This academic paper explores the integration of artificial intelligence (AI) and virtual reality (VR) in the sports industry, specifically in the context of improving the quality of football teaching in universities. The growing impact of the metaverse concept on science and technology necessitates the utilization of AI as a critical technology in virtual worlds. Furthermore, the success of AI in various fields, coupled with the advancements in information technology, underscores the inevitability of integrating AI and sports. As traditional sports undergo a quality revolution, the integration of AI and virtual reality becomes increasingly crucial. Therefore, this study focuses on the use of VR to enhance the quality of football teaching at the university level.Virtual reality, characterized by its immersive, interactive, and imaginative features, is deemed suitable for constructing physical education courses. This paper explores the strategies for improving the quality of university football courses within the context of the mobile Internet era. By combining physical education with virtual reality technology, the effects of virtual reality-based physical education curriculum and the factors influencing the willingness of physical education teachers to adopt virtual reality technology are examined. To enhance the interpretation of acceptance intentions, this study integrates the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) model with the Task-Technology Fit Theory (TTF), resulting in a novel conceptual framework. Moreover, quantitative research based on collected data is conducted. The findings demonstrate that performance expectation, promotion conditions, hedonic motivation, price value, and individual innovation ability serve as significant predictors of acceptance intentions towards virtual reality technology.

The purpose of this study is to comprehend the study hotspots and frontiers in the field of college students' mental health in China and overseas, to reveal their similarities and differences, and to clarify the future direction of research. The study visually analyzed 3,314 documents collected by CNKI and 7,931 documents in the Web of Science core collection from 2012 to 2022 using pathfinding network algorithm. The results indicate that a vast network of global partnerships has been established. The number of Chinese scholars published in English journals is increasing rapidly; the hotspots of college students’ mental health research in China and abroad mainly focus on the main characteristics of college students' psychological problems, the factors influencing the level of mental health and the responses to mental health management, as well as the differences in the focus of Chinese and foreign stage research and the differences in highlighting the frontier themes. These differences in focus and themes of the frontier are important. Future research should strengthen the study of new technologies such as big data and artificial intelligence in early warning and digital intervention of psychological crisis.

With the development of the Internet, mobile Internet, big data, cloud computing, artificial intelligence and other new generation technologies, information dissemination has entered the era of social media. The development of various social media platforms has changed the mode of e-commerce marketing, and new marketing methods such as “live streaming marketing”, “short video marketing”, and “community marketing” have emerged. However, with the popularization of online shopping and online store opening techniques, more and more online stores are registered on e-commerce trading platforms such as Taobao, JD.com, and Pinduoduo, and the number of products is increasing exponentially. This has led to a decreasing probability of online store products being seen by customers. Therefore, it is very important to carry out social media marketing. There is currently no research conducted on the data of social media marketing conducted by small microelectronic commerce enterprises operating online stores on e-commerce platforms. Therefore, this study will investigate the social media marketing data of these small and micro Electronic Commerce enterprises, including marketing costs (investment costs), teams, marketing methods, marketing effects (revenue obtained), etc. By analyzing these data, the social media marketing status of small and micro Electronic Commerce enterprises will be analyzed, and based on the knowledge learned, some suggestions and strategies will be proposed.

This article elucidates the logical relationship between artificial intelligence and the development of labor education in China. Taking the perspective of Marxist labor theory, it points out that the rise of artificial intelligence is an inevitable outcome of the development of social production relations and productivity. It raises new questions and challenges regarding the essence and role of labor. The article emphasizes the new requirements of artificial intelligence for the quality of workers, highlighting new opportunities and challenges for labor education in adapting to future labor market demands, including technological barriers, digital divides, and the innovation of educational systems and institutions.In conclusion, the article proposes a development path for labor education utilizing artificial intelligence technology. It underscores the upgrading of labor education theories, focuses on the application of artificial intelligence technology in labor education practices, and suggests the establishment of a diversified labor education evaluation system. This aims to cultivate students' innovative practical abilities, emphasizing interdisciplinary integration and collaborative mechanisms to collectively promote the development of labor education.

This paper intends to focus on the innovative path of the Communist Youth League’s ideological leadership for youth in the new media environment as the main research direction. The ideological leadership work of college students is the fundamental political task of the Communist Youth League organization in colleges and universities. The article revolves around the characteristics and advantages of the Communist Youth League in colleges and universities in the work of ideological leadership of college students. Through methods such as questionnaire surveys and case studies, it identifies the problems existing in the Communist Youth League’s ideological leadership for youth. By practicing socialist core values, optimizing top-level design, enriching educational connotation, based on campus cultural practice, innovating activity carriers, strengthening the construction of the Communist Youth League team, and improving the evaluation system, it explores new paths for the Communist Youth League organizations in colleges and universities to lead young students with digital technology in the new era, providing references for the ideological leadership work of the Communist Youth League under new circumstances.

The evaluation indicator of innovation and entrepreneurship education provides a scientific and objective basis for the development of innovation and entrepreneurship education in colleges and universities. To ensure a scientific and reasonable evaluation, it is necessary to establish a comprehensive and feasible evaluation indicator system. This evaluation indicator serves as a crucial tool in measuring the performance of innovation and entrepreneurship education, enabling colleges and universities to identify and address any shortcomings. It also aids in achieving the goals of colleges and universities and effectively managing their performance. This paper utilizes the CIPP evaluation model to construct the evaluation indicator of innovation and entrepreneurship education. The literature research method, interview, and Delphi method (expert survey method) are employed to determine the percentage and weight coefficient of each indicator through two rounds of expert consultation. Finally, based on the guidance of experts and practical experience in evaluating innovation and entrepreneurship education, the final evaluation indicators are determined, consisting of 4 primary indicators, 14 secondary indicators, and 44 tertiary indicators.

In the digital era of the 21st century, artificial intelligence, as a cutting-edge technology, is causing profound changes globally. China, as a populous country, is renowned worldwide for its rapid economic and social development and rapid technological progress. In this context, the digital transformation of Chinese trade unions, as an important bridge connecting the government, enterprises, and employees, has become an inevitable choice to enhance work efficiency and strengthen public service capabilities. Artificial intelligence has a positive impact on the digital empowerment of Chinese trade unions, including promoting the improvement of trade union work efficiency, enhancing the quality and scope of trade union services, meeting the diverse needs of employees, and strengthening the organizational power and influence of trade unions, promoting the sustainable development of the Chinese trade union cause. By utilizing artificial intelligence technology, the digital transformation of trade unions can be propelled, elevating the intelligence and precision level of trade union work. Trade unions should actively embrace artificial intelligence technology, continuously explore innovation to adapt to the development needs of the digital economy era.

With the innovation of technology, the digital economy is booming, bringing about profound changes in society and the economy as a whole, accompanied by the rapid iterative development of e-commerce, the demand for e-commerce professionals is gradually increasing, and the requirements for talents are gradually improving, e-commerce education is gradually growing at the same time in the faculty, teaching, teaching materials, cultivation objectives, etc., also faced with a number of challenges and dilemmas. For this reason, it is necessary to follow the market and technological development, conform to the development of the digital economy, and cultivate high-quality e-commerce talents.

Nowadays, stepping into the intelligent era, big data, artificial intelligence, the Internet of Things and other emerging technologies, as well as new communication methods represented by fragmented communication continue to impact the traditional educational publishing industry, in the face of the impact of technology, the educational publishing industry in the country under the guidance of the relevant policy documents, but also actively seek to integrate with new technologies, such as artificial intelligence and other new technologies, to the publication of the 3.0 era of progress, which brings about a number of changes, including the publishing process. This has brought about changes in many aspects, including the publishing process, product forms, and so on. Based on the theory of compensatory media and the technical path of AI-enabled educational publishing, the article explores the application of AI in educational publishing from the perspectives of perception, interaction, and anthropomorphism, analyzes its problems, and provides corresponding countermeasures for its future development.

FDM technology faces pain points such as poor forming surface quality, dependence on support structures, low consumable utilization, and low printing efficiency. Although robotic arm-based 3D printing technology can solve some of the pain points, there is currently no mature solution to comprehensively solve these problems. Considering the FDM printing characteristics of the spiral structure, a curved surface 3D printing system based on rotary cylinder was proposed. Rotary cylinder structure is used as the surface printing abasement, a plane-based curved path planning method is proposed for generating the plane-based curved paths. The classical plane-based path planning theory is applied in the proposed curved path planning method by means of a mapping process from the cylindrical 3D curved path to the cylindrical 2D. The test experiments verify the feasibility of this scheme and its progressiveness. Compared to the path planning methods of ModelLight and Cura software in the plane 3D printing technology, the proposed rotating 3D printing system significantly improves printing efficiency and saves hundreds of times the memory occupied by generated printing files, and provides better surface quality and higher material utilization. This work lays the foundation for the subsequent research on high-speed 3D printing systems.