Education Industry Research Articles

Academic Intrapreneurs: Exploring the Antecedents of Academic Intrapreneurial Intention

It is widely accepted that intrapreneurial behavior is imperative for any type of organization to maintain sustainability in terms of growth and performance. In this context, it is also important to investigate the factors that play a role in promoting intrapreneurship within dynamic industries, such as the higher education industry. For this purpose, this study aimed to explore the antecedents of intrapreneurial intention in academic staff to provide theoretical as well as practical contributions for universities. We used a survey method to collect data with a sample consisting of 236 academic staff from universities in Northern Cyprus, and tested hypotheses through three different structural models by using structural equation modeling (SEM). Following a deductive approach to establish constructs in the models, we treated academic intrapreneurial intention as the dependent variable, and self-leadership, self-efficacy, and psychological capital as the independent variables. In addition, attitudes toward intrapreneurship, subjective norms, and perceived behavioral control were individually tested as mediating variables. The results of this study indicate that self-leadership, self-efficacy, and psychological capital have direct and indirect effects on academic intrapreneurial intention, and attitudes toward intrapreneurship, subjective norms, and perceived behavioral control play a mediating role between these antecedents and academic intrapreneurial intention.

Employee Well-Being in Higher Educational Institutes of India –A Study of LPU Employees

With rising expectations for high-quality instruction, research output, and global competitiveness, India's higher education industry has seen significant change recently. Amidst these shifts, there is now more attention on the topic of employee well-being in higher education institutions. The nature of work in academia settings, with its high standards, demanding schedules, and frequently difficult workloads, calls for a closer look at the variables affecting the wellbeing of those who contribute to the mission of LPU using Lovely Professional University as an example, this case study offers a distinctive viewpoint on employee well-being in the context of Indian higher education. LPU's quick development, wide range of academia programmers, and dedication to building a lively community make it an engaging place to learn about the difficulties associated with employee well-being in the context of an evolving educational institution. In an environment where demands are high, and stress levels can be significant, prioritizing the wellbeing of faculty and staff is not just a moral support but also essential for maintaining productivity, creativity, and overall effectiveness organizational. Keywords: employee well-being, higher education, educational institutes.

Burnout Phenomenon on Principals: Impact on Behavior and its Mitigation Strategies

Objective: This research was conducted to gain further understanding of the real experiences (life experiences) of private school principals in order to reveal the substantive meaning of the entire process of their experience of the burnout phenomenon through personal interactions with the principals who were the research subjects which were then articulated through a burnout model that explains more about the processes and factors that play a role in the dynamics of the burnout phenomenon that apply specifically to the subject of school principals. Theoretical Framework: Qualitative research conducted using the phenomenological approach. Research validity was obtained through triangulation of data sources and cross perspectives. Research reliability was obtained through data saturation and in-depth-understanding of the subject from the selected informants. Method: 12 school principals that have worked for around 5-17 years are selected through criteria matching for interviews. This research uses narrative analysis of stories obtained from in-depth interviews with research informants. Result and conclusion: This research has presented evidence that although the role of a leader is very important to motivate and improve the performance of the people being led, in fact the same thing also applies vice versa, the more the people being led or managed can be cooperative with the leader, the more positive the performance of a leader, especially for private school principals in Indonesia. On the other hand, educational foundations as the authority to supervise school principals also have a role in creating a conducive situation for school principals to carry out their duties as well as possible. Research Implications: This research point out several potential steps that need to be taken by educational foundations or organizations that manage an educational institution. This is to ensure that anyone who serves as a school principal can play their role appropriately, efficiently, and produce added value to the organization in the long term. Originality/Value: The findings of this research reinforce theories regarding the burnout phenomenon that have existed so far, by enriching and clarifying the understanding of the meaning of the phenomenon by which the burnout phenomenon occurs at the leadership level in education industry nowadays.

Mechanics 4.0 and Mechanical Engineering Education

Industry 4.0 is an industrial paradigm that is causing changes in form and substance in factories, companies and businesses around the world and is impacting work and education in general. In fact, the disruptive technologies that frame the Fourth Industrial Revolution have the potential to improve and optimize manufacturing processes and the entire value chain, which could lead to an exponential evolution in the production and distribution of goods and services. All these changes imply that the fields of engineering knowledge must be oriented towards the concept of Industry 4.0, for example, Mechanical Engineering. The development of various physical assets that are used by cyber-physical systems and digital twins is based on mechanics. However, the specialized literature on Industry 4.0 says little about the importance of mechanics in the new industrial era, and more importance is placed on the evolution of Information and Communication Technologies and artificial intelligence. This article presents a frame of reference for the importance of Mechanical Engineering in Industry 4.0 and proposes an extension to the concept of Mechanics 4.0, recently defined as the relationship between mechanics and artificial intelligence. To analyze Mechanical Engineering in Industry 4.0, the criteria of the four driving forces that defined mechanics in the Third Industrial Revolution were used. An analysis of Mechanical Engineering Education in Industry 4.0 is presented, and the concept of Mechanical Engineering 4.0 Education is improved. Finally, the importance of making changes to the educational models of engineering education is described.

Effectiveness of work‐based learning training in secondary family and consumer sciences

AbstractThis mixed methods study investigated the effectiveness of work‐based learning (WBL) experiences in secondary Family and Consumer Sciences (FCS) programs, focusing on bridging the gap between secondary education and workforce readiness. Participants included secondary FCS teachers from public middle and high schools in Texas. The findings highlight WBL integration challenges due to varying levels of awareness, training, and industry partnerships among FCS educators. Enhancements in teacher training and stronger industry–education partnerships are recommended to improve the quality and diversity of WBL, aiming to better prepare students for dynamic workforce demands.

The Effect of Self-identity and Positive Emotion Intervention on College Students' English Reading Study on the Correlation between Test Scores

The aim of this study was to investigate the impact of self-identification and positive emotion intervention on college students' English reading comprehension. In the context of globalization, proficiency in English reading is crucial for effective cross-cultural communication and career advancement. However, previous research has primarily focused on the influence of self-efficacy on long-term learning, neglecting the examination-specific utilization of psychological adjustment strategies (such as positive emotional intervention) and its correlation with test performance and scores among students. Therefore, this study posits that through psychological adjustment and alleviation of test anxiety, positive emotional intervention and self-identification can facilitate improvements in English reading comprehension skills as well as enhance test coping abilities. A total of 61 non-English major college students were randomly selected and divided into two groups: “moderate self-identification group” and “high self-identification group”. Each group was further subdivided into an intervention group and a control group. The statistical software SPSS was employed to conduct descriptive statistics, correlation analysis, cluster analysis, and difference analysis in order to elucidate the relationship between positive emotions, self-identification, and English reading scores. These findings aim to provide novel insights for both the education industry and the psychological field. The results revealed that positive emotion intervention significantly influenced students' English reading test scores across different levels of self-identification. Specifically, students with a moderate level of self-identification exhibited improved performance after receiving positive emotion intervention, whereas those with a high level of self-identification maintained better performance without additional situational motivation. Furthermore, it was observed that reading materials of varying difficulty levels also impacted reading comprehension at an intermediate level of English proficiency. Overall, this study confirms the efficacy of positive emotion intervention in assisting students in effectively coping with challenges and enhancing their accuracy.

Post-Pandemic Support for Special Populations in Higher Education through Generative Artificial Intelligence

The sudden closure of schools in response to the COVID-19 pandemic prompted education authorities to quickly explore new teaching and learning methods. This disruption to traditional classroom settings led to the implementation of innovative strategies that assist educators and students in developing abstract thinking skills. In the wake of the ongoing impact of the pandemic on education, one crucial innovative approach that educators should embrace is generative Artificial Intelligence (AI). Generative AI represents a significant transformation in the education sector, offering human-like content tailored to meet the individual needs of students, educators, and institutions. While the integration of generative AI post-pandemic is inevitable, this chapter highlights the myriad opportunities it presents for the education industry, particularly in terms of the strategies it provides for colleges and universities to recruit and engage diverse student populations through personalized instruction and equal access to opportunities. In the evolving landscape of post-pandemic education, technology that supports collaboration, critical thinking, and real-world educational connections is no longer considered a futuristic concept. While educational practices continue to evolve, the substantial entry of generative artificial intelligence into education is both distinct and unavoidable. With technological advancements come questions of digital equity and effective implementation. This chapter underscores how generative artificial intelligence can bridge these gaps by creating customized learning experiences that benefit educators and enhance access to knowledge. The emergence of generative artificial intelligence as a technological support tool is poised to bring about significant changes in education. Generative AI has the potential to drive the necessary shift towards personalized instruction and meaningful student interactions. This chapter seeks to provide a comprehensive overview of the importance of exploring generative AI strategies as the education sector grapples with the repercussions of the COVID-19 pandemic. It presents insights into current and future opportunities offered by generative artificial intelligence to support innovative teaching practices, foster equitable growth, and facilitate the transition to educational systems on a global scale.

The Effect of Employee Involvement Participation in Directive Decision Making and its Impact on Employees Creativity: A Case Study of Higher Education in Oman

Purpose: The purpose of this study is to understand how the private higher education sector in Oman is adapting to global trends and industrial partnerships to prepare students for the workforce. Specifically, it aims to explore the relationship between employee involvement in participation, directorial decision-making, and employee innovation in this context, and how these factors contribute to differentiating institutions in a competitive environment. Method: This study employs quantitative analysis to investigate the relationships between employee involvement, directed decision-making, and innovation within Oman's private higher education sector. Through the use of surveys and statistical methods, the study explores how directorial decision-making moderates the link between employee involvement and creativity. Results and Conclusion: The findings suggest that directorial decision-making plays a significant moderating role in the relationship between employee involvement and creativity. All proposed hypotheses were supported, indicating a positive correlation between employee participation in decision-making processes and innovation. These results underscore the importance of directorial strategies that encourage employee involvement as a catalyst for creativity within the sector. Originality/Value: This study contributes uniquely to the body of knowledge on employee creativity in the private higher education industry by highlighting the critical role of leadership decision-making styles in fostering an innovative work environment. It provides empirical evidence supporting the need for policy reforms that encourage participative decision-making processes, thereby enhancing the sector's competitiveness and its ability to meet the demands of the global workforce. Through its insights, the study offers a foundation for further research and policy development aimed at nurturing innovation in higher education.

Public Opinions on ChatGPT : An Analysis of Reddit Discussions by Using Sentiment Analysis, Topic Modeling, and SWOT Analysis

ABSTRACT The sudden arrival of AI (Artificial Intelligence) into people's daily lives all around the world was marked by the introduction of ChatGPT, which was officially released on November 30, 2022. This AI invasion in our lives drew the attention of not only tech enthusiasts but also scholars from diverse fields, as its capacity extends across various fields. Consequently, numerous articles and journals have been discussing ChatGPT, making it a headline for several topics. However, it does not reflect most public opinion about the product. Therefore, this paper investigated the public's opinions on ChatGPT through topic modelling, Vader-based sentiment analysis and SWOT analysis. To gather data for this study, 202905 comments from the Reddit platform were collected between December 2022 and December 2023. The findings reveal that the Reddit community engaged in discussions related to ChatGPT, covering a range of topics including comparisons with traditional search engines, the impacts on software development, job market, and education industry, exploring ChatGPT's responses on entertainment and politics, the responses from Dan, the alter ego of ChatGPT, the ethical usage of user data as well as queries related to the AI-generated images. The sentiment analysis indicates that most people hold positive views towards this innovative technology across these several aspects. However, concerns also arise regarding the potential negative impacts associated with this product. The SWOT analysis of these results highlights both the strengths and pain points, market opportunities and threats associated with ChatGPT. This analysis also serves as a foundation for providing recommendations aimed at the product development and policy implementation in this paper.

Research on the Training Path of Automotive Maintenance Field Engineers under the Background of Industry Education Integration

With the rapid development of technology, the demand for on-site engineers in the automotive maintenance industry is constantly upgrading. This article is based on the background of industry education integration and explores the training path for automotive maintenance on-site engineers. Firstly, the article analyzes the current development status of the automotive maintenance industry and the demand for talents. Then, it elaborates on the importance of industry education integration in the training of automotive maintenance on-site engineers. Through research and practice, this article proposes several training strategies and suggestions aimed at providing strong talent support for the sustainable development of the automotive maintenance industry.

DESIGNING ON E-LEARNING LESSONS FOR DEVELOPING IN HIGHER-ORDER THINKING SKILLS

The book “Designing e-Learning Lessons to Develop Higher-Level Thinking Skills”, this book is suitable for those involved in the education industry. Whether it be teachers, including students interested in studying Education, computers, or Information technology. Especially students in the Faculty of Education or Education. To create learning skills that promote advanced thinking can be used to develop innovative research on educational media and can effectively create future educational media. This book is divided into 12 chapters, consisting of basic knowledge, elements, types, and standards of e-learning lessons. Including teaching strategies, organizing the learning environment, developing advanced thinking skills, principles of designing lesson screens, and programs for developing e-learning. In addition, lesson evaluations, research related to the lesson, and trends in the development of e-learning lessons in the future are presented. It can be seen that this book has content that covers both the part of students and learning. Teacher and teaching section Including research and future development leading to learning that promotes advanced thinking and designing teaching and learning materials that are up to date with the modern era.

Why Does China Implement the "Dual Reduction Policy" to Restrict Educational Industry? An Explanation Based on Marxist Political Economy

Karl Marx and Friedrich Engels proposed in "The Communist Manifesto" the viewpoint of the inevitable demise of capitalism, Marxist political economy serves as an explanation and justification of this viewpoint. Marxist political economy forms a complete logical system, which elucidates the developmental path of capitalist collapse through three stages: surplus value, free competition, and monopoly capitalism. The theory of surplus value explains the intrinsic essence of capitalist society, wherein capitalists profit by exploiting labor, while free market competition and monopoly capitalism are external manifestations of the operational laws of capitalist society. In recent years, the disorderly expansion of educational capital in China has shown clear monopolistic tendencies. At this juncture, China promptly implemented the "dual reduction policy" to restrict the expansion of educational capital, which is a practical application of Marxist political economy. From the perspective of Marxist political economy theory, China's restrictions on educational capital serve three purposes: firstly, to prevent capital from excessively depriving laborers of surplus value; secondly, to avoid cyclical economic crises brought about by unregulated capital competition; thirdly, to prevent monopolies and thereby avert both economic crises and the social crises brought about by monopolies.

Practice of Open Regional Industry Education Integration Practice Center

Practice of Open Regional Industry Education Integration Practice Center

When and How does in‐role pro‐environmental behavior spill over to extra‐role behavior: Two experimental studies in the retail and education industries

AbstractBy integrating theories of goal proximity and crowding‐out, this research investigates how and when employees' performance of in‐role pro‐environmental behaviors will spill over to future engagement in extra‐role pro‐environmental behaviors. Using two experiments with employees from the retail (N = 338) and education (N = 448) industries, we found a conditional positive spillover effect, mediated by pro‐environmental goal commitment. More specifically, when employees with low intrinsic pro‐environmental motivation received feedback that they had progressed in their in‐role pro‐environmental performance, their extra‐role pro‐environmental behavior intentions increased due to an increased commitment to the pro‐environmental goal. However, when employees had high intrinsic pro‐environmental motivation, this spillover effect was negative (Study 1) or non‐significant (Study 2). To summarize, the positive spillover effect only occurs when employees are not highly intrinsically motivated. Our findings uncover a missing piece in organizational environmental management literature and carry important implications for employee‐oriented initiatives.

Boarding House Property Market Trends and Investor Preferences in Boarding House Development: A Comparative Study with Web Scraping

The development of the education industry and other supporting sectors scattered in the Sleman Regency - Indonesia has influenced the mushrooming of boarding houses. It is essential to use business intelligence for boarding house investors to analyze market trends to produce a boarding property business that is not inferior to its competitors. This study aims to contribute to the boarding house investors to obtain information on the characteristics, relationships, and effects of boarding house facilities on the rental prices set to remain competitive in the market. A total of 658 boarding house data from an e-commerce platform was extracted using business intelligence web scraping to determine the characteristics of the boarding house market trend in Sleman Regency. Multinomial Logistic Regression was used to find out the facilities for rooms, bathrooms, shared services and equipment, and common rooms, making the difference in rental prices for superior, exclusive, intermediate, and standard boarding house classes. The Multinomial Logistic Regression analysis results revealed that boarding houses with high rental prices were more concerned with things directly felt by tenants (everything about their room needs). Meanwhile, boarding houses with affordable rental prices prioritized things that general tenants could use/utilized.

Study on the Communication Path of the New System of Quality-oriented School Music Education in Chinese Music Education Institutions

With the deepening reform of quality education and art education in the new era, a new system of music education in quality-oriented schools has emerged. In order to effectively explore the dissemination path of the new system of quality-oriented music education in Chinese music education institutions, this paper summarizes the current development status of the new system of quality-oriented school music education. Starting from the sources and characteristics of the music education system of quality-oriented schools, it takes Beijing IGW Love and Country Art Center as a case study, analyzes the development status and user profile of the Chinese music education industry, and summarizes the promotion strategy of the new system of teaching, in order to explore a sustainable development path for the dissemination of the new system of quality-oriented school music education in Chinese music education institutions.

The Mechanism of Over-Equilibrium in China's Shadow Education Market and Its Social Crisis

In China, many problems seen in the compulsory education period are caused by the over-equilibrium of the shadow education market, i.e. people’s excess demands for and excess supply of shadow education. The over-equilibrium is the result of excess demand and excess supply in the shadow education market. The excess demand is attributed to unbalanced human capital ROI, strong signal functions of diplomas, vicious competition and ignorance of leisure. The disordered development of capital in the shadow education industry leads to excess supply. The excess demand and excess supply give rise to great scale of shadow education, harming the students, parents, teachers, schools and the society. The policy to ease the burden of excessive homework and off-campus tutoring for students undergoing compulsory education (the “Double Reduction Policy”) is effective in solving the over-equilibrium in the shadow education market from the perspectives of both demand and supply.

The Measures of Cultivating Students' Mathematics Application Ability in College Mathematics Teaching

Under the background of the new situation, the comprehensive ability of advocating quality-oriented education and talents cultivation, puts forward higher requirements on college students, the mathematics as a compulsory course in university, its status is self-evident, it can effectively promote students' thinking ability, innovation ability, the progress of the ability to solve the problem, then, still need professional teachers attaches great importance to the application ability training, as education the main line, To improve the traditional teaching malpractice, create a good teaching environment. This paper takes mathematics application ability as the theme, discusses the existing situation and concrete solutions, hoping to provide opinions and suggestions for the education industry.

Improving the Cardiovascular Endurance of Teacher Education Students through the Utilization of the TikTok Application

Driven by the widespread usage of mobile applications, the expansive development of TikTok application has carried considerable challenges and opportunities to the Physical Education industry. Hence, it is imperative to examine the usefulness of this application to mitigate the low cardiovascular endurance of college students since the conduct of research to improve their physical activity engagement is still significant. Thus, this action research sought to improve the cardiovascular endurance of undergraduate teacher education students using the TikTok application as a tool for their physical activity. This study utilized a quantitative approach, specifically, the pretest-post-test design which is classified as quasi-experimental research. Using the normative data from YMCA 3-minute step test, 50 participants from the Bachelor of Elementary Education (BEEd) enrolled in their physical education classes were determined to be qualified based on their pre-test scorecards. Two groups were formed out of them: 25 in the experimental group who were exposed to the intervention and another 25 in the control group who were instructed using the standard discussion. Descriptive statistics and ANOVA-type test analysis were utilized using participants' pre-test and post-test results to ascertain the efficacy of the intervention. Results unveiled that the intervention has significantly improved the experimental group's post-test scores compared to the control group since the post-test results of the control group remained almost stagnant, indicating the intervention's effectiveness by rejecting the null hypothesis. Therefore, this action research inferred that the intervention has efficiently strengthened the cardiovascular endurance of the 1st year BEEd students.

Individual motivation and knowledge sharing: the hindering effect of perceived costs in higher education

ABSTRACT Knowledge sharing among academic staff allows universities to foster innovation and achieve competitiveness in the higher education industry. Based on the Theory of Planned Behavior, this study developed an integrated model to investigate the impact of individual motivation on academics’ attitudes and intentions to share knowledge, incorporating both perceived costs (loss of knowledge power, time and effort) as well as benefits (expected association, enjoyment in helping others) associated with knowledge sharing. Data was collected from 532 faculty staff in higher education institutions in China through an online questionnaire and analyzed using partial least squares structural equation modeling. The findings indicated that loss of knowledge power as well as time and effort negatively impacted academics’ attitudes toward knowledge sharing while expected association and enjoyment in helping others positively impacted attitudes. Additionally, attitudes significantly contribute to enhancing academics’ intentions to share knowledge. The study contributes to the extant literature by highlighting the hindering role of perceived costs in developing positive attitudes toward knowledge sharing which have not been empirically verified in previous studies. In addition, the study provided recommendations on how knowledge sharing can be encouraged among academics by minimizing costs while maximizing benefits associated with knowledge sharing.