Allocation Of Educational Resources Research Articles

A novel multi-scale fractional-order Bernoulli grey model and its application on primary school scale prediction

Primary education plays an important role in the whole educational structure. The prediction of the development scale of primary schools is of great significance to the optimal allocation of educational resources by education departments. The paper introduces a novel multi-scale fractional-order Bernoulli grey model by combining a local cumulative operator with a global cumulative operator, abbreviated as MFGM. First, a nonlinear grey Bernoulli model based on conformable fractional derivative is proposed, where a hybrid accumulation is presented. Then, the MFGM parameters are obtained by an PSO optimizer, which are adaptive to data sets. Finally, the proposed model is validated and used to predict the scale of primary school scale. Experimental results show that the MFGM is superior to the other grey models and machine learning models in the fitting and testing primary school scale. The prediction results contribute to the decision-making of education sectors.

Research on Efficiency of Allocation of Higher Education Resources in China--Empirical Analysis based on DEA-Malmquist Model

Research on Efficiency of Allocation of Higher Education Resources in China--Empirical Analysis based on DEA-Malmquist Model

Innovative Analysis of Student Management Path Based on Artificial Intelligence and Big Data Integration

This paper discusses the application path and effect evaluation method of big data and artificial intelligence in college student management, aiming at promoting the intelligent and humanized development of management through technological innovation. A BP neural network model (IFOA-IAGA-BP) based on the combination of improved firefly optimization algorithm (IFOA) and improved artificial pigeon colony algorithm (IAGA) is studied and constructed, aiming at improving the accuracy and efficiency of management quality evaluation. This model can identify students' individual needs more accurately, optimize the allocation of teaching resources, improve teaching quality, predict students' learning risks through intelligent algorithms, intervene in time, and provide all-weather learning consultation services, so as to enhance the immediacy and effectiveness of student support services.

Research on the Educational Needs of Long-term Hospitalized Children

This study discussed the parents' educational needs and expectations of a university-affiliated hospital in the neonatal and oncology departments in a semi-structured interview survey. Parents generally pay close attention to their children's learning environment in the hospital, the allocation of educational resources, and the organization and implementation of educational activities. At the same time, the parents also put forward clear requirements for the professional quality and attitude of the education volunteers, hoping that the volunteers will have solid professional knowledge, personalized teaching ability, and warm and caring emotional attitude. In addition, parents emphasized the importance of educational support in enriching children's lives, promoting physical and mental growth, focusing on mental health and behavioral management, and expected hospitals to provide more flexible and diverse ways of educational support.

The empowerment of AIGC technology in high school English education

The application of AIGC technology in high school English teaching creates a rich virtual language application environment and diverse learning platforms for students. These multimodal activities not only provide tailored learning paths but also, through in-depth data analysis and effectiveness evaluation, support the implementation of adaptive learning. While fostering independent thinking among students, they also assist in integrating English learning into their daily lives. This advancement not only optimizes the allocation of educational resources in underprivileged western regions, promoting an overall improvement in educational quality, but also confers profound significance on education.

Digital Twins Empower Higher Education

This paper explores the application of digital twin technology in higher education and its enabling effect. Through literature review and case studies, this paper studies the generation, basic concepts, technical frameworks, and application scenarios, e.g., in higher education, of digital twins. The results show that digital twin technology can significantly improve the teaching quality and learning effect and optimize educational resource allocation and management efficiency. This paper also discusses the challenges of digital twin technology and the prospects for future development in higher education. It provides new ideas and practical paths for the digital transformation of higher education.

Factors influencing research productivity among Syrian medical professionals amidst conflict: a case-control study

BackgroundMedical research productivity is globally increasing, with a lagging progress in third-world countries due to significant challenges, including inadequate training and brain drain. Syria had been showing a slow upward trend until the war broke out and severely hindered academic growth and productivity. A deeper understanding of the factors influencing research productivity in this context are fundamental to guide educational policies and resource allocation. Previous cross-sectional studies that evaluated the perspectives of Syrian academics on the issue were limited by the small sample size of published healthcare workers, making it difficult to identify the factors that enabled them to pursue research.MethodsTo address this challenge, we employed a case-control design. We isolated published early-career Syrian healthcare workers and compared their characteristics and perceptions to unpublished matched controls. Authors in the fields of medicine, dentistry, and pharmacy affiliated with any Syrian University were identified through an extensive search of PubMed and Google Scholar.These authors were invited to complete a questionnaire that covered participants’ research contributions, alongside their self-assessed knowledge, attitudes, and barriers towards research. The questionnaire was publicly published to recruit an equal sample of matching controls, with half consisting of unpublished researchers and the other half of participants without prior research contributions.ResultsSix-hundred-sixteen participants were recruited. Their knowledge, attitudes, and perceived barriers explained 46% and 34% of the variability in research involvement and publication, respectively (P < 0.001). Getting involved in and publishing research studies associated with higher research-related knowledge and attitudes (P < 0.001). Respondents’ assessment of research-related barriers and their academic scores did not differ between cases and controls. Superior research-related knowledge and attitudes were associated with male gender, higher English competency, and better internet connectivity. Meanwhile, extracurricular training and mentors’ support were associated with more positive research-related attitudes and less perceived barriers.ConclusionsResearch productivity of medical professionals in Syria exhibits a positive correlation with their knowledge and favorable attitudes towards medical research. Noteworthy, the demographic variations are linked to disparities in research-related knowledge and motivation. In conclusion, these results suggest a potential avenue for enhancement through concentrated efforts on improving extracurricular training interventions and mentors’ support.

Study on the Impact of Talent Cultivation in Higher Education on Regional Innovation Level

In the era of accelerating the cultivation of new-type productive forces, exploring the relationship between talent cultivation in higher education and regional innovation helps optimize the positioning and resource allocation of higher education, and enables the high-quality development of new-type productive forces. This study empirically explores the impact of talent cultivation in higher education on regional innovation based on panel data from 283 cities in China from 2011 to 2021. The study found that talent cultivation in higher education is an important driving force for regional innovation in new-type productive forces, and its positive impact effect remains robust after using instrumental variables to alleviate endogeneity issues. Based on the above research results, this study proposes the following policy recommendations to promote the development of regional innovation: Firstly, strengthen the integration of industry-university-research cooperation between universities and regional innovation. Universities should actively approach regional innovation practices, closely align with the development needs of regional industries, optimize talent cultivation programs, and aim to cultivate innovative talents required by new-type productive forces. Secondly, strengthen the talent cultivation model in universities in the digital and intelligent era, and promote the construction of the "1236" education system. Thirdly, deepen talent cultivation through scientific research in universities. Scientific research is a basic function of universities, and the most cutting-edge technological innovations are the foundation of universities. In the era of digital intelligence, digital intelligence science and technology brought by university scientific research is the key to cultivating new-type productive forces. the era of cultivating new-type productive forces, exploring the relationship between talent cultivation in higher education and regional innovation helps optimize the positioning and resource allocation of higher education and empower the high-quality development of new-type productive forces. This study empirically explores the impact of talent cultivation in higher education on regional innovation based on panel data from 283 cities in China from 2011 to 2021. The study found that talent cultivation in higher education is an important driving force for regional innovation in new-type productive forces, and its positive impact effect remains robust after using instrumental variables to alleviate endogeneity issues. Based on the above research results, this article proposes the following policy recommendations to promote the development of regional innovation: Highlight the key supporting role of universities in new-type productive forces-driven regional innovation; Construct a new-type productive forces talent cultivation system characterized by digitization; Implement differentiated industry-university-research collaborative innovation strategies; Optimize the allocation of higher education resources in key areas of regional innovation development.

The application of greedy algorithm in the course selection and scheduling system of college students

On December 19, 2023, the Chinese Ministry of Education's press conference once again emphasized the continued expansion of undergraduate professional degree enrollment. Nowadays, under the influence of the expanding enrollment scale of colleges and universities, the reasonable allocation of limited educational resources has become the primary task of educators, and college students' course choice and course arrangement will directly determine their school life quality. However, the number of students is large, so the research topic of this paper is to use greedy algorithms to design a more efficient course selection and scheduling system. The course selection and scheduling system based on the greedy algorithm can save the resources required by manual scheduling to the maximum extent and directly improve the work efficiency of educators. The system designed and practiced in this paper is effective to a certain extent, and the effective use of the algorithm can avoid many problems in course selection and course arrangement.

Analysis of the Current Situation of Teaching Intention among Non- Normal English Majors in Henan Province

This paper is based on the actual situation of non-normal English major students in Henan Province, drawing on the theory of technology acceptance model and constructing a structural equation model, aiming to explore the key factors and their interrelationships that affect the willingness of non-normal English major students to teach. Through empirical research, it has been found that non-normal English majors have a generally weak willingness to engage in the education industry. This is mainly attributed to the decline in professional social credibility caused by individual teacher misconduct, as well as the sharp decrease in the number of English training institutions under the double reduction policy, which brings many difficulties for graduates to seek employment. Based on the above findings, this paper proposes a series of targeted suggestions to provide reference for optimizing the allocation of educational resources and promoting the sustainable development of the education industry.

Research on the Spatial Distribution Characteristics and Influencing Factors of Educational Facilities Based on POI Data: A Case Study of the Guangdong–Hong Kong–Macao Greater Bay Area

This study aims to provide a precise assessment of the distribution of educational facilities within the Guangdong–Hong Kong–Macao Greater Bay Area, serving as a crucial foundation for managing educational resource allocation and enhancing the quality of educational services. Utilizing a kernel density analysis, global autocorrelation analysis, and geographic detectors, this research systematically analyzes the spatial distribution characteristics and influencing factors of educational facilities in the area. The findings reveal significant geographical disparities in facility distribution with dense clusters in urban centers such as Guangzhou and Shenzhen, and less dense distributions in peripheral areas like Zhongshan and Macau. These facilities exhibit a multi-center cluster pattern with strong spatial autocorrelation, mainly influenced by the population size and economic and urban development levels. The results provide actionable insights for refining educational planning and resource allocation, contributing to the enhancement of educational quality across diverse urban landscapes.

The educational competition optimizer

In recent research, metaheuristic strategies stand out as powerful tools for complex optimization, capturing widespread attention. This study proposes the Educational Competition Optimizer (ECO), an algorithm created for diverse optimization tasks. ECO draws inspiration from the competitive dynamics observed in real-world educational resource allocation scenarios, harnessing this principle to refine its search process. To further boost its efficiency, the algorithm divides the iterative process into three distinct phases: elementary, middle, and high school. Through this stepwise approach, ECO gradually narrows down the pool of potential solutions, mirroring the gradual competition witnessed within educational systems. This strategic approach ensures a smooth and resourceful transition between ECO's exploration and exploitation phases. The results indicate that ECO attains its peak optimization performance when configured with a population size of 40. Notably, the algorithm's optimization efficacy does not exhibit a strictly linear correlation with population size. To comprehensively evaluate ECO's effectiveness and convergence characteristics, we conducted a rigorous comparative analysis, comparing ECO against nine state-of-the-art metaheuristic algorithms. ECO's remarkable success in efficiently addressing complex optimization problems underscores its potential applicability across diverse real-world domains. The additional resources and open-source code for the proposed ECO can be accessed at https://aliasgharheidari.com/ECO.html and https://github.com/junbolian/ECO.

The Impact of Low Fertility Rate on Education in China and Its Countermeasures

The change of China's population structure is bound to have a great impact on China's education field. This change has put forward higher requirements for the country's economic and social development. Research on the impact of China's low fertility rate on education and corresponding measures can provide a scientific and powerful basis for government decision-making. This research aims at discussing the influence of low birth rate on Chinese educational development. By analyzing the available documents and positive studies, many factors influence educational development, such as reducing the number of students enrolled, the stress of teachers' job, the unequal allocation of educational resources and the deterioration of educational quality. To address the education challenges of a low birth rate, the following measures are proposed: increase investment in basic education, rationally allocate educational resources, encourage the development of high-quality educational institutions, innovate the education system, and increase support for the education industry. Through these measures, China can provide a better educational environment for the next generation, cultivate outstanding talents, and promote equitable education development. China can overcome the educational challenges brought about by low fertility rates and promote the development of education.

Research on the Teaching Mode of Innovation and Entrepreneurship Education Courses in Colleges and Universities based on Virtual Teaching Research Section

This paper takes four colleges and universities in Heilongjiang Province, the teaching mode of innovation and entrepreneurship courses as the object of study,and uses the virtual teaching and research office as a platform to explore how to effectively integrate the links between the employment guidance courses,innovation and entrepreneurship education courses and professional education courses to improve the quality of talent cultivation in the context of the new era. With the help of modern information technology, it breaks the limitations of space,time and geography,and realizes the efficient sharing and optimal allocation of teaching resources.

Optimization of Online Learning Resource Adaptation in Higher Education through Neural Network Approaches

With the advent of the digital era, the quantity and variety of online higher education learning resources have expanded rapidly. The efficient adaptation of suitable resources to meet the needs of learners with specific requirements has become crucial for improving learning outcomes. Although current online learning resource recommendation systems have made some progress in matching resources, they still face challenges related to the inadequate integration of resource features and a superficial understanding of learners’ needs. These challenges hinder the achievement of personalized and precise matching, affecting learners’ study efficiency and the effective utilization of educational resources. This study first analyzes the importance of adapting online higher education learning resources and the limitations of existing research. Subsequently, a novel neural network optimization strategy is proposed. The research comprises two main parts. Firstly, the self-attention-convolutional neural network (SA-CNN) model is employed for the deep integration of the content features of online learning resources. This aims to enhance the comprehensiveness of resource descriptions. Secondly, a deep-metric attention model is introduced to accurately model and adapt to learners’ needs. This approach not only optimizes the feature representation of learning resources but also enhances the sensitivity and accuracy of the recommendation system towards learners’ requirements. This study is of significant importance for improving the performance of higher education online learning resource recommendation systems. It also provides new insights into the construction of personalized learning paths and ensuring the balanced allocation of educational resources.

Research on Information Data Security of University Archives

Under the background of the rapid development of information technology, the information technology of university archives has become an important part of the modernization of education management. However, in this process, the problem of data security has become increasingly prominent, which has become a major obstacle restricting the in-depth development of university archives informatization. In the face of security threats such as data leakage and network attacks, this paper proposes a series of systematic protection countermeasures, aiming at providing a safe and reliable data environment for university archive informatization, ensuring the integrity and availability of information resources, and thus promoting the improvement of university management efficiency and the optimal allocation of education resources.

The Appeals, Dilemmas, and Pathways of Enabling Rural Teachers’ Professional Development Through Emerging Technologies

With the rapid advancements in technology, especially in digitalization and intelligence, numerous modern technologies have poured into rural schools, effectively improving their informatization conditions. Nevertheless, these technologies remain detached from rural teachers, failing to significantly enhance the quality of education and teaching in rural areas. Rural education is a crucial aspect of ensuring balanced development in education. The question of how to enhance rural teachers’ technological application abilities and fully leverage the positive role of technology in rural education and teaching has become a significant topic of current research on rural education issues. To better address this question, this study conducted a thorough examination of the specific appeals of rural teachers in the process of technology enablement. It was discovered that rural teachers generally face dilemmas such as insufficient technological application abilities, difficulties in obtaining quality teaching resources, and the lack of continuous technical support and update mechanisms. Based on these findings, specific pathways such as strengthening rural teacher training, optimizing the allocation of educational resources, and establishing mechanisms for continuous technical support and updates are proposed to aid in the high-quality development of rural education.

Causes and Recommendations for the Involution of Chinese Family Education

Addressing the phenomenon of involution currently observed in Chinese family education, this paper employs interviews and analyzes various dimensions including social background, traditional culture, educational systems, and family education concepts to elucidate the roots of involution in Chinese family education. Considering the adverse impacts of this involution on childrens physical and mental development, comprehensive growth, and family relationships, targeted recommendations are proposed. Through collaborative efforts among society, schools, and families to optimize the allocation of educational resources, transform educational concepts, and improve family education practices, this study aims to create a healthier, more harmonious, and conducive educational environment for the comprehensive development of children.

The Influence of Economic Development on Educational Equity

Amidst the continuous economic development, notable disparities in economic prosperity have emerged across different regions. These economic imbalances have led to significant disparities in educational investment and resource allocation. Education, as a crucial factor in shaping the quality of human resources, begs the question: does the variance in its level further exacerbate regional development gaps, or can economic growth pave the way for educational equity? This paper delves into the intricate interactions and relationships between educational fairness and economic development. Using statistical data from Gansu and Zhejiang provinces as examples, we gain a glimpse into the profound influence of economic development levels on the allocation of educational resources. Regions with more robust economies often boast more comprehensive and advanced educational resources, which are closely linked to factors such as fiscal budgets, social demands, and population structures. Furthermore, this paper explores the reverse effect of educational fairness on economic development. Not only does educational equity enhance the overall quality and productivity of human resources, but it also promotes social mobility and harmony, helping to alleviate societal injustices and class conflicts. The relationship between educational fairness and economic development is intricate yet interconnected.

Study on the Impact of Information Technology on Chinese Language Teaching

With the rapid development of information technology, its application in the field of education is becoming more and more widespread, especially in Chinese language teaching. The purpose of this paper is to explore the impact of information technology on Chinese language teaching and learning, and to analyse the current status of its application in terms of teaching mode, teaching resources, and teachers' roles, as well as the impact of these applications on teaching effectiveness and learners' development. The paper finds that the application of information technology can enhance teaching effectiveness, meet learners' individual needs, and promote educational equity and universality. However, it also faces challenges such as uneven development of technology, cyber security, and allocation of educational resources. Therefore, this paper proposes corresponding coping strategies, including strengthening teachers' IT training, optimising education management policies, and reforming the education evaluation system. The concluding section summarises the positive changes brought by information technology to Chinese language teaching and points out the important directions for future research and development.