Search Results (394)

The sustainable development of teaching expertise in research-intensive universities remains a critical global challenge. This study investigates the distinctive characteristics of expert teachers—exemplary faculty in research universities—addressing their developmental trajectories and motivational mechanisms within prevailing incentive systems that prioritize research productivity over pedagogical excellence. Employing grounded theory methodology, we conducted iterative coding of 20,000-word interview transcripts from 13 teaching-awarded professors at Chinese “Double First-Class” universities. Key findings reveal the following: (1) Compared to the original K-12 expert teacher model, university-level teaching experts exhibit distinctive disciplinary mastery—characterized by systematic knowledge structuring and cross-disciplinary integration capabilities. (2) Their developmental trajectory transcends linear expertise acquisition, instead manifesting as a problem-solving continuum across four nonlinear phases: career initiation, dilemma adaptation, theoretical consciousness, and leadership expansion. (3) Sustainable teaching excellence relies fundamentally on teachers’ professional passion, sustained through a virtuous cycle of high-quality instructional engagement and external validation (including positive student feedback, institutional recognition, and peer collaboration). Universities must establish comprehensive support systems—including (a) fostering a supportive and flexible learning atmosphere, (b) reforming evaluation mechanisms, and (c) facilitating interdisciplinary collaboration through teaching development communities—to institutionalize this developmental ecosystem. Full article

This article explores Schipper’s scholarly contributions to the study of dongtian fudi (grotto heavens and blessed lands) and specifically situates this project in its broader intellectual context and Schipper’s own research. While Schipper was not the first to open discussions on this topic, his research in this direction still offers profound insights, such as the coinage of the concept of “Daoist Ecology” and his views on mountain politics. This article argues that Schipper’s work on dongtian fudi is a response to the school of Deep Ecology and its critics, and also a result of critical reflection on the modern dichotomy between nature and culture. In Schipper’s enquiry of dongtian fudi, the “mountain” stands as the central concept: it is not only the essential component of Daoist sacred geography, but a holistic site in which nature and society are interwoven, endowed with both material and sacred significance. Through his analysis of the Daoist practice of abstinence from grain (duangu), Schipper reveals how mountains serve as spaces for retreat from agrarian society and state control, and how they embody “shatter zones” where the reach of centralized power is relatively attenuated. The article also further links Schipper’s project of Beijing as a Holy City to his study of dongtian fudi. For Schipper, the former affirms the universality of the locality (i.e., the unofficial China, the country of people), while the latter envisages the vision of rewriting China from plural localities. Taken together, these efforts point toward a theoretical framework that moves beyond conventional sociological paradigms, one that embraces a total worldly perspective, in which the livelihoods of local societies and their daily lives are truly appreciated as a totality that encompasses both nature and culture. Schipper’s works related to dongtian fudi, though they are rather concise, still significantly broaden the scope of Daoist studies and, moreover, provide novel insights into the complexity of Chinese religion and society. Full article

The modern Chinese architectural heritage combines sturdy Western materials with delicate Chinese styling, mainly adopting brick-timber structural systems that are highly vulnerable to fire damage. The study assesses the fire spread characteristics of the First Faculty House, a 20th-century architectural heritage located at a university in China. The assessment is carried out by analyzing building materials, structural configuration, and fire load. By using FDS (Fire Dynamics Simulator (PyroSim version 2022)) and SketchUp software (version 2023) for architectural reconstruction and fire spread simulation, explores preventive measures to reduce fire risks. The result show that the total fire load of the building amounts to 1,976,246 MJ. After ignition, flashover occurs at 700 s, accompanied by a sharp increase in the heat release rate (HRR). The peak ceiling temperature reaches 750 °C. The roof trusses have critical structural weaknesses when approaching flashover conditions, indicating a high potential for collapse. Three targeted fire protection strategies are proposed in line with the heritage conservation principle of minimal visual and functional intervention: fire sprinkler systems, fire retardant coating, and fire barrier. Simulations of different strategies demonstrate their effectiveness in mitigating fire spread in elongated architectural heritages with enclosed ceiling-level ignition points. The efficacy hierarchy follows: fire sprinkler system > fire retardant coating > fire barrier. Additionally, because of chimney effect, for fire sources located above the ceiling and other hidden locations need to be warned in a timely manner to prevent the thermal plume from invading other sides of the ceiling through the access hole. This research can serve as a reference framework for other Modern Chinese Architectural Heritage to develop appropriate fire mitigation strategies and to provide a methodology for sustainable development of the Chinese architectural heritage. Full article

Although carbon emissions trading systems are universally acknowledged as one of the most potent policy instruments for counteracting hazardous climate trends, and digitalization is seen as a favorable technological means to promote corporate green and low-carbon transformation, few studies have investigated the dark side of both. Using data on Chinese listed companies from 2011 to 2020 and adopting a multi-period DID methodology, this research reveals that, in response to the carbon emissions trading system, firms often adopt low-cost, strategic environmental governance behaviors—namely, carbon washing—to reduce compliance costs and maintain their reputation and image. Furthermore, the study reveals that the information advantages of digital transformation create conditions for the opportunistic manipulation of carbon disclosure. Digitalization amplifies the positive influence of the carbon trading system on corporate carbon washing behavior. Mechanism analysis confirms that the carbon emissions trading system increases the production costs of regulated firms, thereby increasing their carbon washing behavior. Economic consequence analysis confirms that firms engage in carbon washing to gain legitimacy and maintain their reputation and image, which may allow them to obtain opportunistic benefits in the capital market. Finally, this study suggests that the government should adopt supplementary policy tools, such as environmental subsidies, enhanced use of digital technologies to strengthen regulatory capacity, and increased media oversight, to mitigate the unintended consequences of the carbon trading system on corporate behavior. Full article

This narrative inquiry explores a vibrant classroom knowledge community in a Chinese normal university. By examining the teacher’s interactions, we analyze the community’s development through three perspectives: (1) the author’s narrative of the course outline, (2) the teacher’s narrative of classroom culture, and (3) students’ narratives of their growth. The author presents a student-centered model and seven steps for enacting the course, outlining the environment for cultivating the knowledge community. The teacher’s narrative reveals clues to his success, emphasizing his use of storytelling to foster the community and share educational ideas. Students’ narratives reflect their growth, validating the classroom as a safe space for development and language learning. The significance of this research is that the classroom knowledge community consisted of the teacher, his undergraduate students, and his post-graduates. The three layers existed because of this unrestrained character, devoid of conflicts of interest, created a safe place for students’ development. This research study adds to the literature on how knowledge communities form in school contexts. It focuses on a particular space and time and involves multiple layers of participants, which is prerequisite to the conceptualization of classroom knowledge community. This research has important implications for college language education. Full article

Upgrading the industrial structure is an essential step for economic growth and the transformation of old and new development drivers. Counties situated at the rural–urban interface hold a comparative advantage in industrial upgrading compared to cities, converting agricultural resource dividends into economic value. However, whether agricultural innovation talent can facilitate this process requires further investigation. Based on a sample of 1771 Chinese counties, this study employs a quasi-natural experiment using China’s “World-Class Disciplines” construction program in agriculture and establishes a difference-in-differences (DID) model to examine the impact of agricultural innovation talent on county-level industrial structure upgrading. The results show that agricultural innovation talent significantly promotes industrial upgrading, with this effect being more pronounced in counties with smaller urban–rural income gaps, greater household savings, and higher levels of industrial sophistication. Spatial spillover effects are also evident, indicating regional knowledge diffusion. Knowledge empowerment emerges as the core mechanism: agricultural innovation talent drives industrial convergence, responds to supply–demand dynamics, and integrates digital and intelligent elements through knowledge creation, dissemination, and application, thereby supporting county-level industrial upgrading. The findings highlight the necessity of establishing world-class agricultural research and talent incubation platforms, particularly emphasizing the supportive role of universities and the knowledge-driven contributions of agricultural innovation talents to county development. Full article

This study investigates the evolution and prospective directions of big data applications within the global digital economy over the past twelve years. A comprehensive bibliometric analysis was conducted using Biblioshiny and included 752 documents authored by 1748 scholars and published in 416 specialized journals and academic books between 2013 and 2024. The findings reveal that scholarly interest in this area peaked in 2024. Co-occurrence network mapping highlights three dominant thematic trends in the applicability of big data within the digital economy: technological innovations, conceptual frameworks, and the role of China. Influential academic publications—such as Sustainability, PLoS ONE, and the proceedings of the 8th International Conference on Information Technology and Quantitative Management—have played a pivotal role in advancing research in this domain. Moreover, leading institutions, including the University of the Chinese Academy of Sciences, Shenzhen University, and Guizhou University, have emerged as pivotal contributors to advancing research in this field. China is the primary driving force and key player in reshaping the digital economy through big data, a role that is expected to contribute to global technological advancement in the future. Full article

Current research predominantly involves human subjects to evaluate AI creativity. In this explorative study, we questioned the validity of this practice and examined how creator–assessor (dis)similarity—namely to what extent the creator and the assessor were alike—along two dimensions of culture (Western and English-speaking vs. Eastern and Chinese-speaking) and agency (human vs. AI) influences the assessment of creativity. We first asked four types of subjects to create stories, including Eastern participants (university students from China), Eastern AI (Kimi from China), Western participants (university students from The Netherlands), and Western AI (ChatGPT 3.5 from the US). Both Eastern participants and AI created stories in Chinese, which were then translated into English, while both Western participants and AI created stories in English, which were then translated into Chinese. A subset of these stories (2 creative and 2 uncreative per creator type, in total 16 stories) was then randomly selected as assessment materials. Adopting a within-subject design, we then asked new subjects from the same four types (n = 120, 30 per type) to assess these stories on creativity, originality, and appropriateness. The results confirmed that similarities in both dimensions of culture and agency influence the assessment of originality and appropriateness. As for the agency dimension, human assessors preferred human-created stories for originality, while AI assessors showed no preference. Conversely, AI assessors rated AI-generated stories higher in appropriateness, whereas human assessors showed no preference. Culturally, both Eastern and Western assessors favored Eastern-created stories in originality. And as for appropriateness, the assessors always preferred stories from the creators with the same cultural backgrounds. The present study is significant in attempting to ask an often-overlooked question and provides the first empirical evidence to underscore the need for more discussion on using humans to judge AI agents’ creativity or the other way around. Full article

This study explores the influence of team communication (TC) and shared mental models (SMMs) on entrepreneurial team efficacy (ETE) within the context of Chinese higher education, introducing a dual-path model to reconcile the discrepancy between policy expectations and practical outcomes in entrepreneurship education. Utilizing partial least squares structural equation modeling (PLS-SEM) on data from 475 university-based questionnaires from March to May in 2024 in China, the research reveals that structured internal communication significantly enhances the alignment of learning goals, teammate cognition, and activity synchronization, thereby fostering SMMs as a pivotal psychological infrastructure. The findings indicate that shared learning goals and cognitive convergence are primary drivers of task performance, whereas coordinated activity states are more influential in strengthening relational cohesion. The study challenges the conventional “communication frequency–efficacy paradox” by demonstrating distinct pathways through which internal and external communication mechanisms differentiated impact task and relational outcomes. Additionally, demographic analyses highlight that team maturity and age diversity positively correlate with task efficacy, while gender and disciplinary heterogeneity show no significant association. Theoretically, this research advances the understanding of team collaboration dynamics and contextualizes Western entrepreneurship theories within China’s collectivist framework. Practically, it provides robust, evidence-based strategies for refining communication protocols and enhancing both collaborative efficiency and innovation in entrepreneurial education settings. Full article

Online social comparisons play a vital role in adolescents and young adults’ self-development. This study extended research on the influence of online social comparisons on self-concept clarity among college freshmen. This study investigated the mediating role of rumination in the relationship between online social comparisons and self-concept clarity among college freshmen and further examined the moderating effect of self-compassion on this mediational pathway. A sample of 975 Chinese university freshmen were recruited to complete the Online Social Comparisons Scale, Self-Concept Clarity Scale, Rumination Scale and Self-Compassion Scale. The results indicated that among college freshmen, online social comparisons can negatively impact self-concept clarity both directly and indirectly through rumination. Self-compassion moderated the effect of rumination on self-concept clarity. Compared to college freshmen with high self-compassion, those with low self-compassion showed a steeper decline in self-concept clarity as rumination increased. This study not only uncovers the psychological mechanisms through which online social comparison damages self-concept clarity but also provides empirical support for universities to develop targeted psychological health intervention programs based on self-compassion. Full article

China has made a major strategic decision to build world-class universities and first-class disciplines (abbreviation: Double First-Class), aimed at enhancing the global competitiveness of Chinese higher education. Industry-specific universities have a special historical evolution and distinctive characteristics. China’s industry-specific universities have always played an important role in the higher education system and made significant contributions to the development of the country. However, the “Double First-Class” initiative presents both opportunities and challenges for industry-specific universities. This paper employs the SWOT analysis method to conduct a qualitative analysis of industry-specific universities and proposes a strategic matrix for decision-making. At the same time, from a niche perspective, this paper explores the sustainable development strategies of these institutions within the initiative through the calculation of niche breadth, niche overlap, and their relationship analysis. The research results indicate that the “Double First-Class” initiative has played a positive role in promoting the expansion of universities’ ecological niches. However, it has also led to excessive niche overlap and intense competition. Industry-specific universities face opportunities and challenges in terms of structure, strategy, and policy for their sustainable development. Key findings highlight the importance of strategic alignment with national demand, industry cooperation, and policy orientation for sustainable growth. This paper proposes recommendations for the construction of a sustainable development framework, implementation of strategic initiatives, and policy guidance for universities with industrial characteristics from three perspectives: government, industry, and universities. Full article

The introduction of international faculties is a crucial strategy in enhancing the talent pool of Chinese universities, yet its impact on scientific research development remains underexplored. This study investigates how the presence of an international faculty influences the international academic impact of 128 “Double First-class” Chinese universities from 2011 to 2020. Using benchmark regression models alongside endogeneity and robustness tests, the analysis incorporates moderating effects and heterogeneity to examine underlying mechanisms. The results indicate that the introduction of foreign faculty significantly enhances the international academic impact of these institutions. Furthermore, the scientific and technological human capital of a foreign faculty plays a key role in this effect. This study also finds that the universities’ level of digitalization significantly moderates the relationship between international faculty presence and academic impact. Additionally, the impact varies across regions and development levels, highlighting heterogeneity in outcomes. These findings suggest that Chinese universities should strategically strengthen the recruitment of international faculties, carefully assess their expertise, and leverage digital capabilities to maximize academic benefits. This research provides empirical evidence on the value of international faculties in advancing the global academic standing of Chinese higher education institutions. Full article

While AI integration in higher education has transformative potential, existing studies may not fully capture the unique socio-cultural and institutional contexts of top-tier universities in China. This study investigates students’ perceptions of AI utilization at a leading Chinese university, drawing on the Technology Acceptance Model (TAM). Quantitative data were collected via a 5-point Likert scale questionnaire (n = 253), complemented by open-ended qualitative responses. Results revealed that while they viewed AI as useful for enhancing efficiency and easy to use, concerns about content accuracy, over-reliance, and ethical issues persisted. Their high interest in AI contrasted with lower self-assessed proficiency, highlighting a gap between enthusiasm and competence. Institutional support significantly motivated adoption, whereas social influence played a lesser role. Students valued AI’s support in language learning, writing, research, and programming but noted its limitations in complex problem-solving. They also called for human-centric AI tools offering emotional support and personalized guidance. These findings may offer educators, policymakers, and AI developers valuable insights to address students’ concerns and optimize learning experiences in competitive academic environments. Full article

Although the benefits of regular physical activity are widely recognized, many university students fail to sustain consistent exercise behaviors. This phenomenon may be attributed to cognitive and motivational barriers, particularly perceptions of goal attainability and attribution styles, which are believed to significantly influence students’ health beliefs and intentions to engage in physical activity. This research aimed to examine the independent and combined effects of goal attainability and attribution style on Chinese university students’ health beliefs and willingness to exercise. The study also investigated how shifts in attribution style may influence these outcomes under different levels of goal attainability. Two between-subjects experiments were conducted. In Experiment 1 (N = 146), a 2 (goal attainability: high vs. low) × 2 (attribution style: internal vs. external) design was used. Participants were exposed to tailored exercise advertisements and completed standardized questionnaires measuring health beliefs and exercise intentions. Experiment 2 (N = 130) adopted a 2 (goal attainability: high vs. low) × 2 (attributional shift: external-to-internal vs. internal-to-external) design, utilizing visual priming and short video interventions to manipulate attributional orientation. In Experiment 1, both high goal attainability and internal attribution independently enhanced participants’ health beliefs and exercise willingness. A significant interaction effect was observed only for exercise willingness, with the highest intentions found in the high attainability × internal attribution group. In Experiment 2, shifting attribution from external to internal significantly increased both health beliefs and exercise willingness, while shifting from internal to external resulted in substantial decreases. An interaction effect was again found only for exercise willingness, suggesting that the effectiveness of attributional shift depended on goal attainability. By integrating the Health Belief Model with Attribution Theory, this study offers a deeper understanding of how cognitive and motivational factors influence exercise behavior, and provides a theoretical foundation for developing adaptive interventions. Full article

This study examines how Chinese and Western news media covered artificial intelligence (AI) privacy issues in higher education from 2019 to 2024. News articles were retrieved from Nexis Uni. First, non-negative matrix factorization (NMF) was employed to identify core AI privacy topics in university teaching, administration, and research. Next, a time trend analysis investigated how media attention shifted in relation to key events, including the COVID-19 pandemic and the emergence of generative AI. Finally, a sentiment analysis was conducted to compare the distribution of positive, negative, and neutral reporting. The findings indicate that AI-driven proctoring, student data security, and institutional governance are central concerns in both Chinese and English media. However, the focus and framing differ: some Western outlets highlight individual privacy rights and controversies in remote exam monitoring, while Chinese coverage more frequently addresses AI-driven educational innovation and policy support. The shift to remote education after 2020 and the rise of generative AI from 2023 onward have intensified discussions on AI privacy in higher education. The results offer a cross-cultural perspective for institutions seeking to reconcile the adoption of AI with robust privacy safeguards and provide a foundation for future data governance frameworks under diverse regulatory environments. Full article