Innovative Resource Research Articles

Generative AI and Education: A Symbiotic Relationship

Generative AI, with its capacity to create diverse content formats, holds immense potential to revolutionize the educational landscape. This research paper delves into the multifaceted ways in which generative AI can enhance teaching and learning, fostering a symbiotic relationship between technology and human ingenuity. Personalized Learning: Generative AI can analyse vast datasets of student performance and engagement to create adaptive learning paths, tailoring instruction to individual needs and preferences. This personalized approach ensures that each learner receives the optimal level of support and challenge, maximizing their potential for growth and development. Engaging Learning Experiences AI-powered tools can generate a wide range of interactive and immersive learning materials, such as simulations, virtual labs, and gamified experiences. These innovative resources can make education more engaging and enjoyable, capturing students' attention and motivating them to actively participate in the learning process. Streamlining Administrative Tasks Generative AI can automate time-consuming administrative tasks, such as grading assignments, providing personalized feedback, and generating comprehensive reports on student progress. By freeing up valuable time and resources, educators can focus on more meaningful interactions with students, fostering a deeper connection and a more supportive learning environment. Ethical Considerations While generative AI offers numerous benefits, it is essential to address potential challenges and ethical concerns. Data privacy, algorithmic bias, and the responsible use of AI are critical issues that must be carefully considered. By establishing clear guidelines, developing robust safeguards, and providing educators with the necessary training and support, we can mitigate risks and ensure that AI is used ethically and effectively in education.

Ambidexterity innovation resource allocation strategies for resource-poor enterprises and resource-rich enterprises in different competitive environments

Ambidexterity innovation resource allocation strategies for resource-poor enterprises and resource-rich enterprises in different competitive environments

STI or DUI modes of innovation: Evidence from comprehensive evaluation of four cities in China

The Science and Technology Innovation Center holds a pivotal position in the national science and technology innovation system, and a scientific evaluation of the “Sci-tech Innovation Center” will guide its construction direction. This study found the advantages and disadvantages of the four cities through comparison; Hence improvement suggestions were proposed for the weaknesses of the four cities. There are two main paths for the government to drive technology innovation: STI (Science and Technology Innovation) mode and DUI (Doing, Using, Interacting) mode. With the aid of the evaluation index system of the Sci-tech Innovation Center, this article uses fuzzy sets, rough sets and fuzzy dynamic clustering methods to comprehensively evaluate the effects of driving technology innovation in the four cities of Beijing, Shanghai, Shenzhen and Guangzhou. The results found that Shenzhen has a significant effect in DUI, and Beijing has a significant effect in STI. The choice of path is related to the abundance of innovation resources.

Research on the path of technological innovation and resource allocation optimization of state-owned enterprises from the perspective of ecological environment and biomechanics

In the evolving global landscape, competition among nations has increasingly centered on the allocation of innovation resources, which are crucial for enterprises to implement development strategies under supply-side reforms. The efficiency and rationality of resource allocation directly affect the innovation capacity and operational performance of enterprises. This paper examines the relationship between technological innovation and resource allocation in state-owned enterprises through the lens of the ecological environment, employing data from multiple sources and utilizing the Data Envelopment Analysis (DEA) model to assess resource allocation efficiency. The study reveals that the proportion of R&D personnel invested in enterprises in China increased significantly from 46.35% to 73.38%, while the proportion in research institutions and universities declined to 11.48% and 11.36%, respectively. These shifts underscore the growing dominance of state-owned enterprises in driving technological innovation. The findings highlight that aligning technological innovation mechanisms with ecological sustainability not only enhances innovation capabilities and competitiveness but also accelerates industrial development and contributes to the sustainable growth of the national economy.

Database Resources of the National Genomics Data Center, China National Center for Bioinformation in 2025.

The National Genomics Data Center (NGDC), which is a part of the China National Center for Bioinformation (CNCB), offers a comprehensive suite of database resources to support the global scientific community. Amidst the unprecedented accumulation of multi-omics data, CNCB-NGDC is committed to continually evolving and updating its core database resources through big data archiving, integrative analysis and value-added curation. Over the past year, CNCB-NGDC has expanded its collaborations with international databases and established new subcenters focusing on biodiversity, traditional Chinese medicine and tumor genetics. Substantial efforts have been made toward encompassing a broad spectrum of multi-omics data, developing innovative resources and enhancing existing resources. Notably, new resources have been developed for single-cell omics (scTWAS Atlas), genome and variation (VDGE), health and disease (CVD Atlas, CPMKG, Immunosenescence Inventory, HemAtlas, Cyclicpepedia, IDeAS), biodiversity and biosynthesis (RefMetaPlant, MASH-Ocean) and research tools (CCLHunter). All resources and services are publicly accessible at https://ngdc.cncb.ac.cn.

PROFESSIONAL DEVELOPMENT IN BASIC EDUCATION

This article seeks to explore the perspectives and challenges faced by teachers in the context of basic education in relation to professional development. Based on an analysis of training practices and public policies aimed at teacher training, we will discuss the main trends and innovations that have emerged in the field, in addition to offering reflections on how these initiatives directly impact the quality of teaching and student learning. To this end, a bibliographical research was developed to find academic productions, finding authors who research on the subject, expanding the theoretical repertoire. Professional development in basic education faces challenges due to recent transformations in the educational environment. The search for quality, equitable and inclusive education becomes increasingly complex in view of the realities found in schools. In recent years, the profile of children has changed, requiring new didactic and practical approaches from educators. This evolution requires the creation of more dynamic learning environments and the use of innovative resources that can meet the diverse needs of students. Therefore, it is essential that education professionals reflect on their methodologies and seek alternatives that provide new meanings to the contemporary educational system. These changes not only challenge educators to adapt, but also offer opportunities for the implementation of pedagogical practices that promote more collaborative and student-centered teaching. It was concluded, therefore, that continuing teacher training is essential for us to meet the current and future demands of basic education.

Navigating Challenges in Online Cybersecurity Education: Insights from Postgraduate Students and Prospects for a Standardized Framework

This study focuses on the challenges encountered in online cybersecurity education. It adopts an exploratory research design using a mixed-methods approach to investigate the perceptions and experiences of postgraduate students enrolled in an online cybersecurity program. The collection of data is structured into two distinct phases. In the initial phase, qualitative insights are gathered through workshops with students and industry experts, followed by administering a questionnaire to delve deeper into students’ perceptions and challenges. Thematic analysis of the responses reveals significant interest in online cybersecurity programs but also highlights issues such as ineffective communication and poor engagement. The findings highlight the necessity for a standardized framework to improve communication, engagement, and overall effectiveness in virtual learning environments. By empowering instructors to design more interactive courses and leveraging technology efficiently, the framework aims to improve student motivation, satisfaction, and learning outcomes. Moreover, it serves as a valuable resource for institutions, fostering collaboration and innovation in cybersecurity education. Implementing this framework will create a more conducive learning environment, directly enhancing student preparation for success in the dynamic field of cybersecurity.

Effect of green trade barriers on export enterprise green technological innovation from the perspective of the low-carbon city pilot policy

The low-carbon city pilot policy (LCCPP) is an important part of achieving “dual carbon” goals and promoting green technology innovation (GTI) in Chinese export enterprises. This study integrates Green Technical Barriers to Trade (GTBTs), LCCPP, and the GTI of exporting enterprises into a unified framework based on data from A-share market Chinese non-financial export enterprises from 2007 to 2021 and discusses how export enterprises should optimize green innovation resource structure with support from LCCPP to facilitate enterprise GTI when facing GTBTs. Several findings are uncovered: (1) GTBTs have a significant negative impact on the GTI of Chinese export enterprises, and the LCCPP significantly mitigates the negative impact of GTBTs on export enterprises’ GTI. (2) After distinguishing the heterogeneous characteristics of export enterprises, the moderating effect of the LCCPP becomes even more pronounced in non-state-owned enterprises, general trade enterprises, and enterprises whose export destinations are high-income countries. (3) Further exploration of the moderating effect of the LCCPP with different policy instruments and intensities is needed. We found the best moderating effect on export enterprises’ GTI under high policy intensity, and only market-based policy instruments had a significant moderating effect. These findings provide direction for policymakers expanding the pilot scope of low-carbon cities as well as theoretical support for realizing foreign trade growth for sustainable development.

Whole-of-Nation Innovation

China wants to become a science, technology, and manufacturing superpower by upgrading and modernizing its industrial base and concentrating the nation’s innovation resources around strategic priorities. However, it is difficult for the state to integrate innovation resources because of the gap separating universities and research organizations from industry, which impedes the translation of scientific output into technological prowess. By contrast, Beijing has been much more successful at directing industrial development. As a result, achieving a modernized industrial base is now the dominant framework for Chinese policymakers as they pursue technological self-reliance.

Initiating systemic capacity development for leadership from the bottom-up: a realist evaluation of a leadership innovation in a South African health district.

The need for leadership in and of district health systems is critical for the effective delivery of services and for inter-sectoral collaboration for health. Leadership capacity development has not, however, been prioritised within health systems and the systemic capacity (i.e. roles, structures, and processes) that is needed to develop managers who can lead is not always in place. This paper aims to contribute to understanding how to build such capacity, considering a relevant bottom-up innovation. We observed, in the period 2013 - 2015, the emergent implementation of this innovation (a 'Leadership Commission') in a South African health district. What started out as an effort to train individual leaders evolved into the development of systemic capacity for leadership capacity development (LCD). We adopted realist evaluation as the main methodological approach, as well as case study design; and we first developed a programme theory of the internally driven LCD initiative, through a round of interviews with senior managers. We then tested the programme theory drawing on fourteen in-depth interviews and field notes of meetings and processes. Our analysis suggests that building systemic capacity for LCD requires leadership to be expressed as a strategic priority by those with positional authority; and that bottom-up LCD requires institutional commitment through strengthening routine structures or creating new ones. The ability to leverage existing resources is another key element of systemic capacity. The mechanisms that enable bottom-up capacity development include tacit and experiential knowledge, sensemaking, systems thinking, and trust between, and motivation of, those tasked with leading LCD. Leadership development is constrained by increased workloads for those involved if the prioritisation of leadership becomes simply an additional task, and sustainability challenges are likely in the absence of additional resources for bottom-up innovation.

Guangdong’s New R&D Institutes

In pursuit of technological development, China has created new organizations to promote innovation. This brief examines New Research and Development Institutes (NRDIs), which are designed to foster knowledge transfer to industry. NRDIs were pioneered in Guangdong province in the 1990s, and have gained prominence in China’s national science, technology, and innovation policies since the 13th Five-Year Plan (2016–2020). NRDIs are defined by their market orientation and extremely flexible organizational form. They work by establishing “innovation platforms” with local governments and private knowledge actors to carry out research and development (R&D), commercialize scientific and technological achievements, incubate local technology industries, and cultivate high-end talent. NRDIs have been instrumental to regional development in Guangdong, and especially Shenzhen, where they have succeeded in attracting talent from outside the region. NRDIs have important policy implications for international competition for talent. Understanding NRDIs is crucial for other countries that want to improve their own inter-regional innovation resources and respond to the challenge of China’s drive to attract global talent and knowledge resources.

An online workshop to raise awareness of pelvic floor in track and field female athletes: a quasi-experimental study.

Track and field is a high-impact sport that may facilitate pelvic floor dysfunction (PFD) of females. Although increasing the information may reduce deleterious habits, the traditional workshops to date did not motivate and engage the female athletes. This study aimed to evaluate the effects of an online educational workshop about pelvic floor awareness on knowledge and habits of track and field female athletes. A total of 49 track and field athletes participated in this quasi-experimental study: 38 attended an educational workshop and 11 did not. The workshop included innovative resources, such as 3D anatomic models, practical proprioceptive exercises guided by physiotherapists, and an anonymous questions and answers section. Before and 1month later, all the athletes fulfilled an anonymous questionnaire to assess their knowledge about urinary incontinence (UI), ano-rectal incontinence (ARI), pelvic organ prolapse (POP) and female sexual dysfunction (FSD), as well as toileting and sports habits. After attending the workshop, athletes obtained higher scores in knowledge about ARI (p = 0.019), POP (p < 0.001), and FSD (p = 0.018) compared to baseline and athletes who did not attend it. No improvements were observed in habits and knowledge about UI (p > 0.05). The athletes who reached 70% of correct responses about POP had greater number of healthy habits than the rest of the athletes. An innovative educational workshop about pelvic floor increases knowledge of track and field female athletes but is insufficient to modify their habits. Sports and health professionals should design educational strategies to manage the most unknown topics about pelvic floor care, considering that the proposed methodology and innovative resources are effective to increase knowledge.

The power of speed: High-speed railways and scientific research competitiveness in China

This paper investigates the impact opening of high-speed railways (HSR) on scientific research competitiveness using data from the National Natural Science Foundation of China (NSFC) research grants. We employ a difference-in-differences framework to estimate the causal effects of the treatment universities located in cities connected by HSR. Our results indicate that the treatment universities experience significant improvements in their scientific research competitiveness. To understand the underlying mechanisms, we reveal the extensive positive effects of HSR on human capital accumulation, government funding, and information resources. These findings shed light on the microscopic mechanisms that facilitate positive spillover of knowledge creation and innovation resources from large cities to small cities through transportation infrastructure.

Knowledge Spillovers and Integrated Circuit Innovation Ecosystem Resilience: Evidence from China

A resilient innovation ecosystem is an important guarantee for enhancing industrial competitiveness. Knowledge spillover is the key driving force to enhance system resilience. Firstly, we use the MEREC-CoCoSo method to calculate the resilience level of the integrated circuit (IC) innovation ecosystem and analyze the evolution trajectory of the resilience before and after the emergence of the “stuck-neck” problem. Secondly, based on the panel data of 30 provinces (autonomous regions and municipalities directly under the central government) in China from 2011 to 2021, this paper analyzes the mechanism of the impact of intra-regional knowledge spillovers on the resilience of IC innovation ecosystems using the fixed-effect model and analyzes the spatial effect of inter-regional knowledge spillovers on the resilience of innovation ecosystems using the spatial Durbin model under the human capital matrix. Finally, we analyze the regulating role of contractual and relational governance mechanisms and try to open the “black box” of governance. The result shows the following: (1) The polarization of innovative ecosystem resilience of integrated circuits is gradually increasing, with strong spatial agglomeration, high–high agglomeration, low–low agglomeration, and low–high dispersion, and there is an obvious “matthew effect” and “siphon effect”. (2) Both intra- and inter-regional knowledge spillovers contribute significantly to the resilience of IC innovation ecosystems. The contractual governance mechanism can effectively enhance the impact of knowledge spillovers on the resilience of innovation ecosystems in the region, and the relational governance mechanism has a positive impact on the resilience of innovation ecosystems in neighboring regions. (3) Heterogeneity results show that knowledge spillovers within the Pan-PRD region have a significant positive impact on innovation ecosystem resilience. Knowledge spillovers between regions with low innovation capacity have a double effect on innovation ecosystem resilience, and knowledge spillovers between regions with “talent highlands” have a facilitating effect on innovation ecosystem resilience. Accordingly, policy recommendations are put forward to open up channels for innovation knowledge spillover, realize effective allocation of innovation resources, and optimize the system of innovation talents.

Finding Meaning in Life for Human Flourishing and Wellbeing: A Mixed Method Research Exploring the Benefits, Possibilities and Challenges of the “On Our Journey” Cards

The “On Our Journey” cards are an innovative resource and an accompaniment to live a happy life, helping individuals to identify, express and regulate their feelings, reflect, make healthy choices, validate their values/principles, and calibrate their life compass. The resource presents a process map where one can find meaning in one’s own actions and life and develop positive mental health which may not only change one’s life but create positive energy that will spread to people who play together with the “On Our Journey” cards, creating a sense of wellbeing and peace. The cards were developed by the Happy Life (Relationships are Forever Foundation) in Malta, together with a team of professionals. Through a set of questionnaires answered by participants who attended a three-day workshop training on the use of the “On Our Journey” cards, and a focus group with seven participants, four main themes emerged that explored the possibilities and the challenges of the cards. These are: the search for meaning in life and spirituality, positive mental health, wellbeing, and present-moment awareness. Results highlight the importance of understanding how to use the cards and the importance of being prepared for potentially challenging initial reactions. Mastery of card usage and allowing time to trust in their effectiveness can lead to significant improvements in human flourishing, mental health, well-being, spirituality, self-awareness, and meaning in life. This paper provides a valuable opportunity for educators and professionals to consider integrating the "On Our Journey" cards into their personal lives and professional practices.

PTNS: patent citation trajectory prediction based on temporal network snapshots

With the rapid development of science and technology, the pace of development in the knowledge economy is accelerating. Intellectual property, especially patents, is a strategic resource for technological innovation and a crucial support for building an innovative country. Therefore, it is particularly important to predict patents with high value and strong impact from the numerous and uneven-quality patents. However, patent citation behavior involves many uncertainties, and it is difficult to capture its temporal variations effectively. Therefore, this paper proposes a patent citation trajectory prediction model (PTNS) based on temporal network snapshots. It adopts relational graph convolutional networks (R-GCN) to learn the complex relationships among multiple attributes of patents and utilizes bidirectional long short-term memory networks (BiLSTM) to aggregate the temporal evolution differences of patents. Subsequently, principal component analysis (PCA) is used to explore the evolution characteristics of patent citations in depth, thereby capturing the aging effect and the ‘sleeping beauty’ phenomenon. Compared with other baselines, the PTNS performs well. In predicting new, grown, and random patents, the RMSLE decreases by approximately 0.04, 0.14, and 0.18 respectively, while the MALE decreases by approximately 0.04, 0.12, and 0.16 respectively.

Impact of heterogenous capabilities on export performance amid the digital transformation

We investigate the effects of adopting digital technology on export performance of Korean manufacturing firms amidst the digital transformation. We recognize firm-level capabilities should be closely associated with adoption of rapidly progressing digital technology but also with export performance. And our data indicates that the most common purpose of digital technology adoption is to launch new products to the market. Hence, we consider that technology adoption is a strategic and purposeful decision to gain competitive edge mostly by producing new product, and treating technology adoption exogenous can be misleading. Due to the endogeneity and selection issues in technology adoption, the endogenous switching regression is applied to this study as Coad et al. (2020). On technology adoption decision, we find external innovative resources from strategic alliance in addition to internal innovative capabilities stand out. Given technology adoption decision, internal capabilities like patent rights and international affiliation are complementary factors to export growth. The treatment effect analysis has implications as follows: the result on contribution of technology adoption to export growth for actually adopting firms is rather small, and shows heterogenous innovation, organizational, and external capabilities are still critical factors as much as new products embedding high-end digital technology; the result on non-adopting firms indicates potential of advanced digital technology to improve export performance by helping to produce such new products if they were actually capable to do it. In sum, our findings provide another evidence that structurally positive interaction between innovative activities and export performance as Aw et al. (2011), since adoption of digital technology to products itself is innovative in the digital transformation. Furthermore, the result is consistent with the capability theory in that heterogenous innovative and complementary capabilities determine strategic technology adoption and export performance simultaneously. Finally, our findings indicate that the digital transformation might be still at the early stage. The fact that Korean firms have adopted advanced digital technology mainly for new products can be interpreted as an indicator of early development stage of transformation, since firms concentrate on product innovation than process innovation to gain competitive edge at the early stage (Utterback and Abernathy, 1975). Thus, we expect that further evolution of digital transformation can facilitate process innovation, then contribute to firm performance by improving cost efficiency that should be tackled in the upcoming study.

Exploring Current Challenges and Opportunities in Media Literacy Skills for Youth: Stakeholders’ Perspectives

The widespread dissemination of contradictory information through various media platforms can increase anxiety and confusion among younger generations. This highlights the need to promote Media Literacy (ML) skills, enabling them to evaluate online information's validity critically. Video game-based learning can be valuable in this context, fostering active learning and critical thinking. Therefore, developing and sharing innovative resources like interactive content and video games is crucial to enhancing young people's ML skills and resilience to disinformation. The YO-MEDIA project, involving three universities in Italy, Portugal, and Spain and a journalist association, aims to develop ML in young people during times of crisis (e.g., pandemics and wars) through game-based learning strategies and professional training. The project carried out 29 semi-structured interviews in the partner countries with various stakeholders to understand perspectives on media design practices and ML formulation for young people in crises. These interviews aimed to collect education and media professionals' insights on promoting ML and critical thinking among youth during crises. It also seeks to gather best practices and understand these professionals' challenges when fostering ML among youth. This study's findings suggest that the interviewees deem ML vital for distinguishing accurate information from misinformation during crises, especially relevant for young individuals. Essential skills for these young people include critical thinking, filtering information, and recognizing online threats. Effective strategies involve operating within digital environments frequented by young people, encouraging critical thinking, and nurturing collaboration. Professionals face challenges such as a lack of training, engaging young people's attention, and keeping pace with digital environments. The interviewees also emphasized the importance of ML training for informal educators and media professionals. They recommended Massive Open Online Courses (MOOCs) for their flexibility and accessibility. According to the interviewees, an ML game should involve research, interpretation, and decision-making processes and be accessible to young people with disabilities. They identified several ML projects and resources, including multimedia labs, youth parliaments, and critical thinking tools. This study contributes to developing games that promote critical thinking and ML in young people. It also aids in establishing ongoing professional training in ML for informal educators, teachers, media professionals, and other stakeholders.

Connection of innovation activity effectiveness and technological novelty of innovation output

The paper studies the relationship between the innovation performance of Russian industrial enterprises and the degree of technological novelty of their innovative products. For this purpose, the innovation function is introduced. That function reflects the dependence of the “output” of the innovation process on its factors measured by the costs of process and product innovations. Hypotheses about the properties of this function are discussed. The relationship between the two types of innovation costs is considered. As an indicator of technological efficiency the ratio of the value of innovative products to the innovative resource costs is used. The dependence of the performance indicator on innovation costs is investigated. The points of local maxima (local technological optimum) of the performance indicator for the size classes of Russian industrial enterprises are found. It is shown that there is a relationship between the effectiveness of innovative activity and the degree of technological novelty of innovative products. As an indicator of the degree of technological novelty the share of the innovative products new to the market in all innovative products is used. It was established that there is a change in the trend of innovative production from the production of radical to incremental innovative products when approaching the technological optimum.

The Intelligent Upgrading of Logistics between an Internet Enterprise and a Logistics Enterprise Based on Differential Game Theory

At the background of “Internet + Logistics”, intelligent logistics has high operational efficiency and provides a superior customer experience, meeting the requirements of sustainable development. It also plays a crucial role in promoting the modernization of the industrial chain in China. This paper develops a mathematic model based on differential game theory, which sets the intelligent level of logistics and the goodwill of intelligent logistics as state variables. The research reveals the collaborative strategies between a logistics enterprise and an Internet enterprise for the intelligent upgrading of logistics, and separately calculates the optimal effort levels and optimal revenues of participating enterprises under the non-cooperative mechanism, the cost-sharing mechanism, and the cooperative mechanism. This paper also observes the crucial parameters that affect the optimal revenue for the intelligent upgrading of logistics. The research findings are as follows: (1) Cost-sharing mechanism and cooperative mechanism can motivate the Internet enterprise and the logistics enterprise to improve their effort levels and increase the total revenue, which achieves the Pareto improvement. Under the cooperative mechanism, the intelligent level of logistics and the goodwill of intelligent logistics are the highest. (2) Participating enterprises can promote the intelligent upgrading of logistics by accumulating innovative resources for intelligent logistics, attaining cost-conversion efficiency, and cultivating customer preferences for intelligent logistics services. (3) When the revenue-sharing ratio of the logistics enterprise is relatively low, although the cost-sharing mechanism can continuously motivate a logistics enterprise to make an effort in the intelligent upgrading of logistics, it is not conducive to enhance the goodwill of intelligent logistics. This paper highlights the pivotal role of enterprise collaboration in the intelligent upgrading of logistics, and proposes practical recommendations.