Allocation Of Educational Resources Research Articles

Impact of Urban Expansion on School Quality in Compulsory Education: A Spatio-Temporal Study of Dalian, China

With rapid urbanization, improving school quality in compulsory education is critical for optimal educational resource allocation. This study integrates a random forest machine learning model, GIS spatial analysis, and a spatial econometric model to examine the spatiotemporal differentiation of school quality in Dalian, China, in 2016 and 2020, as well as its relationships with the construction land development cycle, population density, and housing prices. The findings reveal a core–periphery structure, with overall school quality on the rise and basic facility configuration exerting a stronger impact than teacher strength. Among internal resources, per capita sports venue area (PCSFA) and per capita teaching equipment value (PCTRE) contribute most significantly to school quality, while high-quality clusters in traditional educational hubs, university-covered areas, and transitional zones spur improvements in surrounding schools. The population density, housing prices, and the construction land development cycle all positively correlate with school quality, highlighting the need for coordinated action among urban planners, education authorities, and housing regulators to ensure that land development, housing affordability, and school facility investments advance equitable access to quality education. These results provide a novel perspective on compulsory education quality assessment and offer a valuable foundation for guiding education policies and urban development strategies.

Improving Liberal Arts Curriculum through Analyzing the Perceptions Gaps and Priority Setting in Core Competencies between Faculties and Students : A Case Study of G University

This study aimed to analyze the perception gaps in core competencies between faculty and students and derive improvements for the liberal arts curriculum from the perspective of developing new competencies required in the Fourth Industrial Revolution era. The study investigated faculty and student perceptions of sub-competencies under G University's six core competencies. The participants included 103 faculties and 213 students. An online survey was conducted from May to July 2023. The analysis was performed using Borich's needs assessment and The Locus for Focus model. The study analyzed differences in importance-performance perceptions of core competencies between faculties and students and identified competencies requiring priority improvement. The results showed that faculty emphasized fundamental and essential competencies such as empathy, creativity, and thinking skills, while students placed more importance on practical competencies like knowledge information utilization, self-directed learning, and foreign language skills. There were significant gaps between current and target levels in competencies that faculties’ considered important. Faculties showed high educational needs in the order of empathy> creativity>thinking skills>ethical awareness>knowledge information utilization>responsibility, while students' educational needs were high in the order of knowledge information utilization>creativity>self- direction>decision-making>community citizenship> foreign language utilization. This study is significant in that it empirically identified perception gaps between faculties and students regarding core competencies and provided practical evidence for efficient allocation of limited educational resources. Based on the findings, the study suggests practical measures including curriculum design considering faculty-student perception gaps, establishment of integrated competency assessment systems, improvement of practical teaching-learning methods, and institutional support for these improvements.

Education Inequality in China between Rural and Urban Area

Education inequality is a pressing and undeniable social issue in China, where disparities in educational opportunities and resources are starkly evident between urban and rural regions. Public policies and societal perceptions significantly influence the allocation of educational resources, resulting in a polarized educational landscape. This essay aims to delve into the intricacies of educational stratification caused by various policies, utilizing a Quantitative Methodological approach to address three pivotal questions. Firstly, it seeks to identify the key factors contributing to the unequal distribution of educational opportunities and resources across the country. Secondly, the essay will explore the profound impact of educational inequality on the socio-economic development of both urban and rural areas in China. Thirdly, the effectiveness of government initiatives aimed at redistributing resources to bridge these educational gaps will be scrutinized. This includes evaluating the success of policies such as the “Two Sessions” system, which aims to provide equal access to quality education for all children, regardless of their geographical location or socio-economic background. By addressing these questions, the essay will conclude that while education inequality is indeed a pervasive issue in China, there is a critical need to understand the root causes and impacts to develop targeted and effective solutions. It will highlight that the provinces with the greatest demand for educational resources are often those that are most underserved, emphasizing the urgency for policy reform and resource reallocation to ensure equitable educational opportunities for all.

The Economic Impact of Income Inequality in Eastern, Central and Western China

It is important to address one of the most common problems in economics for decades, which has been the global wealth inequality, and to promote common economic prosperity and balanced economic growth. This research examines the various impacts of income inequality on economic growth in Eastern China, and compares it with economic development in Central and Western China. Shanghai, Suzhou and Hangzhou in Eastern China have experienced significant economic transformation, but this has also exacerbated the unequal distribution of wealth and income. By analyzing economic growth, infrastructure investment, and the allocation of educational resources across regions, this paper emphasizes how these elements lead to significant economic inequalities among the Eastern, Central, and Western China. Furthermore, the paper investigates the adverse financial impacts of income inequality on consumer demand, social stability, and labor force utilization, and provides policy suggestions for fostering common prosperity and more balanced economic growth. In short, it is necessary to achieve more inclusive and sustainable economic growth through more balanced regional development policies.

A Comprehensive Review of Reinforcement Learning in Intelligent Allocation and Optimization of Educational Resources

Educational resource imbalances pose considerable barriers to accomplishing equitable opportunities to learn worldwide. Traditional approaches to resource allocation frequently fail to adapt to the ever-changing and intricate needs of educational systems, exacerbating disparities. This paper explores applying reinforcement learning (RL) in optimizing how resources in education are distributed and used, offering a promising solution to these hurdles. The analysis delves into fundamental RL concepts and algorithms, like deep reinforcement learning and multi-agent reinforcement learning, and investigates their applications in customized learning, scheduling resources, and promoting fairness. It highlights major difficulties such as information quality, scalability, fairness, and transparency, along with possibilities for innovation through blended methodologies and instant decision making. By combining existing research and distinguishing critical gaps, this study provides practical insights for advancing RL applications in education, paving the way for more inclusive and effective systems for managing resources.

Research on the Application of the Internet of Things in Optimizing the Allocation of Ideological and Political Education Resources Using Machine Learning

This paper evaluates the application of the Internet of Things (IoT) in designing smart teaching systems by optimizing ideological and political education (IPE) resources using machine learning (ML). To increase educational reform’s efficacy, we also examine the issues with conventional IPE instruction. This study further develops a cutting-edge, smart framework for teaching ideological and political concepts in the educational setting and changes teaching according to real-life scenarios. Comprising the perception, network, and application stages, the IPE platform is a three-layer IoT architecture. The IoT and internet connections are used by the technology to receive effective IPE instructional activity information in real time. After that, the data are sent over the internet to the data center, where it is used as the initial information for applications, analysis of information, and modeling training. We are able to collect and acquire IPE teaching activity data sets on instructive and educational developments in courses by using IoT devices. The principal component analysis (PCA) approach is used to remove interface characteristics, date, and time elements from the data to increase the evaluation’s correctness. To remove noisy information from the data, the z-score normalization method is used. In addition, this paper suggests a novel efficient Cat Boost method inspired by hunter–prey optimization (AHPO-ECB) for evaluating IPE performance. In this case, the AHPO approach is employed to reduce the misprediction rate of the CB. The suggested model is then used to analyze the predicted performance using a Python program. The results of the experiments indicate that, in comparison to other models currently in use, the suggested AHPO-ECB model performs at the highest level when assessing IPE teaching performance.

Modeling and Analysis of College English from the Perspective of Connected Intelligent Algorithms

To explore the realm of English education through contemporary advancements in artificial intelligence (AI), language education methods have developed significantly traditional approaches that usually have trouble with individualized learning needs and cannot handle diverse proficiency levels. This paper reveals the most prominent problem of inefficiency and non-personalized learning experiences in college English as a significant concern in the existing literature. In response, it suggests a novel method called Artificial Intelligence based English Teaching Method (AI-ETM). It has linked intelligent algorithms that can dynamically adapt teaching strategies and learning materials according to individual student’s needs, rate of comprehension and proficiency levels. The main aim of AI-ETM is to integrate AI technologies with hybrid particle swarm optimization (PSO) into English language teaching to improve effectiveness and efficiency and provide personalized learning experiences for students. This paper expects several outcomes from the implementation of AI-ETM. Among these is enhanced student engagement and motivation due to personalized learning experiences customized according to personal preferences and level of competence. Additionally, AI-ETM is expected to improve learning outcomes by offering targeted feedback and adaptive learning resources. This paper suggests that once AI-ETM is introduced, efficiency in delivering language instruction services will improve, thereby optimizing the allocation of educational resources.

A001: Research on the Physical Education Teaching Model of Professional Physical Fitness for Navigation Majors

Research Purpose: Due to the unique working environment of seagoing vessels, the physical and mental health of crew members is put to special tests. This requires students majoring in navigation not only to have basic vocational and technical abilities, but also to have physical fitness to adapt to future work environments. Research methods: This study used literature review, survey interviews, and logic analysis to analyze the physical fitness required for seafarers to work and live on ships. Research results: 1. Choose activities that meet the basic professional needs of seafarers, such as swimming, high-altitude diving, and surface survival, to exercise their ability to self-rescue in water. 2. Choose activities that meet professional physical fitness, such as yoga, Tai Chi, table tennis, soft net climbing, race walking, long-distance running, pull-up, etc., to exercise attention, concentration, upper and lower limb strength endurance, and cardiopulmonary endurance. Indeed, good cardiovascular endurance plays an important supporting role in responding to emergencies or shipwreck situations. 3. Based on the purpose of protecting seafarers' occupational labor, carrying out teaching on body posture, such as climbing steep gangways, bending down to carry heavy objects, etc. 4. Carrying out psychological counseling for the prevention and treatment of occupational psychological diseases among seafarers, adding content such as self-psychological suggestion and insomnia treatment. 5. The teaching process control shall comply with the provisions of the "Management Rules for Crew Training of the People's Republic of China" and the "Quality Management Rules for Crew Education and Training of the People's Republic of China", and always comply with the value orientation and standards in the crew education and training quality management system. 6. Teaching assessment and evaluation must comply with the rules of the "Quality Management Rules for Crew Education and Training of the People's Republic of China" and the "International Seafarer Training, Certification, and Watchkeeping Standards Convention (STCW78/95 Convention), and the assessment indicators shall be quantified based on the principles of the scientific method and operability. Conclusion: Vocational colleges have varying levels of understanding and emphasis on professional physical fitness, and variability in the allocation of teaching resources. Under limited resources, it is recommended to establish a vocational physical fitness teaching model that is tailored to local conditions, adjusting it according to the original traditional physical education teaching model, listen to feedback and continuously optimize it in practice, and form a characteristic physical education teaching model that meets the school's and students' professional development.

Poverty Alleviation Through Education: China's Concrete Actions, Historical Achievements and Successful Experiences

Poverty has been a global challenge since ancient times, which has seriously hindered the process of modernization and the cause of fairness in the world. Education is widely regarded as an effective tool to eliminate poverty, so in recent years, countries have paid special attention to education poverty alleviation. China has taken a number of practical and effective measures in education poverty alleviation. Through these efforts, China has made four historic achievements in education poverty alleviation: first, it has realized the comprehensive popularization and consolidation of compulsory education in poor areas, and completely solved the problem of "learning"; second, the linkage between education poverty alleviation and vocational education, the establishment of an effective mechanism to block the intergenerational transmission of poverty; third, the optimal allocation of educational resources, narrowing the gap between urban and rural areas and regions; the fourth is to establish a full-coverage precision funding system, eliminating the phenomenon of " out of school due to poverty " in education. These historic achievements are inseparable from adhering to the priority development of education and the organic coordination of the national system. China's specific actions, achievements and experience in the field of education poverty alleviation have contributed Chinese wisdom and Chinese programs to the cause of education poverty alleviation worldwide.

Differences of Primary Education Resources between Urban and Rural Areas

The unbalanced distribution of educational resources, especially between urban and rural areas, constitutes a universal problem in the world. In China, however, this difference in educational resources is particularly obvious and has become an important issue to be solved urgently. This issue is not only related to educational equity, but also profoundly affects the overall development and progress of society. This work adopts the research method of quantitative analysis, and uses the data in China education database to analyze it. According to the research results, in China the distribution of educational resources between urban and rural areas shows obvious differences, which are not only reflected in material resources, but also in teachers' strength and the access to education. The unbalanced allocation of educational resources may trigger a series of social chain reactions. The government and society need to take a series of measures to solve these problems. Specifically, we should increase investment in rural education, improve rural teachers' salary and benefits and career development opportunities, and optimize the hardware facilities of rural schools and so on. At the same time, it is necessary to deepen educational reform and innovation, aiming at achieving fairness in the field of education and promoting all-round social progress.

Big Data Optimization Model for Enhancing the Innovation of Preschool Education Model Under the Background of Intelligent Internet

This paper deeply discusses the transformation potential of integrating Internet big data into the pre-school education model in colleges and universities. Through in-depth analysis, we studied the challenges and opportunities faced by preschool education in colleges and universities, and discussed the innovative influence of big data technology on educational paradigm. Our research emphasizes the key role of data-driven insights in reforming teaching methods and optimizing resource allocation in education. We emphasize the importance of establishing a central database and data sharing mechanism to improve the efficiency and effectiveness of education. In addition, we identified the main challenges, including data security issues, technical proficiency gap and resource gap among educators, and put forward targeted countermeasures to solve these problems. Looking forward to the future, we expect that the pre-school education model based on Internet big data will have a promising development track, which indicates a future characterized by innovation, change and excellent education.

Analisis Perbandingan Anggaran Pendidikan di Negara Nigeria dan Kongo

Education is one of the main pillars of social and economic development, especially in developing countries. Generally, education not only serves as a means of knowledge transfer but also plays a crucial role in shaping individual character and skills. In developing countries, education can be a tool to address various challenges such as poverty, social injustice, and economic inequality. In the context of analyzing education budgets in Nigeria and Congo, the most suitable research design is mixed methods research. This approach combines quantitative and qualitative methods, allowing researchers to gain a deeper and more comprehensive understanding of the phenomena under study. A comparison of education budgets in Nigeria and Congo shows significant differences in the allocation and management of educational resources. Nigeria, with a larger budget allocation, has the potential to improve the quality of education, while Congo faces more fundamental difficulties with relatively low budget allocation. The factors influencing education budgets in both countries are highly variable.

Leveraging Digital Technologies for Public Health Education in High-Density Community Spaces: A Geospatial Analysis

Public health education (PHE) plays a crucial role in mitigating the impact of public health crises, particularly in the context of high-density and aging populations. This study aims to address the challenges posed by these demographic trends in community public service spaces (CPSSs) by integrating geospatial and population data. Using bivariate spatial autocorrelation analysis, this research investigates the relationship between PHE and social determinants of health across 40 CPSSs in Macao. Additionally, it highlights the underutilization of digital technologies (DTs) in PHE. A non-participatory, short-term field survey and observational study were conducted to analyze PHE data quantitatively and descriptively in Macao’s CPSSs. Moran’s I and LISA index were used to test spatial autocorrelation at 90% and 99% confidence levels. The results revealed significant positive spatial correlations between the distribution of community public service institutions (CPSIs) and the population in southern Macao, as well as between the elderly population and PHE themes and formats. PHE topics predominantly focus on health/fitness, geriatrics, chronic diseases, and mental health. Despite this, PHE remains heavily reliant on offline formats, with limited integration of DTs. Challenges such as low digital literacy and limited acceptance of DTs among community workers and the public hinder their broader adoption. This study provides valuable insights for optimizing the allocation of health education resources in densely populated and aging urban areas, offering both practical recommendations and theoretical support for health policy making and implementation.

Research on the Impact of Educational Equity on Access to Higher Education Opportunities

Abstract: Educational equity is a core value in modern society, centered on the principle that everyone should have equal rights and opportunities to access education. In higher education, educational equity directly impacts individuals ability to pursue fair opportunities, which in turn influences their career prospects and social standing. This article aims to explore the impact of educational equity on access to higher education. By conducting interviews with educators and analyzing both domestic and international literature, this study analyzed factors such as the allocation of educational resources, family economic and educational backgrounds, and educational policies. The findings highlight the important role of educational equity in the distribution of opportunities in higher education. Research has found that educational equity is crucial not only for individual growth and development but also as a key indicator of social equity and justice. This article proposes a series of strategies aimed at promoting educational equity and expanding access to higher education.

Basic Education in Canada and Its Implications for Education in China

This paper explores the advantages, characteristics, and implications of basic education in Canada over education in China. By analyzing the successful experience of the Canadian education system, we can provide reference for the reform of basic education in China and promote the sustainable development of China’s education industry. Canada’s basic education covers all stages and focuses on the comprehensive development of students and the cultivation of innovative spirit. Its educational management model is characterized by common management, implementing a 12-year compulsory education system, diversifying the education system, emphasizing the cultivation of students’ self-learning ability in educational methods, and having strict requirements for the teaching staff. There are problems in China’s basic education, such as uneven distribution of educational resources, prevalence of exam-oriented education, and the need to improve the educational and teaching abilities of some teachers. The inspiration of Canadian education for China includes strengthening cooperation between governments and schools at all levels, emphasizing quality education, improving teachers’ professional quality, and optimizing the allocation of educational resources. China should learn from Canada’s experience and adopt comprehensive measures to improve the quality of basic education in China, including building a diversified education system, strengthening students’ self-learning ability, emphasizing students’ comprehensive development, and enhancing teacher training.

The Allocation of Educational Resources in the Face of Socioeconomic Factors in China

China’s rapid economic development has led to significant improvements in its education system, contributing to a reduction in educational inequalities. However, this progress has been unevenly distributed, with a disproportionate focus on urban metropolitan areas, leaving rural regions underfunded and underserved. Despite efforts to universalize nine-year compulsory education, those disadvantaged students coming from rural areas or remote regions of China continue to face substantial challenges in comparison to their urban counterparts. Through time series analysis with Theil index model, it can be used to analyze and study the change of urban and rural income and its potential impact on education distribution. This paper highlights that the problems in allocation of educational resources between urban-rural area still exist. To address these disparities, several strategies could be implemented, including financial investment, developing aid-programs, and expanding educational facilities in rural areas. This research contributes to the broader literature on educational inequality in China, offering guidance for future investment strategies to address these persistent disparities.

Bridging the Disparity: An Optimization Model for Equitable Allocation of Urban and Rural Educational Resources in Western China

The persistent disparity in educational resources between urban and rural areas in western China remains a critical barrier to achieving educational equity. This study addresses the critical issue by developing an innovative optimization model. The model aims to allocate financial, human, and physical resources effectively to minimize the educational quality gap between these regions. Using information from the China Education Panel Survey (CEPS) and concentrating on Xinjiang as a representative instance, our design integrates budget constraints, minimum resource requirements, and a unique regional prioritization factor. The goal of the objective function is to reduce the squared disparity in educational quality between city and rural regions. It thinks about variables such as Teacher-Student Ratio (TSR), Per Capita Investment (PCI), and Teaching Equipment Perfection (TEP). Our searchings for show that strategic resource distribution can considerably lessen educational inequalities in between metropolitan and country setups, especially by focusing on underdeveloped rural regions. Sensitivity analysis shows that customizing the local prioritization specification makes it possible for versatile policy strategies, ranging from equitable distribution to plainly sustaining rural regions. This study presents a pragmatic structure for boosting resource allotment in education. It supplies vital understandings for policymakers aiming to promote an extra equitable educational environment in Western China.

Application and Prospect of Artificial Intelligence in Personalized Learning

With the rapid development of "big data, intelligence, cloud, things and mobile" technology, artificial intelligence has been widely used in the field of education, providing technical support for personalized learning. The traditional education model cannot meet the personalized needs of students. Education reform calls for the introduction of artificial intelligence technology to achieve the optimal allocation of educational resources and improve teaching effectiveness. The knowledge economy era has put forward higher requirements for talents' innovation ability and lifelong learning ability. Personalized learning is an important way to cultivate these abilities. This paper first takes the main application of artificial intelligence in personalized learning as the starting point, and then analyzes the advantages and challenges of artificial intelligence in personalized learning. It is concluded that artificial intelligence plays a positive role in innovating teaching methods, achieving educational equality, and giving new impetus to learning, but at the same time it also faces challenges in various aspects.

"Three-education" Synergistic Innovation Driven by New Quality Productive Forces: Connotation Deconstruction, Logical Deduction and Path Exploration

The new quality productive forces led by science and technology innovation is reshaping the global economic and social structure, with far-reaching impacts on the field of education. In this context, "three-education" collaborative innovation has become a key force to promote the modernization of education. The new quality productive forces will optimize the allocation of educational resources through scientific and technological means, promote the transformation of the education model and conceptual innovation, and lead the education system to deep-level changes. In this change, technological innovation and educational innovation are mutually empowering, emphasizing the core role of interdisciplinary integration and open cooperation in building a new era of educational ecology. To cope with this trend, the "three educators" collaborative innovation should build a smart education platform, implement cross-border integration education strategies, establish an ecosystem for industry-education integration, build an open resource symbiosis network, and innovate the education evaluation system. These strategies are aimed at cultivating high-quality talents that meet the needs of the new era and providing solid human and intellectual support for high-quality economic and social development.

The Application, Challenges, and Reflection of Generative Artificial Intelligence in the Field of Education

The rapid development of Generative Artificial Intelligence technology has brought new opportunities to the field of education, giving rise to a large number of intelligent teaching applications and improving the quality and efficiency of teaching. However, the education industry has also encountered unprecedented challenges and tests, including new adjustments and changes in educational concepts, curriculum content, teaching methods, allocation of educational resources, educational evaluation systems, and teacher career transformation. These challenges urgently need to be faced and overcome by educators together. Therefore, while facing the heat of artificial intelligence technology, it is necessary to maintain rational thinking and reflect on some of the problems exposed in the application process of artificial intelligence, ensuring that artificial intelligence technology is applied reasonably and truly serving the essence and goals of education, achieving a dynamic balance between technology and humanistic education.