investment cost of urban families’ children’s education--an empirical test based on the HOV model

Abstract In recent years, the aging of the population and the tightening of the labor market have made the relaxation of the two-child policy a pivotal measure to promote population growth. As an essential part of socio-economic development, urban families’ changes in the cost of their children’s education investment under the two-child policy are significant in understanding the policy effect and optimizing the demographic structure. This paper analyzes the impact of the two-child welfare policy on urban families’ education investment costs using the HOV model to provide data support and decision-making reference for policy formulation. The research methods include analyzing the distribution of educational resources, predicting the impact of the two-child policy on the cost of educational investment using the HOV model. The cost of educational investment for urban families increased significantly after the two-child policy was implemented. The average price of educational investment increased by 15%, and the impact was more noticeable for low-income families. The two-child policy is beneficial for population growth but also increases urban families’ educational burden. It is recommended that the Government optimize the relevant welfare policies to reduce the burden on families, and at the same time improve the allocation efficiency of educational resources to ensure the sustainability and fairness of the policy.

The Construction of Informatization System of Internet Technology Mathematics Teacher Education Course

Abstract This paper focuses on constructing a regional digital educational resource sharing platform. It applies optimized ant colony clustering technology to support the platform’s personalized service to achieve accurate distribution of educational resources. The research subjects were undergraduate and graduate students majoring in mathematics in teacher training, and by comparing their teaching abilities before and after using and not using the platform, it was found that the average scores of students using the platform were significantly higher than those of students who did not use the platform on each evaluation factor. Undergraduate students’ information literacy competence improved with the academic year, with first-year students’ scores between 20 and 50, while senior students’ scores between 70 and 100. At the graduate level, the difference between first-year graduate students and junior undergraduates was significant, but the difference with senior undergraduates was slight (p-values of 0.042 and 0.053, respectively). The digital education resource sharing platform effectively improved the teaching ability of teacher students. However, most of the students lacked experience in informatization practice activities.

Research on Business English Education Helping Island Rural Revitalization -- A Case Study of Zhoushan City, Zhejiang Province

In recent years, the Chinese government has vigorously promoted the rural revitalization strategy, aiming to achieve a balanced development of urban and rural social economy and promote common prosperity. The key to rural revitalization lies in talents. With the continuous improvement of Zhoushan's internationalization and opening up, Zhoushan's local foreign language talent pool is facing the dual pressure of quantity and quality, including the inadaptation of the training mode of business English education talents, the serious loss of high-quality talents in business English education and the uneven distribution of educational resources. Based on the current situation of business English education in Zhoushan City, this paper adopts literature research, expert interview, questionnaire survey, field investigation and other research methods. According to the results of questionnaire analysis and regional characteristics, this paper puts forward strategies to improve the business English education system in colleges and universities, strengthen the cooperation between colleges and enterprises, and promote the deep integration of information technology and business English teaching, hoping to provide new development opportunities for business English education to help rural revitalization.

Household Income and Education: An Empirical Research Based on CFPS

In today's fast-paced economy, an increase in income frequently results in improved educational resources. This paper employs an OLS model to examine the relationship between household income and educational attainment. Experiments were conducted with control variables and other steps using data from the 2018 China Family Panel Survey (CFPS), and the results revealed a positive coefficient on the household income variable, providing preliminary evidence that household income has a positive effect on educational attainment, i.e., an increase in household income results in a significant increase in an individual's educational attainment. The purpose of this study is to analyse income and education levels based on individual and household data, to examine the educational base required for future social development, to lay the groundwork for future research, and to suggest that future policies should pay more attention to the distribution of educational resources, as improvements in household conditions can lead to some households falling short of predicted educational levels due to the unequal distribution of educational resources.

Education Informationization and Education Power: The Influence of Fintech on Educational Equity

Purpose Fintech provides material capital for educational investment and holds practical significance for achieving equity in education. Design/Approach/Methods Drawing on the indexes of fintech development and educational inequality, this study uses a variety of methods such as fixed effect models to explore the influence of fintech on education equity. Findings Results show that fintech can significantly advance educational equity, particularly in regions with lower levels of educational input, educational output, and economic development. Mechanism analysis reveals that fintech facilitates the sharing of educational resources through the application of digital financial platforms. It also drives the development of information technologies for education by promoting the creation of new infrastructure. Fintech can strengthen niche marketing and increase the use of financial services to narrow the digital divide, thereby reducing educational inequality. Moreover, fintech indirectly addresses educational inequality by increasing household income, household consumption, and public education expenditure. Originality/Value In the pursuit of educational equity, the positive influence of fintech should be harnessed by increasing investments in new infrastructure creation, advancing fintech e-learning platforms, and promoting the equal distribution of educational resources.

Challenges in Chinas Integration of Rural and Urban Education

The Chinese governments promotion of the integration of urban and rural education is an important measure to solve the problem of urban-rural education imbalance in China. However, there are still some imbalanced issues. Therefore, this article first describes and analyzes the existing imbalances in the construction of educational integration through literature analysis, and then proposes suggestions to address these issues. According to research, there are issues in combining urban and rural education include the loss of students, uneven distribution of educational resources and funds, and gaps in teaching staff. In response to these issues, rural areas need to achieve local urbanization. The government should adhere to the principle of rural priority, evenly allocate education resources and increase investment in education funds. Additionally, government should innovate and improve the rural teacher team. The imbalance in education between urban and rural areas in China can only be resolved in this way, which will also help China better promote the integration of urban and rural education.

대학등록금에 미치는 영향요인과 지역별 차이에 관한 연구

This study analyzes the factors influencing tuition fee increases using spatial regression models. It employs various spatial correlation analysis methods to investigate the geographical correlation of tuition fees among universities and analyzes regional differences and characteristics in tuition fees. To do this, the study focuses on a total of 193 four-year general and education universities and 174 vocational colleges in South Korea in 2022. It observes the concentration tendencies of university distributions using the QGIS program, identifies spatial correlations of university tuition fees through Moran's Index and LISA Index analyses, and finally, utilizes spatial regression models to analyze the factors affecting tuition fee increases. One of the key findings of this research is the identification of spatial correlations among university tuition fees. Tuition fees at adjacent universities are more likely to rise or fall together, and there is a tendency for high tuition fee universities to be geographically concentrated. Additionally, based on prior domestic and international research, this study uncovers internal and external determinants influencing university tuition fees. It uses spatial regression models to specifically analyze and interpret which factors impact tuition fee increases. Admission capacity, freshman competition rate, number of international students, per capita scholarships, dormitory occupancy rate, per capita library resources, and per capita regional total income were confirmed to have a positive (+) impact on university tuition fees, while per capita educational expenses showed a negative (-) impact. The decision to increase university tuition fees should be made by considering multiple factors and should be transparent and fair. To ensure a more equitable distribution of educational resources and prevent excessive economic burdens on students while maintaining educational quality, a fair tuition fee policy should be developed through organic cooperation between the government, universities, and students.

Reconstructing Social Segregation in Danwei: An Examination of High-Quality Education Resources’ Impact on Housing Prices in Nanjing, China

This study investigates the impact of capitalizing educational resources on housing prices. As housing has gradually transitioned from a basic social right to a means of accumulating individual and familial wealth, it has emerged as a significant indicator of social stratification and has increasingly become a crucial tool for the intergenerational reproduction of social class. This paper takes Nanjing, China, as a case study and uses the geographically weighted regression model (GWR) and the hedonic pricing model (HPM) to investigate the impact of high-quality primary schools on housing prices. The results show that high-quality educational resources have become the most significant influencing factor on residential prices in Nanjing. The analysis in the mechanism section further indicates that the uneven distribution of educational resources in China is a continuation of the “danwei” system. Moreover, during the urbanization process, these high-quality educational resources are often leveraged by the government and developers, who see them as essential tools to attract investment and inflate housing prices. Therefore, the current overlap of the school district system and the marketization of housing in China not only intensifies residential segregation within the city, leading to severe residential inequality but also rebuilds social segregation within “danwei” and facilitates its reproduction.

Research on the Psychological Defects of Primary and Middle School Students in Rural Areas

In recent years, China has experienced rapid economic development, but the problem of the uneven distribution of educational resources between urban and rural areas has also emerged. This problem has caused the educational gap and cognitive ability gap between rural children and urban children to gradually become larger, and rural children may even develop psychological problems such as low self-esteem and anxiety. Therefore, the focus of this paper is to study the psychological deficiencies of rural primary and secondary school students due to the unequal distribution of educational resources and the lack of family education. Through literature reading and analysis, this paper draws the following conclusions: the inequality of educational resources and the lack of family education can easily lead to psychological disorders such as low self-esteem, anxiety, and withdrawn personalities in rural primary and secondary school students.

The Introversion of Education: The Landing Dilemma of the Double Reduction Policy and Its Countermeasures

A major issue in today's society is the "double reduction," and some studies have discovered that in recent years, the "education in-volume" has progressively gotten worse, leading to the emergence of school districts with exorbitant rents and the growth of training institutions. The implementation of the "double reduction" program is thus urgently needed. The policy's mechanism and its impacts on the ground, however, are not yet fully understood. The "double reduction" policy's effects and possible responses are the subject of this paper's investigation. The following describes the study methodology used in this paper: first, the author polled primary and secondary school students in Fuzhou on their opinions of the "double reduction" policy's actual implementation impact, level of satisfaction, and potential for improvement. The study's findings demonstrated that the "double reduction" policy may be effectively implemented by constructing a diverse evaluation system and offering many options for students' achievement. The study's findings demonstrate that the "double reduction" has a favorable effect on reducing the load on students and parents and can successfully address issues with the "school district" and uneven distribution of educational resources.

Optimizing Spatial Location and Service Capacity of New Schools Toward Maximum Equity in the Distribution of Educational Resources

Educational facilities are an important part of public service facilities. The scientific planning of educational facilities is conducive to the optimal allocation of educational resources and the equalization of educational services. In view of the insufficient supply and uneven spatial distribution of urban educational service facilities, this study adopted an improved two-step optimization method to maximize the equality of school accessibility by optimizing the spatial location and service capacity of urban primary schools. First, the improved p-median model was constructed, and the Teitz–Bart algorithm was used to solve the model to site new primary schools. Second, a quadratic programming method was used to optimize the service capacity of new primary schools. Finally, the two-step floating catchment area (2SFCA) method was used to analyze and evaluate the accessibility of population centers to schools before and after the site selection and service capacity optimization of new schools. The results show that the improved two-step optimization approach can effectively determine the best locations and service capacity of new schools to improve the spatial accessibility of schools and realize the fair distribution of educational resources.

Gender Equity in the Distribution of Educational Resources in Higher Education in China

Since the expansion of college enrollment in 1999, the proportion of women in higher education has been increasing, and the gender structure of college students has become more balanced. However, even with the same higher education, male and female students will be treated differently due to gender differences. This article through gender differences in access to higher education, the gender stereotypes in higher education and the gender difference in graduate employment choices in China to figure out to what extent gender equity is in the distribution of educational resources in higher education in China. Female students face more obstacles and challenges than male students when pursuing higher education or looking for a job as a result of the traditional idea and stereotypes of females in society. In addition, the expectations and influences of families on their children, and physiological factors brought on by their gender also cause the situation. The allocation of resources for higher education is still disproportionately devoted to men.

Exploring the Causes and Solution of the Unequal Educational Problem in Different Regions of China

Nowadays, an increasing number of people are still attentive to educational issues. In respect of this issue, some researchers have found that economic level and social class in different regions of China have a significant impact on the distribution of education. However, there is a lack of unified explanation and development of the underlying contributing factors and the solutions that can solve the problem. Therefore, the main focus of this essay is a review of the research on China's uneven distribution of educational resources. The research design of this paper is as follows: Firstly, the author will collect the economic level and education distribution resource data of different regions in China. Second, the author will review existing literature, combine and analyze it with data to identify potential factors that contribute to the inequitable allocation of educational resources in China, and propose solutions to this problem. According to the findings of this review, most scholars believe that the issue of education inequality among urban and rural areas seems to be more serious, and there are many pieces of literature in this regard. However, we should pay attention to the fact that the existing literature still lacks practical application and unified theoretical support. Therefore, in the future education development, the Chinese government should provide more economic and psychological help for some poor areas, so as to achieve the ultimate goal of national education equality.

Multimedia Technology Based Interactive Translation Learning for Students

Multimedia technology incorporates into the educational arena to translate traditional educational material into interactive digital mode. This has permitted teachers into the learning environment to design and integrate interactive multimedia learning. Many problems towards giving more attention to students facing teacher's multimedia levels are uneven, and their integration significance, bringing enormous curriculum learning strategies, is not entirely apparent. This research introduces multimedia network interpretation teaching using machine learning (MNIT-ML)in multimedia education design to enhance and strengthen the traditional teaching process and promote various modern approaches to transmit knowledge towards students.Allocation of learning resources (ALR) framework is mainly to enlarge the use and utilization of materials for learning activities from impressed resources into recordings, video content, motion graphics, and other forms of resources. The purpose of the Allocation of Learning Resources (ALR) framework is to aid teachers in making sound decisions about how to distribute available educational materials. Its goal is to guide teachers in making smart choices about how to use limited resources like time, money, and technology in order to improve students' educational achievements. The ALR framework was picked because it offers a methodical strategy for selecting choices that is founded in educational research and best practices. Resource allocation is a key aspect in influencing student outcomes, and efficient allocation can help guarantee that all students have access to the tools they need to succeed. There are a number of alternative frameworks that might direct studies on the distribution of educational resources. The Technological Acceptance Model (TAM) is a common tool for analysing what factors lead to widespread implementation of educational technology. The goal of other frameworks like the Universal Design for Learning (UDL) framework is to help educators create lessons and methods that are inclusive of students of all backgrounds and abilities. The final decision on which framework to use will be determined by the nature of the research issues and the setting in which they are being investigated. In order to make educated decisions, it is crucial to pick a framework that is appropriate for the research issues at hand and that gives a systematic approach based on established educational best practices. The digital promoting resources for teaching (DPRT) method creates a real environment for students to learn, focusing on enhancing training to make students feel the standard language translation skills. The simulation analysis is performed based on security 94.6%, the performance of 95.9%, and privacy, proving the proposed framework's reliability overall ratio of 93.4%.

Towards Attainment of Kenya Certificate for Secondary Education: Role of School Culture in Kenya By

Empirical research revealed that Kenya is experiencing poor performance in the Kenya Certificate for Secondary Education (KCSE) within the context of subsidized secondary education adopted in 2008. School culture has been considered a central concept that changes how schools operate, improve educational results and is heavily influenced by its institutional norms and history which could be an obstacle to over all performances. The purpose of the study therefore was to determine school culture and its influence on KCSE attainment in Nandi Central Sub County Kenya. The study was guided by the following objectives: To establish form(s) of culture(s) that is/are practiced. To determine the relationship between school motto, vision, mission statement, to determine the relationship between school rules, regulations and the attainment of KCSE in public secondary schools in Kenya and to establish the relationship between Internal assessment exams and attainment of KCSE in public secondary schools in Kenya. This study adopted convergent triangulation mixed method research design; Pragmatic philosophical paradigm was employed. This study was guided by dual factor theory by Fredrick Herzberg 1957. The study was conducted in Nandi Central Sub-County, Nandi County involving 20 secondary schools. There were 352 respondents comprising of 20 principals, 81 form four class teachers and 251 form four students selected using simple random, stratified sampling and purposive technique.. The data from the study was collected using questionnaires, interview, document analysis and direct observation. Data generated from this study was both quantitative and qualitative. Analysis of quantitative data involved, use of inferential statistical analysis where data was coded and entered into a Statistical Package for Social Sciences (SPSS) version 26. In qualitative approach, data was analyzed thematically by organizing themes corresponding to the study objectives. The study revealed that, there was a statistically significant relationship between forms of cultures practiced and attainment of KCSE in Kenya (p=0.019<0.05). School motto, vision and mission statement is statistically significantly associated with attainment of KCSE in Kenya (X2=93.572, p=0.000<0.05). School rules, regulations, policies are statistically significantly associated with attainment of KCSE in Kenya (X2=16.083, p=0.003<0.05). Regular internal assessment exams are statistically significantly associated with attainment of KCSE in Kenya (X2=14.821, p=0.005<0.05). The study concluded that forms of culture practiced in schools include; equal distribution of educational resources and learning opportunities, made students and staff feel emotionally and physically safe, high concern for staff/students combined with strong performance expectations and being centered on performance with little regard for staff and students. School motto, vision, mission statement should spell out the purpose of the school, create a new and deeper relationship among students and staff and consist of a new-defined ideology of the school, for example fundamental values and beliefs. Set rules and regulations direct student’s social and academic discipline that translates into performance by guiding student’s behaviors. The study recommends that schools should ensure that their school motto, vision, mission statement spell out the purpose of the school and this would create a new and deeper relationship among students and staff.