Higher Education Management Research Articles

Strategic Policy Towards a World-Class University: An Indonesian Islamic University Experience

A world-class university is a primary goal of most universities, including Islamic universities in Indonesia. Research about a strategic policy of universities toward a world-class university (WCU) has been conducted. However, few researchers have explored the strategic policy of Islamic universities to achieve world-class status, particularly in Indonesia. Responding to the gap, this research aims to examine the strategic policy implemented by an Islamic university in Indonesia (i.e., UIN Sunan Kalijaga Yogyakarta) toward a world-class university. In addition, this research also reveals potential challenges encountered by the university in becoming a world-class university. This research employed a case study design involving selected three informants: (1) the head of quality assurance of UIN Sunan Kaliaga Yogyakarta; (2) an expert in strategic policy of higher education; and (3) an expert of policy and management in higher education. An in-depth interview and Focus Group Discussion (FGD) were conducted with the informants to gather the required data. The findings depicted that UIN Sunan Kalijaga Yogyakarta has implemented several indicators of a world-class university, such as designing an international curriculum, building partnerships with international universities, and organizing international standardized programs of human resources development. However, the university also encountered several challenges, such as a lack of internationally reputable professors, a lack of international students, and a lack of independence in terms of facility and financial issues. In conclusion, UIN Sunan Kalijaga Yogyakarta has not been recognized as a world-class university, but it is continuously developing toward a world-class status. This research offers both theoretical and practical contributions to developing Islamic universities in Indonesia toward a world-class university.

Application of Mentoring and Entrepreneurship Management in Higher Education

Mentoring and entrepreneurship management are characteristics that must be promoted in the organization be-cause the success of a business depends on them. Entrepreneurship is an innate quality of personality; however, it can be developed through education. This paper aims to show the initial steps to develop entrepreneurship and mentoring programs within today's Peruvian universities. For this, we count on the support of four specialists who determined the essential factors for designing academic entrepreneurship programs in Peru. They also serve to evaluate the importance of these concepts. From a quantitative point of view, we use the Neutrosophic AHP technique to calculate the weights to measure the importance of each of these factors in the teaching of these concepts on the university campuses of Peru. The Neutrosophic AHP method is the generalization to the neutro-sophic framework of the well-known AHP, where indeterminacy is included within decision-making.

Application of Ecological Application in Higher Education Management

Application of Ecological Application in Higher Education Management

Positive Influence on Innovative Work Behavior in Higher Education, Indonesia

This study examines the effect of work motivation, organizational culture, and soft skills on innovative work behavior. Four hundred fifty lecturers obtained the research sample using a purposive sampling technique at six state universities in Indonesia as research respondents. Quantitative data were collected through google Forms and analyzed using the PLS-SEM method to evaluate the measurement and structural models of the latent research variables. The validity (convergent and discriminant) and reliability tests have met the measurement criteria. The variability of the innovative work behavior construct can be explained substantially at 63.4% by the three latent variables. The hypothesis test states that work motivation, organizational culture, and soft skills competence positively and significantly affect innovative work behavior. This study concludes that organizational culture acts as a catalyst for creating soft skills among university lecturers. So higher education management needs to build maximum involvement of all lecturers to continue to improve their soft skills.

The Influence of Big Data on Higher Education Management and the Optimization Management Analysis

The Influence of Big Data on Higher Education Management and the Optimization Management Analysis

Research on Application of Artificial Intelligence in Higher Education Management

Research on Application of Artificial Intelligence in Higher Education Management

Quantitative Analysis and Modeling of Student Innovation Capability in Higher Education Management in an Innovative and Entrepreneurial Environment

Abstract Colleges and universities often focus on cultivating talent, a practice that directly contributes to the lack of creativity among their students. In light of this, this paper aims to promote education reform and enhance students’ capacity for innovation. This paper constructs the evaluation index system and model of innovation ability of students in colleges and universities to promote the cultivation of innovative talents. Based on the AHP model to determine the index weight of each evaluation factor, with the help of gray correlation to analyze the relationship of each evaluation index, the decision matrix is established, and the gray comprehensive judgment model is constructed. We establish the evaluation sample matrix by using the whitened weight function to determine the evaluation gray class. We then calculate the gray evaluation coefficients, weight vectors, and weight matrices to arrive at a comprehensive evaluation of innovative ability. This paper employs the Hebei University of Technology in China as its research site and applies its methodology to evaluate the innovation capacity of its students. The comprehensive evaluation value of the students’ innovative abilities is only 6.67, placing them at the medium level. The maximum relative error between the evaluation mean value of each specific index at the index level and the expert evaluation result is 1.84%. In terms of the satisfaction of the evaluation method, the satisfaction mean value of this paper’s method exceeds that of the expert evaluation method in the dimensions of the evaluation concept, the evaluation subject, the evaluation method, the evaluation indexes, the evaluation procedure, and the application of the evaluation result, which are respectively 0.14, 1.25, 1.43, 0.7, 1.45, and 0.49.

Identifying Dimensions and Components for the Enhancement of Virtual Educational Leadership in the Islamic Azad University Branches of Tehran Province Using Thematic Analysis

Purpose: The primary objective of this article is to identify the dimensions and components for the enhancement of virtual educational leadership in the Islamic Azad Universities of Tehran province using thematic analysis. Methodology: The research method employed is mixed (qualitative-quantitative). In addition to document analysis, the thematic analysis technique with MAXQDA12 software was used to identify factors and components. The study population included all faculty members with at least an assistant professorship in educational management, higher education management, and educational technology, as well as administrators of Islamic Azad Universities, with theoretical saturation achieved after 15 interviews. Ultimately, base, organizing, and comprehensive themes were extracted, and in the quantitative section, structural equation modeling was used to determine the impact and ranking of the dimensions and components. Findings: Based on semi-structured interviews, four dimensions (knowledge of educational leadership in virtual environments, performance management and coaching in virtual environments, team leadership ability in virtual environments, ethical behaviors in virtual environments) and 24 components (organizing themes) were identified for virtual educational leadership in the Islamic Azad Universities of Tehran province. Subsequently, based on a researcher-made questionnaire, it was determined that the dimension of ethical behaviors in virtual environments with a coefficient of 0.905, team leadership ability in virtual environments with a coefficient of 0.879, performance management and coaching in virtual environments with a coefficient of 0.877, and knowledge of educational leadership in virtual environments with a coefficient of 0.805 are prioritized from first to fourth, respectively. Conclusion: The findings underscore the significance of adaptability, digital proficiency, and effective communication as pivotal traits for successful virtual leaders. Notably, the study also sheds light on the potential for gender to influence leadership effectiveness in virtual environments, with female leaders possibly having an edge in fostering collaboration and inclusivity.

PUCPEI Asset Management of SCMZ University: Basis for Enhanced Action Plan

Fixed assets ensured the stable and orderly progress of colleges and universities. In the current landscape of university asset management, issues such as redundant acquisitions and underutilization became increasingly prevalent. Consequently, efficient stock management and rigorous control of asset increments became imperative. The primary objective was to bolster fixed asset management, striving to achieve the most economical and efficient utilization of funds. The study critically evaluated the asset inventory and utilization at Sichuan Minzu University through a combined approach of literature review and questionnaire surveys, pinpointing inefficiencies in asset management practices. Introducing the "PUCPEI" framework—plan, use, check, process, evaluate, and improve—it provided a holistic model for effective fixed asset management in higher education, backed by innovative strategies. Through detailed analysis and evaluation of the PUCPEI model, the research unveiled issues at different stages and proposed strategic improvements. The findings offered valuable insights and clear direction for refining asset management processes, aiming to boost efficiency, quality, and overall organizational effectiveness. Overall, the study advanced the development of effective management practices and brought new research perspectives and innovations to the field of asset management. It not only provided a valuable resource for academics but also laid the foundation for achieving more excellent and efficient asset management practices.

Artificial Intelligence Based Decision Support System for Education Management in Higher Education

Universities face challenges in improving the effectiveness of lecturer performance evaluation to support education and research development. Artificial Intelligence (AI) offers the potential to optimize the evaluation process through automation, big data analysis, and smarter decision-making. This research aims to identify and implement strategies for the implementation of artificial intelligence in lecturer performance evaluation systems in higher education. The main focus is to improve the objectivity, accuracy, and efficiency of the evaluation process, so as to provide more meaningful feedback to lecturers. This research uses qualitative and quantitative approaches. Data were obtained through literature studies, interviews with education and technology experts, and analysis of existing lecturer performance evaluation data. An AI system was developed to process and analyze evaluation data by utilizing machine learning algorithms to provide more accurate evaluation recommendations. The result of this research is that implementing artificial intelligence in the lecturer performance evaluation system succeeded in improving the accuracy of the evaluation. The system is able to provide recommendations for lecturer development based on a thorough analysis of their performance. In addition, the time efficiency of the evaluation process was also significantly improved. The conclusion of this study shows that artificial intelligence implementation strategies can be successfully applied in lecturer performance evaluation systems in higher education. With increased objectivity, accuracy, and efficiency, this system makes a positive contribution to human resource management in the academic environment. It also encourages further implementation of AI technology in lecturer performance evaluation to improve the quality of higher education.

THEORETICAL BASIS OF RELATIONSHIP MARKETING OF UKRAINIAN HIGHER EDUCATION INSTITUTIONS

The main purpose of the article is to provide a thorough theoretical consideration of the concept of relationship marketing management of higher education institutions in modern conditions. The authors aim to define the theoretical foundations of this concept by analysing different approaches to its definition by different scholars, and to highlight the prerequisites for the formation of the concept of relationship marketing management in higher education institutions. In the article the authors consider in detail the nature and theoretical foundations of relationship marketing in Ukrainian universities. The paper highlights the prerequisites for the formation of the concept of relationship marketing management in Ukrainian higher education institutions. Particular attention is paid to the context of relationship marketing management in the context of the crisis in Ukraine due to the COVID-19 pandemic and the military conflict. The publication explores how these challenges affect the implementation of the relationship marketing management concept and considers key management strategies in this context. The article pays special attention to the study of the impact of digital transformations on the management of relationship marketing in Ukrainian universities. The authors analyse how the introduction of digital technologies creates new opportunities and challenges for relationship marketing management in higher education, especially in times of crisis. Based on this analysis, the authors propose an improved definition of the term "relationship marketing management of a higher education institution". They see it as a continuous process aimed at creating and sustaining value for all participants in this interaction. This improved definition takes into account the strategic orientation of relationship marketing management, which recognises the important role of universities in society. Furthermore, the article discusses the key actions required for the successful implementation of relationship marketing management in universities. The research proposes a classification of participants in the interaction of universities in the process of managing relationship marketing, distinguishing the categories of responsible actors, business partners, observers and regulators. This classification helps structure the university's interaction with various stakeholders and define their role in the context of relationship marketing management.

Exploration of Innovative Paths in Higher Education Management under the Background of New Media

In the era of rapid development of internet new media information interaction technology, various universities have also relied on new media technologies such as online MOOC platforms, Weibo, WeChat, DingTalk, etc., combined with the "online and offline" integrated teaching concept, to reform and innovate the existing subject education, ideological and political education, and employment guidance education models on campus, in order to improve the quality of professional course education, ideological and moral education, and behavior management for college students. Starting from the perspective of "comprehensive education" and information transformation development in higher education management, this paper explores the problems of insufficient systematic institutional system construction, inadequate construction of new media platforms, absence of new media management teams, and outdated management content and methods in current education management for student groups. Based on this, guided by constructivist theory and mass communication theory, and based on new media technology, it strengthens the management platform of new media education in universities The innovative construction of educational management content and workflow drives the improvement of efficiency and quality in educational management work.

Educational Management Innovation by Utilizing Artificial Intelligence in Higher Education

Innovation in higher education is essential to align teaching with technological developments. The use of artificial intelligence (AI) offers great potential to improve education management in higher education through optimizing the teaching and learning process. This research aims to explore how the integration of artificial intelligence in education management can improve the efficiency, effectiveness, and quality of students' learning experience in higher education. The research method includes a comparative analysis between conventional education management systems and systems that utilize artificial intelligence, as well as the implementation of AI technology in the decision-making process in higher education. The results show that the application of artificial intelligence can improve the ability of prediction, data analysis, adaptation, and personalization in curriculum management, student performance evaluation, and the provision of learning resources tailored to individual needs. Artificial intelligence in education management in higher education has opened up various opportunities. Artificial intelligence enables personalization of learning. In addition, the use of artificial intelligence in administration has also improved the efficiency of resource management and administrative processes. The conclusion of this study states that the utilization of artificial intelligence in educational management in higher education can bring about positive changes. By effectively utilizing artificial intelligence technology, universities can improve students' learning experience and optimize administrative efficiency, better preparing students for future challenges. It can also manage education in higher education to create a more adaptive, responsive, and innovative learning environment, which in turn can improve the overall quality of higher education.

Curriculum Development Management: Challenges and Opportunities in the Era of Global Education

Education has now spread globally along with the development of technology. The impact of this education has an influence on curriculum management in higher education. This is a major factor for the world of education so that it can develop the curriculum well and wisely. It also includes constant evolution in technology, social change, and the need for new skills, all of which influence curriculum development. The aim of this research is to analyze the challenges faced by curriculum development management, considering globalization factors, technology and variations in student needs. This research method involves in-depth literature study and analysis of empirical data from a number of educational institutions. The research results show that curriculum development management requires a more adaptive and inclusive approach, considering global skills needs, technology integration, and active participation of all education stakeholders. Opportunities were identified in the ability to increase global access to education through technology, integration of curricula relevant to future needs, and cross-border collaboration in developing holistic curricula. In conclusion, management of curriculum development in the era of global education requires continuous adaptation, based on in-depth analysis of student needs and changes in the global context. The challenge faced is ensuring relevance, agility and inclusivity in curriculum development, while taking advantage of technological opportunities and cross-border collaboration. The limitation of this research is that curriculum development management is only intended for the world of education. We hope that the research conducted by researchers can become a reference and consideration for researchers who wish to conduct research related to curriculum management in education.

Strategies for Institutionalizing Blended Learning in Higher Education Institutions: A Case Study of a Ghanaian Public University

This paper presents strategies adopted by a higher education institution towards the implementation of its BL policy framework. It does so by reviewing the BL implementation process of a public university in Ghana, noting that there are barriers that have impeded the uptake of blended learning, for which reasons it examines the strategies that can be implemented to overcome these barriers. The insights are drawn from a case study involving qualitative approaches, utilizing interviews with stakeholders in the public university. The paper examines the question: How do educational institutions employ Blended Learning (BL) strategies that contribute to the transformation of the university? Using an inductive approach, the researcher interviewed twenty-two management staff and used Strauss and Corbin’s constant comparative method as the analytical technique to analyze the data. This paper develops an institutional strategy framework that can be used by managers in higher education to facilitate change processes, overcome faculty resistance, and embed blended learning in institutions. The seven constructs of this strategic framework consist of institutional vision and approach, promotion and planning, integrated infrastructure, motivation and encouragement, training, assessment and evaluation and sanctions.

Effective Integration of Ideological and Political Education and Student Management in Colleges and Universities Based on the Coupled Coordination Model

Abstract In keeping with contemporary demands, the integration of political and ideological education with student management empowers students to actively embrace the establishment of a superior ideological culture in a more open and laid-back learning environment. The creation of an extensive index system enables the integration and collaboration of political and ideological instruction and student management duties in colleges and universities. The theory of system coupling is used to discuss the level of synergy and consistency of system development. The subjective empowerment method uses the FIAHP technique to determine the subjective weight of the standard. The objective weight of the indicator is determined by using the pull-out grade method. The LPE-SMW coupling coordination model is constructed by combining the weights of the two indexes to solve the weights. The coupling coordination level is evaluated and examined in order to confirm the efficacy of the coupling coordination model in examining the development and integration between political and ideological education and student management in colleges and universities. The coupling degree of coordination in the eastern region is approximately 0.65, and the degree of coupling coordination of the LPE-SMW in the central region has a mean yearly increase of 0.43% over the 20 years, according to the results of the smoothness test of each variable of the LPE-SMW linking coordination degree model, which shows differences at the 1% level. The linking coordination model offers a fresh approach to the creation of successful integration between political and ideological education and student management in higher education by offering a thorough examination of the relationship between the two.

ACTUAL PROBLEMS OF GENDER MANAGEMENT IN HIGHER EDUCATION INSTITUTION

This article explores the complex issues surrounding gender management in higher education. It underlines the significance of gender equality in higher education, emphasizing its crucial role in creating a more inclusive and balanced academic environment. It discusses how addressing gender disparities in educational access, leadership roles, and campus culture can lead to a more equitable and productive academic community.
 In the article, the challenges faced by women in academia are a focal point. It discusses how women often encounter barriers to educational access, professional advancement, and equitable treatment. The article emphasizes the systemic issues that contribute to these challenges, including gender-based biases and discrimination within the academic community. The piece highlights the challenges of unequal access to education for different genders and the limited representation of women in leadership roles within universities.
 The piece advocates for integrating a gender-focused approach in managing educational institutions to ensure equality and inclusivity. It also addresses the need to combat entrenched gender stereotypes and to develop effective strategies for promoting female leadership in academia. The article serves as a resource for understanding and addressing gender disparities in higher educational contexts, emphasizing the importance of systemic change to foster a more equitable academic environment.

Digital innovations in higher education management and mechanisms for high-quality training of students

Abstract With the rapid development of modern information technology, the management mode and cultivation path of higher education have undergone great changes, and this paper explores this change from digital innovation. First of all, this paper analyzes the mechanism of education management and student training in higher education and puts forward the digital innovation path of higher education management and student training in combination with education big data. Then, on the basis of the traditional Apriori algorithm, the AHP-DEMATEL method is introduced for empowerment, and weighted ordered directed constraint Apriori algorithm is proposed for data mining, and the PSO-LS-SVM prediction model is proposed for data prediction by combining particle swarm algorithm for optimization under least squares support vector machine algorithm. Finally, the data on educational management and the effects of student cultivation and innovation on students are mined and predicted, and the relationship between the two is explored. The results show that the improved Apriori algorithm ends up with the number of rules around 20 when the support degree is 0.22, the confidence degree is 0.50, and the interest degree is 0.80, and the relative errors of the prediction are all under the level of 0.03, and the average relative error of the data of the experimental results is 78, and the innovation scores are all above 80. Higher education management and the digital innovation of students’ high-quality training mechanisms show a positive correlation, which can promote the overall development of students.

Research on the Path of High-Quality Development of Student Management under the Explanatory Structural Model Oriented to Solve the Dilemma of Collaborative Governance of Student Management in Colleges and Universities

Abstract This paper firstly studies the student management model, analyzes the mechanism of explaining the operation of the structural model, and proposes the DEMATEL method. Secondly, the ISM model is established on the basis of DEMATEL, and the cross-matrix multiplication method is introduced to explore the diffusion of interrelationships among factors in the system. And finally, the construction of the DEMATEL-ISM model is completed. Then, 11 experts were selected to set up an ISM group to construct the relevant reachability matrix after determining the key factors of the problem, and a multi-layer recursive order structure model was established based on the high-quality management influencing factors. Finally, an empirical examination was conducted to examine the overall effect of student management quality in S colleges and universities. Among the key factors of student management, classroom management was identified as the most critical factor affecting the quality of student management, with the ratio of the most important and the important summed up to 76.1%. Among the classroom student participation in higher education, the highest score was given to participatory behavior, with an interval between [2,5] and a mean value of 3.4808. The quality of student management in higher education was characterized by a high level of dissatisfaction among students and teachers, which was 41.94% and 51.28%, respectively. It can be seen that daily management, moral education, teacher management, and teacher competence are insufficient. Colleges and universities need to strengthen the construction of these 4 aspects and put forward relative coping strategies for the deficiencies that exist.

Analysis of Challenges and Countermeasures for Higher Education Management in the Era of Big Data

Abstract This paper analyzes the factors affecting the efficiency value of human resource management in higher education by using the Tobit regression model, puts forward the hypotheses of the influencing factors, constructs a model of the factors affecting the efficiency of human resource utilization in higher education, and derives the specific correlation coefficients of the influencing factors. After examining the correlation between each dimension of teacher management culture in higher education and teachers’ organizational commitment and its dimensions using Pearson’s product-difference correlation method, the correlation between educational management and teachers’ teaching commitment is verified through the quantitative measurement of correlation analysis and linear regression analysis. Based on the decision tree algorithm and multiple linear regression method to predict the resource allocation of teachers’ positions, we constructed a model of human resource optimization and allocation strategy for college teachers and carried out the actual analysis of the utilization rate of resources for teachers’ positions and teachers’ schedules by genetic algorithm. Analysis obtained shows that selecting different population sizes for test results in teacher positions and teacher scheduling programs results in higher algorithm efficiency for populations between 30-50. When the value of the population is taken in the range of 30-50, the average time of the experiment is 60380.4ms-153199.2ms.