Education Industry Research Articles

Research on the impact of digital finance on the high-quality development of education

Against the backdrop of building a strong nation in education, the advantages of digital finance become increasingly prominent, providing motivation for the high-quality development of the education industry. This article utilizes provincial panel data from China covering the period from 2011 to 2022 to construct an index system for high-quality education development and conduct regression estimation. The results indicate that digital finance plays a significant promoting role in the high-quality development of education, with its influence being contingent on the regional economic level. Furthermore, capital misallocation serves as a conduit between the two factors.

Essential Characteristics for School Administrators in the Digital Age for Thailand

Introduction: It is well known that education and teaching practices are affected by technological developments. The ubiquitous spread of information and communication technologies in recent years has forced educational institutions to undergo a digital transformation so as to keep up with the today’s technological age. Educational activities have become sustainable in virtually all environments and under virtually all conditions, with interactive whiteboards having long since replaced the traditional blackboard in most schools. Changes emerging today include revised job definitions, changing patterns of daily life, and the desire for economic value; together they represent the primary results of this digital transformation. Objective: This study aims to explore the essential characteristic for school administrators in the digital age. Method: This is quantitative approach. The population was educational administrators in Thailand who are responsible for management in educational institutions. This Quantitative Research analyzed the data using Descriptive Statistics, Inference Statistic and Multivariate by IBM SPSS and Structural Equations Modeling (SEM) was analyzed by IBM SPSS AMOS. Results: 1) Government Policy (GP) 2) Performance Attribute (PA) and 3) Competent Innovation directly influence on Perceived Value. Moreover, Perceived Value directly influences on Performance Identification. Analysis of the SEM model was found to be accurate because the model is consistent with empirical data, harmonization index passed all criteria, Chi-Square = 173.53, df = 88 RMSEA = 0.04 and RMR = 0.03, index GIF = 0.96 and AGIF = 0.94 and R2/ df = 1.97. Conclusion: These findings can be used to develop academic fields such as research and strategic planning effectively and can be applied in educational industry as well, so making the product feature that meets the needs of the customer will result in the perception of the value of the product and making a purchase decision. This finding has benefits on human resources development and school management and school administrators as well.

The Impact of Chatgpt on Students in The Context of Big Data

In the current era of rapid development of artificial intelligence such as GPT, how to integrate new technologies such as GPT into the education industry and bring better education to students is a hot topic. Although human have many new technologies that can theoretically be applied to the education industry. However, in reality, there are not many scenarios in which these new technologies can be used in the education industry at present. It is determined that new technologies such as artificial intelligence in the big data environment can bring some positive impacts on students' education. It has been determined that new technologies such as artificial intelligence in the big data environment and the use of new technologies by teachers can have a positive impact on students. Therefore, this article suggests that in the future, various new technologies can be brought into the classroom to provide students with a better teaching environment, bring a better teaching experience to students.

Research on the current situation of diversified development in education

As a multicultural country, China's education industry is at a critical stage of development. It not only contributes to the diversity of society, but also improves the overall quality of the entire population, thereby improving the basic scientific literacy of all people and improving their physical and mental health. However, due to various reasons, especially history, social environment and current economic conditions, there are still many challenges in the current education, especially the lack of resources related to mathematics education. With the change of times, improve the quality of students; Learning interest and skills in mathematics, as well as strengthening their understanding of mathematical culture and theory, are important issues today; Therefore, integrating these factors into the classroom not only helps to improve their comprehensive quality, but also helps to better realize their dreams. This paper aims to explore the sustainable development of minority mathematics education through practical activities, classroom discussions, examination guidance, social practice activities and other forms, so as to improve students' comprehensive quality and mathematical ability.

Research and performance analysis of random forest-based feature selection algorithm in sports effectiveness evaluation

The rapid progress in fields such as data mining and machine learning, as well as the explosive growth of sports big data, have posed new challenges to the research of sports big data. Most of the available sports data mining techniques concentrates on extracting and constructing effective features for basic sports data, which cannot be achieved simply by using data statistics. Especially in the targeted mining of sports data, traditional mining techniques still have shortcomings such as low classification accuracy and insufficient refinement. In order to solve the problem of low accuracy in traditional mining methods, the study combines the random forest algorithm with the artificial raindrop algorithm, and adopts a sports data mining method based on feature selection to achieve effective analysis of sports big data. This study is based on the evaluation method of motion effects using random forests, and uses feature extraction algorithms to study the motion effect impacts. It uses the information gain index to rank the importance of features and accurately gain the degree of influence of exercise on various indicators of the human body. Through simulation verification, the algorithm proposed by the research institute performs the best in accuracy and FI scores on the training and testing sets, with accuracies of 0.849 ± 0.021 and 0.819 ± 0.022, respectively, and F1 scores of 0.837 ± 0.020 and 0.864 ± 0.021, respectively. This indicates that the algorithm proposed by the research institute has high classification accuracy and performance proves that the Random Forest-based feature selection algorithm established in this study is superior to the existing traditional feature extraction and extraction methods in terms of both performance and accuracy. The proposal of this data analysis method has achieved accurate and efficient utilization of sports big data, which is of great significance for the development of the sports education industry.

Navigating Competitive Waters: Marketing Mix, Strategic Branding and Growth in Private Higher Education

The entry of many private higher education institutions (HEIs) into the tertiary education industry in Sri Lanka has been conducive to a high degree of rivalry among competitors. Amid this rivalry, the private sector HEIs have realized the importance of designing and implementing strategically planned sustainable growth for institutions to provide value for their stakeholders. This study tested a theoretical model that includes two influencing factors– marketing mix strategy and strategic branding, and one moderating factor–competition, hypothesized to influence the performance and growth of HEI. Respondents (n = 322) from existing HEIs were surveyed to measure the key constructs. A multilinear regression supported a fit of data to the model. The study empirically revealed that marketing mix strategies designed and implemented by the HEIs do not positively influence the performance and growth of the institution. At the same time, strategic branding is a significant factor in influencing performance and growth. Moreover, the relationship between the marketing mix strategy and sustainability and the relationship between strategic branding and sustainability were moderated by the degree of rivalry that impacts the growth of the HEI. These results provide evidence to validate prior theories grounded in literature.

The suitability of skilled talent training in higher vocational colleges based on AI and 5G network connection in the context of educational transformation and upgrading

The development of artificial intelligence (AI) and 5G network technology has changed the production and lifestyle of people. AI also has promoted the transformation of talent training mode under the integration of college industry and education. In the context of the current transformation of education, AI and 5G networks are increasingly used in the education industry. This paper optimizes and upgrades the training mode of skilled talents in higher vocational colleges by using its advanced methods and technologies of information display. This means is helpful to analyze and solve a series of objective problems such as the single training form of the current talent training mode. This paper utilizes the principles and laws of industry university research (IUR) collaboration for reference to construct and optimize the talent training mode based on the analysis of the requirements of talent training and the role of each subject in talent training. Then, the ecological talent training environment can be realized. In the analysis of talent training mode under the cooperation of production and education, the correlation coefficients of network construction, environment construction, scientific research funds, scientific research level, and policy support were 0.618, 0.576, 0.493, 0.785, and 0.451, respectively. This showed that the scientific research level had the greatest impact on talent training in the talent training mode of IUR collaboration, while policy support had less impact on talent training compared with other factors. The combination of AI and 5G network technology with the talent training mode of IUR cooperation can effectively analyze the influencing factors and problems of the talent training mode. The hybrid method is of great significance to the talent training strategy and fitting degree.

The Impact of the Development of Social Media on Education

Due to the arrival of the Internet era and the rise of social media, there has always been controversy about the impact of social media on the education field. The purpose of this research is to analyze the advantages and disadvantages that social media brings to the current and future education fields. It will focus on students and educators, two major groups in the field of education, discussing their impact on themselves when using social media now and the potential impact they may get in the future. This paper concludes that the development of social media has a positive impact on the education industry and will continue to assist the education sector in future development. It will demonstrate to the public the benefits and rationality of using social media in education, both now and in the future.

Building Harmony of Music Course Customer Loyalty in Jakarta: The Critical Role of Customer Value, Trust, Satisfaction, and Customer Engagement

The music education industry in Indonesia, especially in Jakarta, is growing rapidly as people's interest in music increases. However, the industry faces challenges in retaining customers and increasing their loyalty. This study aims to identify the factors that affect Customer Loyalty of music course customers in Jakarta, focusing on the influence of customer value, trust, and customer satisfaction on Customer Loyalty, as well as the role of customer engagement as a mediation variable. This study uses a quantitative method with a survey approach. The sample consisted of 95 respondents who were consumers of music courses in Jakarta over 18 years old and had used music course services for at least three months. Data was collected through questionnaires and analyzed using Partial Least Squares (PLS) with SmartPLS software version 3.0. The results of this study are expected to provide insight for music course managers in developing effective marketing strategies to increase customer loyalty. By understanding the factors that affect Customer Loyalty, managers can increase customer value, build trust, and increase customer satisfaction, which will ultimately increase customer engagement and customer loyalty.

Imagined Communities of Chinese International Graduates in Australia and New Zealand

ABSTRACTThe rapid increase in the number of international graduates seeking employment opportunities in host countries has been accompanied by a corresponding growth in related discourse regarding how international students could successfully benefit from post‐study work visa schemes and whether or not they are ‘career‐ready’ in local job markets. This study focuses on the linguistic capital among international graduates during their study–work transition processes. The qualitative analysis highlights that international graduates encounter various language‐related challenges during their transitions. However, their increased investment in English could not be simply interpreted as actions to overcome the language‐related challenges that they had encountered but was also for gaining access to their imagined communities, achieving non‐linguistic goals and employment outcomes. The study draws implications for understanding how international graduates could be better accommodated and encouraged to participate in the wider communities in their host countries. This is important knowledge, as enhancing employment outcomes is not only a goal for students pursuing international education but also of critical interest to countries seeking to sustain the international education industry.

Study On the Value Connotation, Dilemma and Path of the Integration of Industry and Education in the Open University in the Intelligent Era

The intelligent age puts forward new requirements to the education industry. As an important part of the lifelong education system, the Open University faces challenges in the adaptability and effectiveness of its production-education integration model in the intelligent age. This paper analyzes the value connotation of the integration of industry and education in the Open University under the background of the intelligent era and deeply discusses the core dilemma encountered in the integration of industry and education, including poor policy response, incomplete feedback mechanism, unclear school-running positioning, lack of characteristics of the integration of industry and education, increasing demand for cooperation between enterprises, lack of cooperation ability of schools, lack of learning motivation, and lack of effective external incentives. On this basis, this paper puts forward targeted path optimization strategies, aiming to realize the effective promotion of the integration of industry and education in the Open University through integrated and coordinated development, improving feedback mechanism, clarifying school-running positioning, co-building cooperation platforms, clarifying enterprise needs, increasing on-campus investment, taking students as the center, strengthening external incentives and other solutions. The research in this paper not only guides for the Open University to carry out the integration of industry and education in the intelligent era but also provides decision-making reference for relevant policymakers.

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.

Research on the Development Dilemma and Countermeasures of Chinas Education Industry from the Perspective of Digital Transformation

Amidst the rapid evolution and broadening adoption of information technology in China, the education sector is undergoing unprecedented transformation. While the digitalization of Chinas education industry is advancing swiftly, it is encountering various challenges that require ongoing attention and solutions. Promoting educational equality between cities and villages to reduce the difference is a critical component of this transition. The urban-rural education disparity significantly impedes the pace and quality of digital transformation of the education industry in China. Rural regions encounter issues such as inadequate infrastructure, unequal allocation of educational resources, and insufficient digital literacy among teachers. Implementing tutorial systems, establishing Professional Learning Communities (PLCs), and adopting the three classrooms model can effectively address these challenges. Collaboration among schools, government entities, and broader society is essential to promote educational equity, advance educational modernization, and cultivate talents tailored for future societal needs. Studying the challenges faced by Chinas education industry during its digital transformation phase, along with corresponding strategies, is pivotal for developing innovative teaching models and approaches. This endeavor fosters the evolution of educational content and instructional methods, aligning them with the swiftly changing social and economic landscape.

Research on Statistical Assessment Methods of Stock Investment Value-Taking Education Industry as Example

Abstract: This paper selects the financial statement data of 18 listed companies in the field of education and selects 9 financial indicators from the four aspects of solvency, profitability, development ability and operation ability that can reflect the comprehensive strength of listed companies. Finally, the stocks of 18 listed companies were divided into three categories: high-value stocks, potential stocks and low-value stocks according to the comprehensive strength of the companies. The results show that: (1) From the comparison between the rankings of the selected 18 stocks combined with the traditional methods by combining principal component analysis and entropy weight method, it can be seen that for the comprehensive multi-index evaluation analysis in the past five years, the ranking agreement between the two methods can reach 80% or more. Due to the unstable fluctuations of the stock market, the consistency between the analysis results and investment recommendations obtained in this paper and the actual investment situation of the stock market can also exceed 60%. (2) From the results of cluster analysis, Chuanzhi Education, Entrepreneurship Dark Horse, Guoxin Culture, China Hi-Tech and Action Education are all high-value stocks in the education category, while Meijim, Qinshang Co., Ltd., and Kaiwen Education are potential education stocks.

Research on the Construction of Industry Education Integration Industrial College and Dynamic Adjustment of Majors

In the context of the national comprehensive promotion and implementation of the strategy of revitalizing the country through science and education, strengthening the country through talents and innovation driven development, based on the local application-oriented university’s own school running orientation and regional development goals, relying on the school running foundation of the relevant advantageous majors of the university, taking the construction of modern industrial college and the dynamic adjustment of majors as the way to explore a new type of higher education development model that adapts to the development of the times and the needs of the industry, strengthen the synergy between the education system and industry departments, optimize the structure of disciplines and majors, adjust the direction of talent training, achieve the overall goal of matching and promoting each other between disciplines and the industry chain, innovation chain, and talent chain, and effectively enhance the adaptability of talents to high-quality economic development.

Analysis of Channel Promotion of New Oriental Online Education in the Internet Era

With the rapid development of information technology and the popularization of the Internet, the field of education is experiencing unprecedented changes. Online education, as an important product of this change, has quickly become the new darling of the global education market with its characteristics of flexibility, convenience and personalized teaching. This paper takes New Oriental as a case study on the channel promotion strategy of online education industry. First of all, explain the channel marketing environment theories, including PEST theory, Marketing related theories, including the Omnichannel theory in the Internet era, and explain their characteristics and importance, and understand the marketing channel status of New Oriental online education based on the analysis of 4P marketing theory and the combination of questionnaire and interview conclusions as primary data and secondary data. Second, this study combines qualitative analysis with quantitative analysis. Quantitative analysis, interview records and literature analysis were carried out through the chart data collected by the questionnaire, and qualitative analysis was adopted in the data provided by the official website of New Oriental. The existing problems in channel promotion of New Oriental online education can be find and this research will try to sort out a reasonable solution.

Exploring New Paths for the Internationalization of Vocational Colleges in the Era of Artificial Intelligence

This study analyzes the internationalization development changes of one vocational college in China over the past 10 years. Based on the new requirements and trends of vocational education in the era of artificial intelligence , effective suggestions are proposed for the internationalization development of vocational education from the aspects of establishing international consulting organizations, attracting international capital investment, learn from other vocational colleges, formulating international cooperation plans, building industry education integration communities, constructing international curriculum resource databases, shortening students' learning time in school, changing classroom learning modes, increasing online practical training time, and building international cooperation alliances. This study is expected to promote the improvement of vocational colleges in curriculum construction, teaching resources, learning modes, school enterprise cooperation, and platform construction, ultimately achieving sustainable development of vocational education.

Revolutionizing Education through AI: Alleviating Educator Stress, Personalizing Learning, and Enhancing Economic Sustainability

The current education industry faces critical challenges, including overwhelming educator workloads, a lack of personalized student learning, and unsustainable financial models. This paper explores how artificial intelligence (AI) can offer solutions to these systemic issues, focusing on three key areas: reducing teacher burnout, enhancing student engagement through personalized education, and improving the financial sustainability of educational institutions. The study investigates the advantages of adaptive learning systems for customizing educational experiences for each student, the impact of automated tools in easing administrative burdens on teachers, and the optimization of institutional resources to lower operating costs through a thorough analysis of current AI-based projects. These results demonstrate how AI has the potential to revolutionize conventional educational approaches. Still, they also show that to fully realize its promise, more extensive systemic changes are required.

A systematic literature review and plans for further study on smart mobile learning system acceptance

This paper’s aim is to conduct a systematic review of the state of scholarly research on smart mobile learning acceptance (SMLS) and suggest areas for future research. Fifty-five papers from 2019 to 2022 were used for the systematic literature review. The theories of the SMLS acceptance, publication patterns by region, industry, sample type, as well as the study methodology obtained from content analysis are presented. The results revealed about 18 different theories were identified with TAM being the most frequently employed model (n = 23). Three different methods (quantitative, qualitative and mixed-method) were used by the scholars, with questionnaire survey being the main method used to collect data (n = 50). Most of the researchers used structural equation modelling (SEM) to analyse their data. The Asian region has the most studies on SMLS (n = 33), while the education industry happens to be the main focus of the researchers (n = 45). This study's findings may be utilized to enrich theoretical and methodological advancements, as well as to provide important insights for policy creation by developing strategies and frameworks for the acceptance of SMLS. By putting all the relevant knowledge of SMLS together from diverse industries, this study enhances the academic landscape.

Exploration of the model of deepen industry–education integration in the digital economy era

PurposeWhile the industry–education integration has achieved significant results, it also faces many prominent problems. The current problems include some projects prioritizing research and development over education, insufficient breadth and depth of cooperation and a lack of quality monitoring and evaluation mechanisms. Breaking through these problems to deepen industry–education integration is an important issue that urgently needs to be studied.Design/methodology/approachTaking the second batch of 10,283 industry–education integration projects of the Ministry of Education in 2019 as a case study, the problems existing in the Chinese industry–education integration projects are analyzed. We should make full use of the advantages and resources in the era of digital economy to seek the right path to deepen the integration of industry–education.FindingsThe study finds that governments can leverage the advantages and opportunities of the digital economy to deepen the reform of industry–education integration.Originality/valueThe policy suggestion is to deepen the mechanism of multi-party linkage and collaborative education, actively build an industry–education integration service platform and promote the two-way docking of industry education supply and demand.