Volume 16 Issue 8

Joint cultivation of postgraduates by universities is an important mechanism to promote inter-university resource sharing and improve the quality of postgraduate education, involving the optimal allocation of internal and external educational resources and the innovation of talent cultivation models. It can help relevant universities connect with high-level platforms in terms of team co-construction and resource sharing, facilitate disciplinary intersection and complementary advantages to promote academic output, enhance universities' disciplinary competitiveness through scientific research cooperation or disciplinary intersection, and cultivate postgraduates' practical abilities to improve their employment competitiveness. Therefore, through an empirical analysis of the paths, problems, and effectiveness of joint cultivation, this study further clarifies that constructing diverse mechanisms, co-building disciplinary platforms, deepening resource sharing, realizing disciplinary intersection, and improving evaluation systems are important measures for universities to promote the reform of joint cultivation models and enhance the quality of talent cultivation.

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The concept of “physical literacy,” first raised more than eighty years ago, is now widely recognized and put into practice in Western countries. China has likewise set target requirements for developing physical literacy among young people. Physical literacy refers—relative to an individual’s endowments—to the motivation, confidence, physical competence, knowledge, and understanding that enable one to maintain bodily vitality across the lifespan. Mind–body monism, existentialism, and embodied phenomenology are the three main philosophical pillars for understanding physical literacy and putting it into practice.

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With the trend of global population aging escalating, the problem of population aging in China is becoming increasingly prominent. The traditional home-based elderly care model and institutional elderly care model are being challenged, showing a clear mismatch between elderly care service supply and demand. In light of this context, smart elderly care, has emerged. As an information technology-based model, smart elderly care has become a key focus area for preferential policy support. This study focuses on smart elderly care policies and identifies four directions of current policy research, including technology application and innovation, service system optimization, policy support and establishment of standards, as well as social coordination mechanisms. Specifically, it involves promoting the widespread adoption of technologies such as smart wearable devices, telemedicine, and home monitoring systems to achieve intelligent health monitoring and emergency response; integrating community, institutional, and home-based elderly care resources to build a comprehensive "internet + elderly care" platform that offers personalized services; encouraging active involvement of enterprises through fiscal subsidies, tax benefits, and other incentive measures provided by the government; improving data security and industry standards; promoting multi-stakeholder cooperation, including families, communities, businesses, and non-profit organizations, to establish a sustainable elderly care model. Regarding the core problems of high technology costs, a digital divide among the elderly, and privacy protection, the government should accelerate the implementation of age-friendly design, while leveraging pilot programs to promote mature models, achieving widespread adoption of smart elderly care, and enhancing the effectiveness of policy implementation.

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The rapid advancement of artificial intelligence (AI) technology is fundamentally reshaping the production chain of the media industry. This study focuses on the impact of generative AI (e.g., ChatGPT, DeepSeek, Doubao) on content production, employing content analysis to reveal core differences between AI-generated and human-authored content. By comparative analysis, this paper discussed the issue across three dimensions: text structure, information density, and perceived credibility. Key findings include: Regarding textual features, AI content averaged 29% fewer words than human content (856 words vs. 1,203 words), exhibited more fragmented paragraph structures (average paragraph length 98 words vs. 152 words), and cited data sources only 32% as often as human content. In quality assessment, while AI content readability scores approached those of human content, its perceived information credibility was significantly lower. Readers with social science backgrounds exhibited particularly strong distrust towards AI content (average rating 2.1/5). High-frequency word analysis further indicated AI content's tendency to use vague expressions like "possibly" and "data suggests," whereas human content more frequently cited specific sources.

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Senior high school arts curriculum is an important carrier for implementing aesthetic education and ideological and political education. Leveraging its advantages in multimodal information perception, generation, and analysis, artificial intelligence systematically elucidates the evidence-based mechanisms and practical strategies by which it empowers ideological and political education in senior high school arts courses across three dimensions: innovation of instructional content, reconstruction of the teaching process, and deepening of instructional assessment. This provides a new pathway for constructing “evidence-based” arts ideological and political education, aiming to steer arts-based ideological and political work from experience-driven practice toward scientific evidence, and from uniform instruction toward personalized cultivation, thereby achieving an overall enhancement of educational effectiveness.

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In recent years, "feminism" 's concerned by the public have been increasing. However, limited research focused on gender differences, around Beijing high school students. So this study aims to focus on this topic. To better understand the research topic, the researcher used a Mixed-methods research design. The researchers first designed a questionnaire and then conduct a short interview with few high school students in order to find out the gender difference they have with feminism. The research found that there were certain differences between females and males in basic concept understanding and also views on social influence. Besides, the result shows that these differences are related to both family attitudes and social media opinions. The research can help change our understanding of teenager gender concepts, also social cultural cognition, and has significance for educators and social scientists.

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