Search Results (127)

With deepening global higher education reforms, outcome-based education has emerged as the core paradigm for teaching model innovation. This study investigates the structural dependencies and teaching effectiveness of the Environmental Design curriculum at Hubei Engineering University in medium-sized cities, China, addressing challenges of enrollment decline and market contraction critical for urban sustainability. Using network analysis, we construct curriculum support and contribution networks and course temporal networks to assess structural dependencies and teaching effectiveness, revealing structural patterns and optimizing the OBE-based Environmental Design curriculum to enhance educational quality and student competencies. Analysis reveals computer basic courses as knowledge transmission hubs, creating a course network with a distinct core–periphery structure. Technical course reforms significantly outperform theoretical course reforms in improving student performance metrics, such as higher average scores, better grade distributions, and reduced performance gaps, while innovative practice courses show peripheral isolation patterns, indicating limited connectivity with core curriculum modules, which reduces their educational impact. These findings provide empirical insights for curriculum optimization, supporting urban sustainable development through enhanced professional talent cultivation equipped to address environmental challenges like sustainable design practices and resource-efficient urban planning. Network analysis applications introduce innovative frameworks for curriculum reform strategies. Future research expansion through larger sample validation will support urban sustainable development goals and enhance professional talent cultivation outcomes. Full article

This study, based on engineering education accreditation standards, addresses the supply–demand imbalance in China’s cybersecurity talent cultivation by constructing a sustainable “education-industry-society” collaborative model. Through case studies at Huaihua University and other institutions, employing methods such as literature analysis, field research, and empirical investigation, we systematically explore reform pathways for an innovative cybersecurity talent development system. The research proposes a “three-platform, four-module” practical teaching framework, where the coordinated operation of the basic skills training platform, comprehensive ability development platform, and innovation enhancement platform significantly improves students’ engineering competencies (practical courses account for 41.6% of the curriculum). Findings demonstrate that eight industry-academia practice bases established through deep collaboration effectively align teaching content with industry needs, substantially enhancing students’ innovative and practical abilities (172 national awards, 649 provincial awards). Additionally, the multi-dimensional evaluation mechanism developed in this study enables a comprehensive assessment of students’ professional skills, practical capabilities, and innovative thinking. These reforms have increased the employment rate of cybersecurity graduates to over 90%, providing a replicable solution to China’s talent shortage. The research outcomes offer valuable insights for discipline development under engineering education accreditation and contribute to implementing sustainable development concepts in higher education. Full article

The Global Talent Competitiveness Index is a system created by the Institut Européen d’Administration des Affaires, based on which we compared China’s talent competitiveness rankings with those of the G20 countries and analyzed the performance of each indicator. Thus, we analyzed the strengths and weaknesses of each country’s talent cultivation policies and then explored the factors affecting them based on their national conditions. The analysis shows that, despite fluctuations, China’s global talent competitiveness ranking is generally on an upward trend compared with other G20 countries. Further analysis of strengths and weaknesses shows that China’s talent competitiveness has advantages in government efficiency, market dynamism, education system, R&D investment, and technological innovation. This study develops an original matrix model to examine the internationalization level of China’s talent competitiveness. However, there are gaps between China and developed countries in terms of labor market policy effects, education matching, vocational education, and key human resources. Drawing from large-scale data, four strategies can be implemented in the future, namely piloting & enterprising, opportunity utilization, threat transformation, and disadvantage adjustment, to improve China’s talent competitiveness. Full article

Amidst the dual challenges of escalating ecological environmental pressures and economic transformation globally, green innovation emerges as a pivotal pathway toward achieving high-quality sustainable development. To elucidate how digitalization and novel productive forces synergistically drive the green transition, the research utilizes panel data from 30 provincial-level administrative regions in China spanning 2009 to 2022, constructing a green innovation efficiency measurement frame-work grounded in the Super Slack-Based Measure (Super-SBM)model, alongside a novel productive forces evaluation system based on the triad of laborers, labor objects, and means of production. Employing spatial difference-in-differences and double machine learning methodologies within a quasi-natural experimental design, the research investigates the causal mechanisms through which digital empowerment and novel productive forces influence regional green innovation efficiency. The findings reveal that both digital empowerment and novel productive forces significantly enhance regional green innovation efficiency, exhibiting pronounced positive spatial spillover effects on neighboring regions. Heterogeneity analyses demonstrate that the promotive impacts are more pronounced in eastern provinces compared to central and western counterparts, in provinces participating in carbon trading relative to those that do not, and in innovation-driven provinces versus non-innovative ones. Mediation analysis indicates that digital empowerment operates by fostering the aggregation of innovative talent and elevating governmental ecological attentiveness, whereas new-type productivity exerts its influence primarily through intellectual property protection and the clustering of high-technology industries. The results offer empirical foundations for policymakers to devise coordinated regional green development strategies, refine digital transformation policies, and promote industrial structural optimization. Furthermore, this research provides valuable data-driven insights and theoretical guidance for local governments and enterprises in cultivating green innovation and new-type productivity. Full article

Enterprise digital transformation has emerged as a key strategy for enhancing innovation capacity in the age of the digital economy. This article aims to analyze the influence mechanism of digital transformation on corporate innovation and evaluate the mediating function of corporate innovation and cooperative cultures between digital transformation and corporate innovation capability. This work builds a panel data model based on data from Chinese A-share listed businesses from 2012 to 2021, empirically analyzes it using the Tobit model and the fixed effects model with instrumental variables technique, and uses the mediation effect test to uncover the course of action. According to the report, digital transformation significantly enhances creativity capability; second, corporate collaborative and innovation cultures mediate the relationship between digital transformation and innovation outcomes, and cultural capital becomes a crucial link; and third, the influence of digital transformation on corporate innovation capability is greater in state-owned enterprises, non-monopoly industries, and high-tech industries. According to the study, businesses should work to realize the dual-wheel drive of “technological investment + cultural cultivation” and establish an open and collaborative innovation ecosystem, while the government should intensify the development of digital infrastructure, enhance the supporting system, encourage cultural construction and talent supply, and create an environment that supports the synergistic development of digitization and innovation. Full article

Global digitalization drives policy-led transformation in the construction industry, yet its effectiveness hinges on localized implementation. However, research on China’s regional digital policies remains insufficient, particularly in systematic evaluation mechanisms. Focusing on Wuhan, this study proposes a progressive “3M” (macro–meso–micro) policy evaluation framework to analyze local policy efficacy under national strategies. Macro-level PESTEL analysis identifies weak legal frameworks as a critical gap. Meso-level PMC index modeling establishes a hierarchical optimization pathway prioritizing incentive measures, followed by policy timeliness, assessment mechanisms, policy focus, and policy nature. Micro-level Spearman’s correlation analysis further pinpoints five implementation drivers: pilot projects, long-term planning, detailed measures, talent cultivation, and regulatory reinforcement. The results indicate that Wuhan’s policies require targeted improvements: (1) synergizing pilot innovation with legal safeguards, (2) integrating green principles into long-term planning, (3) refining technical standards and policy alignment, (4) enhancing multidisciplinary talent development through industry–academia collaboration, and (5) establishing IoT-enabled dynamic monitoring platforms. This hierarchical evaluation system provides empirical evidence for optimizing China’s construction policies while offering a transferable governance framework for global cities navigating digital transitions. Future research should extend the temporal and spatial coverage while incorporating adaptive evaluation tools to address policy dynamism. Full article

In today’s rapidly evolving global landscape, the need to cultivate innovation-ready, globally competent talent has become a strategic imperative. This study critically investigates how sustainable open innovation strategies—particularly within non-profit organizations and university alliances—can serve as a catalyst for global talent development. Responding to the growing demand for interdisciplinary, cross-sectoral collaboration, the research employs a robust mixed-methods approach, integrating the Analytic Hierarchy Process (AHP) and Fuzzy Analytic Hierarchy Process (FAHP) to evaluate and prioritize key strategic factors. The findings reveal that initiatives such as international internship programs, operational funding mechanisms, joint research ventures, and technology transfer are essential drivers in creating environments that nurture and scale global talent. Building on these insights, this study introduces a structured, sustainable innovation model that categorizes strategies into three tiers—collaborative, interactive, and foundational service-oriented actions—providing a practical roadmap for resource optimization and strategic planning. More than a theoretical exercise, this research offers actionable guidance for non-profit leaders, academic administrators, and corporate partners. It highlights the reciprocal value of multi-sector collaboration and contributes to a broader understanding of how mission-driven innovation ecosystems can foster resilient, future-ready workforces. By positioning non-profit–academic partnerships at the center of global talent strategies, the study sets a foundation for rethinking how institutions can co-create value in addressing pressing global challenges. Full article

As a core application of V2X technology, vehicle–road collaboration enables dynamic coordination among road users (pedestrians, vehicles), infrastructure, and networks through real-time, omnidirectional information exchange. This system represents a pivotal solution for addressing critical transportation challenges, including traffic congestion, safety risks, and environmental sustainability. Its experimental teaching, as the core linkage of theoretical innovation and technical verification, is of vital importance to the cultivation of intelligent transportation talents. Compared with traditional experimental teaching, the V2X semi-physical simulation platform effectively reduces capital investment, completely eliminates the safety risks of actual road tests, and emulates the real traffic environment. To verify the teaching effectiveness of this platform, based on the OBE concept and the BOPPPS teaching method, this study constructed an experimental curriculum framework driven by learning goals and conducted an empirical analysis taking global path planning as an example. Teaching evaluation adopts a combination of subjective and objective methods: Subjective evaluation is conducted through questionnaire surveys, and the proportion of those satisfied with the teaching effect reached more than 80%. The objective evaluation consists of eight performance indicators before class, during class and after class. Through reliability analysis, the performance of students in the observation group was shown to increase by 17.39% compared with that in the control group. The results show that the experimental teaching mode based on the V2X semi-physical simulation platform significantly improves the teaching effectiveness of the vehicle–road collaboration course compared with traditional methods. Full article

The digital economy is a key area for nurturing new productivity and a strategic high ground for innovative development and international competitiveness. This paper innovatively constructs the PCT (Policy–Coordination–Talent) analysis framework to systematically analyze the U.S. digital economy development model from three core dimensions: policy guidance, coordination mechanisms, and talent strategy. Through empirical analysis, the research develops three matrices: a leading policy intensity strategy matrix, a coordination mechanism intensity strategy matrix, and a digital talent cultivation strategy matrix. The findings reveal that the U.S. government has formed a resilient digital economy development paradigm through forward-looking policy guidance, precise coordination mechanisms, and systematic talent strategies. The theoretical contributions include developing a multi-dimensional PCT framework for understanding digital economy development models and constructing three strategy matrices based on real data. The research provides theoretical insights and policy implications for China to improve its digital economy governance system and promote high-quality development. Full article

Quality education is one of the Sustainable Development Goals (SDGs) set by the United Nations, and the integration of international education into the teaching environment is a vision shared by educational institutions today. This integration aims to equip students with a global perspective and respect for diverse cultures. To promote the cultivation of international talent and enable students to better align with global standards, the Ministry of Education in Taiwan has issued the “White Paper 2.0 on International Education for Primary and Secondary Schools” as a policy guideline for implementing international education, reflecting a commitment to adapting to the trends of globalization. This study employs a survey method to examine the changes in students’ international literacy and learning attitudes after engaging in international education. Additionally, the study explores the predictive power of these two factors to assess whether the integration of international education contributes to transforming students’ perspectives and attitudes. The analysis reveals that international education enhances students’ international literacy and learning attitudes. Furthermore, the level of international literacy can predict the quality of students’ learning attitudes, confirming that integrating international education into curricula and environments is indeed essential for achieving the goal of sustainable development. Full article

As China’s carbon inclusion policies are gradually implemented, significant progress has been made in energy conservation and emission reduction. The economical use of energy is the basis for the reduction in carbon emissions, which is a direct reflection of the benefits of energy efficiency initiatives. Nonetheless, the lack of technological innovation, challenges in carbon emission monitoring, low levels of public participation, and inadequate talent cultivation present significant obstacles to the development of energy conservation and carbon inclusion. This paper, grounded in the theory of planned behavior (TPB), addresses the issue of low public participation in emission reduction initiatives. By employing a questionnaire survey, designing a 5-point Likert scale, and utilizing SPSS techniques for regression analysis and chi-square testing, this study explores and analyzes the potential factors influencing public willingness to engage in carbon emission reduction initiatives (CERIs). This research provides theoretical reference for relevant government agencies and industry insiders to formulate and implement the policies of energy saving and carbon reduction and provides targeted suggestions for China’s energy market to help them realize the sustainable development of low-carbon, energy saving, and environmental protection. Full article

This study examines the Chemical Engineering and Technology major at Nanjing Forestry University as a case study to explore a sustainable improvement and development model for the major, grounded in the principles of Outcome-Based Education (OBE) and the Plan-Do-Check-Act (PDCA) framework. In the context of new engineering education and integrating the core concepts of engineering professional education accreditation, this research merges the OBE concept with the PDCA model to promote the sustainable enhancement of the Chemical Engineering and Technology major. The objective is to assess the effectiveness of this professional construction model based on the OBE and PDCA framework in fostering the sustainable development of students. The findings indicate that by establishing a cultivation system aligned with the new economy, restructuring the interdisciplinary curriculum, and implementing a diversified evaluation system, it is feasible to nurture high-quality technical engineering talents equipped with social responsibility, teamwork skills, innovative thinking, and an awareness of sustainable development. This study demonstrates that this professional construction mechanism and model significantly contribute to developing sustainable education, enhancing engineering practice and innovative awareness, and cultivating applied innovative talents among students. Furthermore, this study not only offers new insights for specialty construction but also serves as a practical reference for improving teaching quality and meeting societal demands. Full article

Green technological innovation is pivotal in advancing the ‘dual carbon’ target and promoting sustainable and low-carbon development. This research examines 17 prefecture-level cities in Hubei Province, employing the Super-SBM model for assessing emissions of carbon efficiency from 2010 to 2020. The kernel density estimation and the Dagum coefficient of Gini are also used to examine the spatio-temporal differentiation and the evolution of these efficiencies. A data panel regression model is utilized to evaluate how green technological innovation impacts carbon emission efficiency in Hubei Province. The research revealed that (1) Hubei Province’s carbon emission efficiency first fluctuated and then increased rapidly, and (2) the overall regional difference in carbon emission efficiency in Hubei Province shows a trend of first decreasing and then gradually increasing. The Wuhan metropolitan area and the Xiang-yang-Shiyan-Suizhou-Shennongjia urban area are quite different; the differentiation within the Yichang-Jingzhou-Jing-Enshi urban agglomeration shows a narrowing trend. (3) The innovation elements of green technology are positively correlated with the effectiveness of carbon emissions; the relationship between economic expansion and population density among the control variables also shows a positive correlation, while the industrial structure and government environmental regulations are negatively correlated. (4) In Hubei Province, there is a temporal lag between green technological innovation and its impact on carbon emission efficiency. Capital investment and technical achievement currently enhance carbon emission efficiency, while human capital positively affects carbon emission efficiency during a second lag period. This article proposes countermeasures and recommendations for R&D capital spending, innovative talent cultivation, and regional differentiation, providing specific references to advance the coordinated growth of the whole Hubei Province and green sustainable development. Full article

The strategic goal of high-quality national development depends on intelligent manufacturing, where introducing and cultivating high-end technical talent is crucial. Although prior research has linked talent policies to technological innovation, few studies have examined how targeted talent policies promote intelligent transformation in enterprises. Methods: Focusing on industry fit, this study uses new-energy-vehicle companies to represent advanced manufacturing. Drawing on targeted talent policies issued by major Chinese cities from 2016 to 2022, we employ a multi-period difference-in-differences model to assess how these policies attract high-skilled talent related to the new-energy automotive sector and drive intelligent investment and technological upgrading. Results: Our findings indicate that targeted talent policies significantly boost intelligent investment, which holds for robustness tests. Mechanism analyses reveal that these policies optimize firms’ human capital by increasing the share of highly educated and technical employees, thereby enhancing technological innovation, patent output, production quality, and efficiency. Conclusions: This research extends the capital–skill complementarity theory by highlighting the importance of specialized talent for intelligent transformation. The results offer data-driven insights for refining talent policies to support the intelligent development of the new-energy-automobile industry. Full article

As artificial intelligence (AI) technology continues to advance and iterate, various industries have undergone intelligent reformation. China’s animal husbandry industry, given its importance for people’s livelihoods, is no exception to this transformation. Using AI technology in this field is becoming increasingly common since it not only improves production efficiency but also revolutionizes traditional business models. Animal science is a fundamental discipline that drives the progress of animal husbandry by studying the growth, breeding, nutritional needs, and feeding management of livestock and poultry. This discipline also explores advanced veterinary theories and technologies for epidemic prevention and control. The ultimate objective of this discipline is to ensure the production of high-quality and sufficient animal products to fulfill the demands of both production and daily life. It is predicted that the deep integration of AI technology into animal science will bring unprecedented opportunities to the animal husbandry industry. This study aims to explore the impact of artificial intelligence (AI) on students’ learning experiences and future educational directions. By situating the research within the context of current developments in educational technology, we hope to provide valuable insights for educators and policymakers and employ a questionnaire survey to explore the perceptions and attitudes of students majoring in animal science from various agricultural institutions in China toward this integration. The results of the study provide valuable and practical references for the cultivation and development of artificial intelligence talent in China’s livestock industry. Full article