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.
Since 1999, China’s higher education has experienced significant growth, with the government dramatically increasing college enrollment rates, thereby enhancing the overall quality of education. However, most existing studies have primarily focused on the quantity of education, with little attention having been given to the impact of higher education quality (HEQ) on economic growth. This study aims to explore how higher education quality (HEQ) contributes to regional economic growth through scientific and technological innovation (STI) and human capital accumulation. Using panel data from 31 Chinese provinces from the period 1999 to 2022, panel regression models and instrumental variable methods were employed to analyze both the direct and indirect impacts of higher education quality (HEQ) on economic growth. The results confirm that improving higher education quality (HEQ) is crucial for sustaining China’s economic growth. More specifically, higher education promotes regional economic expansion both directly, by enhancing labor productivity, and indirectly, by facilitating scientific and technological innovation. Furthermore, the study suggests that the balanced distribution of educational resources across regions should be prioritized to support coordinated regional development. This research provides insights for policymakers on how balanced regional economic development can be achieved through educational and technological policies. This work also lays a foundation for future studies.
This article explores the transformative journey of universities in Kazakhstan, focusing on the results of recent research on the quality of higher education. The study delves into the significant reforms and innovations implemented in the Kazakhstani higher education system, assessing their impact on academic standards, student performance, and institutional efficiency. Through comprehensive data analysis and expert interviews, the research highlights the strides made in improving educational quality, fostering international collaborations, and integrating modern technologies in teaching and learning. The findings underscore the critical role of government policies, industry partnerships, and community participation in driving these transformations. This article provides valuable information on the challenges and successes experienced by Kazakhstani universities, providing a blueprint for further advances in the sector of higher education. The key factors contributing to the success of these reforms include strong government support, international collaboration, robust quality assurance mechanisms, a focus on research and innovation, and professional development for educators. While challenges remain, the future of higher education in Kazakhstan looks promising, provided that these efforts continue and are further refined to address existing gaps.
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