Allocation Of Educational Resources Research Articles

The Evolution of Multicultural Education and its Impact on Immigrant Education in the United States

Multiculturalism has long defined the intricate fabric of the United States, woven through centuries of diverse immigration, cultural interactions, and social movements. Yet, contemporary challenges persist despite strides made in acknowledging diversity. Nativist sentiments, political polarization, and instances of discrimination underline the urgency for ongoing efforts in promoting multicultural education to foster empathy and respect among diverse communities. This article traces the historical trajectory of multicultural education in the United States, exploring its impact on immigrant education across five distinct stages. By scrutinizing the system's evolution and challenges, it equips educators and policymakers to navigate cultural diversity in educational settings more inclusively. This study found that while the evolution of multicultural education in the United States showcases progress, persistent challenges persist. Overcoming these demands a multifaceted approach, including a reevaluation of educational paradigms, policies, and resource allocation.

Preschool Teacher Development in China: Insights from Japan and South Korea’s Responses to Population Aging

With the declining birth rate and the exacerbation of aging in China, the construction of preschool education teacher programs faces unprecedented challenges. To address these challenges, it is imperative to draw insights from the successful experiences and lessons of Japan and South Korea. Both countries have adopted different strategies in response to their population crises, particularly in the realm of preschool education teacher development. By conducting a comparative analysis of these strategies, the commonalities and differences can be identified. An urgent task is to improve the provision of nursery services for children under three years old, enhance incentives for childbirth, and establish an early warning mechanism for population trends to optimize the allocation of educational resources. Additionally, efforts should focus on enhancing the quality of teachers and expanding employment opportunities to mitigate the impact of the population crisis on the high-quality and balanced development of preschool education teachers.

Research on Spatial Planning Layout of Inclusive Pre-school Education Resources in Chengdu City

With the population gathering in urban centers, the spatial distribution of preschool education resources is becoming increasingly important. Families want their children to receive education at the kindergartens located near their homes. Public kindergartens and inclusive private kindergartens recognized by districts (cities) and counties are important components of the public preschool education system. In 2012, the State Council published the "Twelfth Five-Year Plan for the National Basic Public Service System", which first clarified the concept definition of basic public services, that is, services provided by the government based on social consensus, in line with the level of social and economic development, and aimed at meeting the survival and development needs of all citizens. Therefore, it can be judged that preschool education is an important basic public service. To solve the current problem of unreasonable spatial distribution of preschool education resources, Chengdu has proposed the goal of building a "15-minute preschool education service circle", by rational planning and layout, to increase the coverage and utilization rate of preschool education resources, and meet the needs of families for preschool education. This study, through analyzing the new trends of population mobility in various districts (cities) and counties in Chengdu and the allocation of preschool education resources, found that the coverage rate of inclusive kindergartens in Chengdu has reached more than 85%, and the proportion of children in public kindergartens has basically reached 50%.

China's education sector: Investigating factors to improve business operational efficiency in a highly competitive environment

The purpose of this study is to investigate the human factor, organisational factor, and political factor for enhancing business operational efficiency in a highly competitive environment in China's education sector. On a global scale, China has garnered recognition for its achievements in the field of education. However, there are significant differences in higher education resource allocation among the many Chinese provinces as a result of the pursuit of scale and speed, as well as unequal development across the country. Therefore, there is a need to investigate the factors that influence the operational efficiency of the Chinese educational sector in a highly competitive environment. A cross-sectional design was utilised to conduct an online survey with 121 education sector employees. According to the findings, the organisational factor is the strongest predictor of business operational efficiency, followed by the political factor. The human factor, however, was not a significant predictor. This study discovered that changes in organisational and political factors can have an impact on the operational efficiency of any educational sector. As a result, it is suggested that clear reporting and an organised hierarchical structure be implemented across all departments. As a result, the educational institute will be able to maintain its business operational efficiency more easily.

RETURNS TO EDUCATION UNDER THE HUKOU SYSTEM: WHAT IS THE ROLE OF SCHOOL TYPE?

Purpose – Estimating the gap in returns to education between China’s urban and rural areas based solely on education attainment can be misleading, especially when there are significant differences in the allocation of educational resources between urban and rural areas. This paper explores the relationship between school types, primarily representing the educational resources available in China, and education returns in urban and rural China under the Hukou system.Methodology – This paper used data from the 2013 Chinese Household Income Project (CHIP) and applied the OLS method to estimate the traditional Mincer and extended models by adding school types.Results – Firstly, we found that school types significantly impact income, and different types of schools have different returns on education. The returns to school type increase with the geographical administrative level of the school. In addition, in most cases, the impact of key schools on the income of urban people is more significant than that of rural people. Secondly, when we consider the effect of school type on income, the gap in education returns between non-agricultural Hukou groups and agricultural Hukou groups is widened compared to the results under the traditional Mincer model. Finally, migration does not appear to have brought the desired improvement to their education, with the returns to education for migrants being significantly lower than rural in some cases.Implications – For individuals, especially those rural Hukou holders, investment in education should be strengthened to improve access to key schools. Providing equal access to quality education and reducing educational disparities between urban and rural areas is essential for the government.Originality/Value – The results highlight the role of inequality in the allocation of educational resources and the inequality of educational opportunities among the groups with different Hukou statuses and also show that migrating to urban areas may place migrants in a more adverse environment.

Research on the Cultivation Mechanism of Innovation and Entrepreneurship Ability of Excellent Engineers

Abstract In this paper, after using PSO algorithm to encode the information on innovation and entrepreneurship education resources in universities, N particle is randomly generated to form the initial population, and it is also necessary to continuously update the particles to carry out the adjustment of the initial population size. The mathematical model of hard constraints of all courses of innovation and entrepreneurship teaching is obtained through the fitness function, on the basis of which, according to the objective function of innovation and entrepreneurship education resources in universities, each kind of resource is effectively allocated to the most adapted aspects, so as to realize the optimal allocation of innovation and entrepreneurship education resources in universities. Based on the current situation of innovation and entrepreneurship education at the Polytechnic Institute of Zhejiang University, the research hypothesis and research design are proposed, and the utilization efficiency and allocation efficiency of innovation and entrepreneurship education resources are confirmed and analyzed. The results show that before the experiment, there was a large difference in resource allocation efficiency between groups; the minimum value was 0.123, and the maximum value was 0.187. After optimization, the allocation efficiency is 0.188, with an average growth rate of 19.55%. That is, the PSO algorithm can achieve the optimization of innovation and entrepreneurship education resource allocation at the Polytechnic Institute of Zhejiang University. The four dimensions of innovation and entrepreneurship education: theoretical education, practical education, teacher quality, educational support and initiative personality of the three dimensions, motivation, change and resilience are in the presence of each other in the middle of the work, and the correlation coefficient is concentrated in the role of 0.5 on average. This study further stimulates the students passion for innovation and entrepreneurship, which is of great significance to the cultivation of students innovation and entrepreneurship abilities.

Empirical Analysis of Civic Parenting in Colleges and Universities Combining Students’ Psychological Cognitive Characteristics

Abstract This paper establishes a psychological cognition-based model of Civic Education and obtains a basic training corpus through contour coefficients, which is preprocessed according to the basic classification criteria. Based on the Chinese participle classifier, a data mining algorithm was used to identify the standardized labels in the text. In the test application stage, the overall scope of course recommendations is set, and the best teaching program is produced according to the degree of influence of teaching quality. The teaching evaluation system’s performance can be improved by using gray correlation based on user feedback on classification results. In the analysis of correlation and influence factors, students focus on learning Introduction to the Fundamental Principles of Marxism and Mao Zedong Thought, with a learning rate of 93.3%, and the weight value of the combination of teaching and research business force and teaching reform is higher than the standard of 0.6. The loading value of curriculum setting and educational resource allocation is 0.865 and 0.898, respectively. Colleges and universities can enhance their teaching programs by integrating students’ psycho-cognitive characteristics.

A Study on the Influence of Economic Policy on Fertility Reduction and the Countermeasures Based on China and Foreign Policy

It has been confirmed that China's fertility rate has fallen below the fifth lowest globally and has fully entered the low fertility trap. There is an urgent need to increase the fertility rate. This paper mainly studies the causes of the gradual decline in fertility in China in recent years. It compares the subsidy measures taken by various countries to cope with the low fertility rate. It compares the living cost and economic policy system in China to analyze how China should raise the fertility rate. Through the analysis and summary of the literature, it is found that the reasons for the decrease in China's fertility rate year by year are that the explicit and implicit costs of birth and raising are too high, and the allocation of educational resources is unfair, resulting in low social identity and low happiness. With the gradual decrease of the fertility rate, the population structure changes, and the risk increases, making it difficult for the fertility rate to return to normal. Therefore, China should follow the Nordic countries' policies on parenting costs and social welfare, favor multi-child families, reduce parenting costs after childbirth, improve family happiness, and introduce economic support policies for child-rearing. At the same time, China should avoid the policy risk of "only giving money" and avoid the ineffective phenomenon of increasing welfare but declining fertility rates instead of rising.

Analysis the Quality of Human Resources and the Effectiveness of Higher Education Management on Student Academic Performance at Universities in Samarinda, East Kalimantan

This study's primary focus is on how much a college in Samarinda, East Kalimantan, impacts students' academic achievement in relation to the calibre of its human resources and the efficiency of its administration. This quantitative study explores the impact of human resource quality and college management effectiveness on student academic performance in universities located in Samarinda, East Kalimantan, Indonesia. The research sample included 100 participants representing students, academic staff, and administrative personnel. Data were collected through surveys and academic records, and the analysis was conducted using Structural Equation Modeling (SEM) with Partial Least Squares (PLS) path modeling. The results indicate that both "Higher Education Management" and "Quality of Human Resources" significantly predict "Student Academic Performance." Participants across stakeholder groups generally held positive perceptions of higher education management and human resource quality. The findings underscore the importance of effective management and quality human resources in enhancing student academic outcomes. This research contributes valuable insights for higher education institutions in Samarinda and policymakers aiming to improve the quality of higher education management and resource allocation. It also suggests potential directions for future research in the field.

The Fairness of School Education in China and Its Countermeasures

This paper studies the background of Chinas educational equity and the problems and solutions of Chinese school education. Using the method of literature review, the research results of scholars at home and abroad are integrated, and the field is systematically sorted out and analyzed. The study found that the problems faced by Chinese education mainly include the inequality of regional education development and the inequality of urban and rural education. There are differences in the allocation of educational resources in different regions, resulting in insufficient education quality and opportunities in some regions, which in turn exacerbates the problem of educational inequality. Secondly, the inequality of urban and rural education is also a major problem of education fairness in our China. Due to the uneven distribution of urban and rural economic development and resources, rural education conditions are relatively poor, and students have limited learning opportunities and resources, resulting in a widening urban-rural education gap. country place. In response to these problems, this study proposes solutions to deepen reform and promote educational equity. Through literature review and analysis of the problems existing in our Chinese education, put forward corresponding solutions, and make corresponding efforts to promote educational equity.

Analysis of the Causes and Countermeasures of the Involution of Family Education in China

The involution of family education is a significant issue in China’s current basic education and has brought certain heavy burdens and negative impacts to both parents and students. Using the desk research method, this paper describes the manifestations of family capital embeddedness in the process of family education involution, analyzes its causes, and explores countermeasures to address it. The study suggests changing traditional social concepts and regulating the governance of out-of-school educational institutions, balancing the allocation of educational resources among schools, reforming the evaluation mechanism of school education, and enhancing parental cognitive levels and abilities to make rational decisions about education.

Research on the optimal allocation of resources for innovation and entrepreneurial education in universities in the context of deep learning

Abstract Optimizing educational resource allocation will undoubtedly influence how universities construct their entrepreneurship and innovation curricula. In this study, we examine innovation and entrepreneurial education, allocate educational resources, and choose neural network methods related to deep learning. The convolutional neural network algorithm is studied in four stages: the convolutional layer, the pooling layer, the activation function, and the fully connected layer. The convolutional neural network model uses backpropagation to adjust the output parameters’ divergence from the ideal values, adjust and update the weight parameters, and confirm the computational layer data and hidden layer data from the propagation process. The DEA algorithm is reviewed to enhance and evaluate the resource allocation for innovation and entrepreneurial education at universities, and a DEA-BPNN efficiency assessment technique is created. The complete quality of students has a strong positive association with the effectiveness of allocating resources for entrepreneurship and innovation education. The efficiency of deploying resources for innovation and entrepreneurial education increases by 0.0512 per unit improvement in student quality.

An investigation into the optimal allocation of resources for China's universities to participate in global education governance based on queuing theory

Abstract Queuing theory is used to classify the regularity of educational resource allocation by hierarchy in this paper. The Poisson distribution is used to label the resource queue interval parameters to obtain the expected value of individual queues. The average delay of each class of packets can be reasonably predicted by concatenating individual resources using the Lagrange multiplier algorithm. The load balancing algorithm in each queueing series calculates the average arrival rate of task requests to achieve an optimal model design. The results show that, under the guidance of queuing theory, the coefficient of variance in the participation of Chinese university students in global education governance is reduced by 0.25% on average, and the average of comprehensive efficiency reaches about 1.01%, which realizes the optimal and reasonable allocation of resources.

Analysis of Regional Differences in Teacher Resources in Secondary Vocational Schools in the Context of Beijing-Tianjin-Hebei Synergy

Under the background of beijing-Tianjin-Hebei coordinated development, the allocation of secondary vocational education resources has been deeply affected.Firstly, based on the relevant data of teachers' educational resources in Beijing, Tianjin and Hebei secondary vocational Firstly, based on the relevant data of teachers' educational resources in Beijing, Tianjin and Hebei secondary vocational schools in 2020, this paper defines each index of resource allocation in Beijing, Tianjin and Hebei secondary vocational schools. Secondly, the coefficient of variation method is used to calculate and analyze the related factors that affect the educational resources of secondary vocational schools. Finally, optimization strategies are proposed for the unbalanced resource allocation of teachers in Beijing-Tianjin-Hebei secondary In addition, the Joint Committee also recommends that the Government of the Republic of China (RDC), in cooperation with the Ministry of Education of the Republic of China and the Ministry of Education of the People's Republic of China (MEC), should consider the possibility of establishing a new system of education for teachers. reference for the establishment of modern vocational education system and optimization of resource allocation in first-class vocational education in The aim of this study is to provide a comprehensive overview of the development of vocational education in the Beijing-Tianjin-Hebei region.

A Brief Analysis of the Implementation Mode of Virtual-Reality Integration Experiments in Electronic Technology

Electronic technology encompasses a wide range of knowledge areas, which can be somewhat dispersed. There are certain pain points in terms of course organization, teaching team composition, and the allocation of teaching hardware facilities. Traditional hands-on courses in electronic technology heavily rely on real-world experimental environments. If offline teaching cannot be conducted, it can significantly affect the quality of course delivery. Therefore, leveraging virtual laboratory technology to achieve a combination of virtual and real-world experiments becomes essential. This approach enhances the diversity of teaching methods, effectively alleviates the teaching burden, and aims to achieve the rational allocation of teaching resources and enhance teaching effectiveness.

Exploration of the Application of Information Technology in the Teaching of Ideological and Political Theory Courses in Colleges and Universities

This study aims to explore the current situation and optimisation strategies of the use of information technology in the teaching of ideological and political theory courses in colleges and universities. Under the background of the information society, the education field is facing the major challenges of how to use modern information technology to improve the quality of education, optimise the allocation of educational resources and enhance the learning effect of students. Through a combination of literature analysis, empirical analysis and case study, this study thoroughly analyses the specific application, practical effects and optimization strategies of information technology in the teaching of ideological and political theory in colleges and universities. This study aims to provide theoretical basis and practical reference for the teaching reform of ideological and political theory courses in colleges and universities, with a view to promoting the improvement of teaching quality.

Convergence and Disparities in Higher Education Fiscal Expenditures in China: A Regional Perspective

This research investigates the disparities and convergence in higher education fiscal expenditures across different regions in China. The study utilises Gini coefficient analysis and σ-convergence/β-convergence tests to quantify the extent of disparities and explore convergence trends over a twelve-year investigation period (2007–2018). The results shed light on the imbalances in resource allocation and provide valuable insights into the efforts required to achieve a more equitable distribution of fiscal resources for higher education. The findings reveal significant disparities in higher education fiscal expenditures between the Eastern, Central, Western, and Northeastern regions, with the Eastern region exhibiting the largest gap compared to others. Remarkably, the disparity between the Eastern and Central regions is even greater than that between the Eastern and Western regions, emphasising the need for targeted interventions to address regional imbalances. Over the study period, the gap between the Eastern and Central regions remained consistently higher than other regional disparities. Moreover, the research shows a general trend towards narrowing regional fiscal expenditure disparities, with the most pronounced convergence observed between the Central and Northeastern regions. The Western region exhibits slightly larger disparities than the Central and Northeastern regions, possibly attributed to greater fiscal policy support and lower student enrollments. Nevertheless, the fiscal expenditure gap between the Western and Central regions has shown a trend towards reduction. The study also explores absolute and conditional β-convergence, revealing notable convergence patterns in the Eastern and Central regions. However, the Western and Northeastern regions exhibit varying degrees of convergence, indicating the necessity for region-specific convergence mechanisms. To achieve a balanced allocation of financial resources for higher education across regions, the study recommends targeted fiscal policies, additional funding, and improved transparency and accountability. Policymakers should focus on enhancing convergence mechanisms to ensure a more equitable distribution of resources and foster the sustainable development of higher education throughout the country. While this research provides valuable insights, it is essential to consider other potential factors influencing fiscal expenditure disparities, such as policy orientation, economic disparities, and demographic structures, for a more comprehensive understanding. Future research may benefit from qualitative investigations to further explore the complexities of higher education fiscal expenditure imbalances and identify effective policy interventions.

Designing a Decision Support System for Educational Resource Allocation

The effective allocation of educational resources is crucial for enhancing the quality of education. This study explores the development and application of a decision support system (DSS) using the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method. Various entities are evaluated based on a set of critical criteria. Using the TOPSIS approach, entities were systematically ranked, offering a clear directive for optimal resource allocation. This study provides a significant tool for resource management, offering a transparent, objective, and data-driven process. However, DSS should complement other qualitative and contextual considerations in the decision-making process. Future research directions include the integration of temporal data, broadening the set of criteria, and the inclusion of machine learning for dynamic decision-making. Ultimately, this study underscores the value of systematic and data-driven processes in resource allocation, contributing to the improvement of the quality of education

Experiential Learning Practices and Career Courses: Predictors of First Destination Outcomes

This study examined connections between experiential learning practices, mandatory career courses, and positive first destination outcomes of graduates from a large public institution prior to and during the COVID-19 pandemic. The rising cost of education and competition among universities has led to consumer demands for information pertaining to their return on investment. Universities have been encouraged to provide first-destination outcomes for graduates as a way to show the value of their degree programs. To strengthen these outcomes, many programs encourage or mandate experiential learning known as high-impact practices (HIPs) and career courses to prepare emerging adult learners for the transition to employment or further education. However, little is known as to the impact these practices have on the first-destination outcomes of these graduating students. This study identified specific experiential practices which proved beneficial to securing employment or acceptance to continued education, with an important caveat that career courses added only limited benefit for some respondents. These findings will better inform the allocation of university teaching resources and are a basis for further study of career practices in higher education.

Understanding parental agency in family language policies from language-as-resource ideology perspective: the case of three Shanghainese families

ABSTRACT This study investigated three local Shanghainese families’ family language policy with a special focus on understanding parental agency through the perspective of parents’ language ideology. Data for this study came from semi-structured interviews with one parent from each family. A process combining deductive and inductive analysis captured the (sub)dimensions of language-as-resource ideology identified from the parents’ data, followed by relating their language-as-resource ideology to the identified language practice and language management. The study found that parental agentic efforts are carried out on two levels: the negotiations of the family linguistic environment and the allocation of educational resources for language learning. The study further argues that the parental agency is essentially parents’ conscious decision-making on whether to follow, alter, or complement the linguistic environment that the larger society offers for the children’s multilingual development. Parents’ ideological beliefs on what kind of language resources they wish their children to obtain, prioritising accessing social resources and citizenship resources, guide the negotiating process. The study supports elevating the status of Fangyan in Chinese society, and also suggests expanding parents’ understanding of language resources, especially from the perspectives of families and individuals.