This paper analyzes the current situation of China's athletic training research in the 20 years since entering the new century from various angles, mainly including the continuous improvement of the item group training theory, the re-examination of the time factor of athletic training, and paying more attention to the combination of competition and education, etc. At the same time, China's athletic training has been analyzed in the development of the new century, which mainly includes the all-round intervention of modern science and technology, the expansion of the theory of athletic training to the theory of competition, the deeper development of the research of athletic training theory, and the humanistic factors will be more important. At the same time, it analyzes the development of athletic training in China in the new century, including the all-round intervention of modern science and technology, the expansion of athletic training theory to competitive sports theory, the deeper development of athletic training theory, and the more emphasis on humanistic factors.

The comprehensiveness, practicality, and intersection of science education major determine the necessity of constructing professional laboratories. This article explores the necessity of constructing a virtual simulation laboratory for science education in the context of the "new humanities", which meets the goals of cultivating new talents, the basic requirements of the new humanities construction, and the high-quality development requirements of higher education. In this context, considerations and prospects have been put forward for the construction of virtual laboratories, building virtual simulation laboratories that are in line with the new liberal arts background, modernization, and subject characteristics.

This article addresses the complex challenge of defining the concept and principles of juvenile justice within the realm of legal science: juvenile justice is a specialized legal framework that focuses on addressing legal issues involving minors, emphasizing rehabilitation over punishment. The article explores the evolution of juvenile justice, examining its theoretical foundations, legislative developments, and practical applications across different legal systems. By dissecting various definitions and principles proposed by scholars and practitioners, this article aims to clarify the core components of juvenile justice and propose a coherent conceptual framework. This article seeks to analyze and elucidate the concept and principles of juvenile justice by examining its historical development, theoretical underpinnings, and current practices. Through a comprehensive review of existing literature and comparative analysis of various legal systems, the article seeks to provide a robust framework for understanding juvenile justice, to offer clarity on “juvenile justice” definition and principles, thereby enhancing the effectiveness of juvenile justice systems and contributing to more informed policy-making and legal reform. The analysis underscores the importance of protecting minors’ rights while balancing the interests of society, thereby contributing to a more nuanced understanding of juvenile justice in contemporary legal discourse. Based on the research, it is suggested to define juvenile justice as a comprehensive system of legal norms and institutions, state and other bodies that protect the rights of minors, as well as a complex of preventive and other measures in this area.

In this Data science research on Education, it analyses the alcohol consumption, parent’s education, study time and other factors may influence on student performance.

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.

The objective of this work was to analyze the effect of the use of ChatGPT in the teaching-learning process of scientific research in engineering. Artificial intelligence (AI) is a topic of great interest in higher education, as it combines hardware, software and programming languages to implement deep learning procedures. We focused on a specific course on scientific research in engineering, in which we measured the competencies, expressed in terms of the indicators, mastery, comprehension and synthesis capacity, in students who decided to use or not ChatGPT for the development and fulfillment of their activities. The data were processed through the statistical T-Student test and box-and-whisker plots were constructed. The results show that students’ reliance on ChatGPT limits their engagement in acquiring knowledge related to scientific research. This research presents evidence indicating that engineering science research students rely on ChatGPT to replace their academic work and consequently, they do not act dynamically in the teaching-learning process, assuming a static role.