E-learning has become an integral part of higher education, significantly influencing the teaching and learning landscape. This study investigates the impact of student characteristics such as gender, grade, and major on E-learning satisfaction. Utilizing Structural Equation Modeling (SEM) and collecting data through 527 valid questionnaires from Nanjing Normal University students, this research reveals the nuanced relationships between these variables and E-learning satisfaction. The findings indicate that gender, grade, and major significantly and positively impact student satisfaction with E-learning, highlighting the need for tailored E-learning resources to meet diverse student needs. The study underscores the importance of continuous improvement in E-learning resources and platforms to enhance student satisfaction. This research contributes to the understanding of effective E-learning strategies in higher education institutions.

The aim of the research is to prove that nowadays the role of higher education, its impact on “territorial capital” and the factors of their competitiveness measurement have changed. Competitiveness should no longer be measured only in terms of rankings between higher education institutions, but also in terms of their role in territorial capital. Examining the extension of a competitiveness measurement model developed for small and medium-sized enterprises to the field of higher education can be exciting because the competitive situation between higher education institutions is strengthening, and its aspects are not limited to winning tender funds and the competition for students. The subject of this study is the Central European higher education in general and the Hungarian higher education specifically. Higher education as it appears in regional strategic documents, and the regional, third mission role of higher education institutions appearing in their strategic documents. In terms of methodology: the first part of the paper is based on document and content analysis. In the second part of the paper, institutional characteristics that may influence competitiveness are identified in the case of a Hungarian higher education institution with SME characteristics. The research concludes that the impact on territorial capital, together with the traditional characteristics of higher education and its third missionary role, may constitute the competitiveness of a given institution. If the impact of higher education institutions on location could be measured uniformly, competition between institutions would be more transparent and the role of the region would be strengthened.

The evolution of the internet has led to the emergence of social media (SM) platforms, offering dynamic environments for user interaction and content creation. Social media, characterized by user-generated content, has become integral to electronic communication, fostering higher engagement and interaction. This study aims to explore the utilization of SM marketing, particularly in Higher Education Institutions (HEIs), focusing on Széchenyi István University’s academic social network sites (SNS) as a case study to enhance student engagement and satisfaction. The primary objective of this study is to review recent academic literature on SM marketing, especially for HEI marketing, and investigate the potential of the University’s SNS platforms as a case study in increasing student engagement. First a systematic literature review was conducted using Scopus and Science Direct databases to analyze recent research in academic SM. Then the article examined the University’s website and SNS platforms using the Facepager program to collect and analyze posts’ content. The findings from the literature review and observation indicate the growing importance of SM in higher education marketing. The university’s use of various SM strategies, such as visual storytelling, multimedia content, blogs, and user-generated content, contributes to increased student engagement of the university’s values.

Leadership and the academic freedom of the Universities in a digitally changing world are the generators of innovation in society. This study is a qualitative and quantitative empirical research of the Leadership at the public and private Higher Education Institutions (HEIs) in Kosovo, that examines their communication, authoritarian or liberal communication, and dominant perceptions and attitudes towards social, political, and financial strategies in HEI as a basis of social and economic wellbeing. The theory of research, as elaborated by Tight (2022), emphasizes the evolving nature of academic inquiry and the significance of context in shaping research practices. Waite (2013) highlights the pivotal role of communication strategies in determining the effectiveness of both democratic and authoritarian leadership styles. Effective communication in democratic leadership fosters transparency and collaboration, while in authoritarian leadership, it can be used to consolidate control and manage dissent The research was conducted at public and private HEI, through personal interviews and a structured questionnaire, which was carried out by the staff of higher management of HEI, academic staff, administrative staff, and students of the public and private Universities. The results demonstrated that academic and financial autonomy has a high impact on academic ethics and academic integrity and has a high impact on the increase of the economy and well-being in society, compared with the lack of academic and financial autonomy and interference of politics in the management of HEI which has an impact on lower quality and integrity of HEI in society. Leaders of Universities need to think about new leadership models more socially responsible and more ecologically sensible consumption oriented, from Society, to society for society.

Mediating role of artificial intelligence in the relationship between higher education quality and scientific research ethics among faculty members: A Study in carrying out the study, specific research objectives were derived, and based on the derived objectives, null hypotheses were formulated and tested for the study. This study, thus, employed survey research design. This study’s population comprised postgraduate students from Middle Eastern University, Jordan, with 1200 students. Using the population, a sample size of 291 respondents was selected based on Krecie and Morgan The students in the sample completed Google Forms questionnaires. The data were statistically processed, and the analysis’s most significant level was 0.25. The research questions were analyzed using descriptive statistics, and the null hypothesis was tested using Pearson Product Moment Correlational Analysis (PPMC). Also, the study showed a significant relationship between artificial intelligence and the quality of higher education and the relationship of significance between artificial intelligence and ethics in scientific research. The researcher suggested a need for ongoing education, cross-discipline cooperation, and the development of solid ethical frameworks for the integration ethics of AI academia.