Engineering Talents Research Articles

Research and Exploration on CDIO-based Experimental Teaching of C Language Programming

Under the background of new engineering science, in order to play the role of local universities in supporting the regional economic development and industrial transformation and upgrading, the experimental teaching of C language programming faces new challenges and opportunities, and further reforms should be promoted in order to meet the needs of cultivating composite engineering talents. Aiming at the current C language programming course experimental teaching cases with low level differentiation, insufficient fun and low comprehensiveness, we designed a series of experimental cases with certain level differentiation, increased the fun of the cases, and designed a comprehensive experimental teaching case of breaking through barriers. The design concept and realization scheme of the case are studied and explored in detail. This research practice is guided by the concept of CDIO, effectively combine theoretical knowledge and programming practice, so as to improve students' practical ability and cultivate their computational thinking and innovative thinking ability.

The Value and Realization of Choral Conducting Talent Cultivation for Music Teachers in the Context of Deep Learning

Abstract Focusing on virtual chorus, this paper analyzes the training process of VR technology and music choral conductor talents. After the construction of the online data platform, the image splicing, image alignment and image fusion algorithms of VR technology are integrated with the Harris corner detection improvement algorithm to realize the virtual chorus in the context of deep learning. The influence of family support and school aesthetic education on various dimensions of psychological needs for talent cultivation was modeled using structural equation modeling. Based on the data of music teachers using VR technology, mediated effect analysis and total effect analysis were conducted to analyze the factors influencing the use of imagery with VR technology. ANOVA was utilized to compare the data on the four dimensions of rhythmic memory, pitch, melodic memory, and listening ability to verify the effectiveness of VR technology on music teachers’ talent cultivation. The total effect analysis showed that the order of the influence of each influencing factor on the intention to use was 0.361>social influence 0.263>perceived usefulness 0.263>perceived ease of use 0.251>computer self-efficacy 0.169>convenience conditions 0.162>job relevance 0.134>simulation 0.075.

STEM as an effective pedagogical condition for the functioning of physics and mathematics classes in extracurricular education institutions

The article describes the current state of STEM as an effective pedagogical condition for the functioning of physics and mathematics classes in extracurricular education. The necessity of creating high-quality educational programs where the STEM approach plays an important role in teaching students and helps to develop talents in science, technology, engineering and mathematics is demonstrated. An example of a developed curriculum for a physics and mathematics class of extracurricular education institutions, which is designed to work with middle and high school students, is presented.

A review study with a systematic approach: pedagogical development for educators in higher engineering education

ABSTRACT The pedagogical development (PD) for educators in higher engineering education is indispensable to the promotion of educational changes and high-quality teaching and learning necessary to train twenty-first century engineering talents. With the expansion of various PD activities in engineering education in recent decades, there is a growing need to understand the characteristics and impact of current PD activities and to develop strategies for their further development. This study reviews 116 articles to provide an overview of current PD activity designs and the challenges reported in research on engineering education. The selected papers’ frameworks, duration and organizational formats, evaluation methods, teachers’ learning outcomes, research methods, and reported challenges are summarized. The findings of this study call for additional research on theory-driven designs for future PD activities as well as additional empirical PD studies using multiple data sources, a variety of research methods, and various analytical tools.

Solitary or starry? Path options of the total factor productivity improvement in the aquatic seed industry from the configuration perspective

As the top supplier of global aquaculture, China possesses the largest aquaculture seed industry, which is an essential contributor to promoting the sustainable development of fisheries and safeguarding global food security. This paper aims to explore the effective path to total factor productivity (TFP) enhancement. First, the paper designs a theoretical framework for multifactor (including resource, technology, talent, capital, and system) synergy driving aquatic seed industry development based on system dynamics. Then, the driven path of multifactor synergy for TFP improvement is investigated through the fuzzy set qualitative comparative analysis method by taking six listed enterprises in the aquatic seed industry from 2017 to 2021 as the case study. Results show that single-factor inputs, such as resource, technology, talent, capital, and system, are unnecessary conditions for improving the TFP of the enterprise. Interestingly, the sufficiency analysis shows four equivalent paths of multifactor synergy-driven enterprise TFP improvement, which are further classified into three categories denominated as resource-oriented, integrated, and technology-oriented factor configurations. Of these, resource–capital and technology–talent factor synergies are two core-driven conditions, and an equivalent substitution relationship exists between capital and system. This paper provides some recommendations for policymakers and aquatic seed entrepreneurs based on the above findings.

Unlocking the role of smart cities in technological innovation: evidence from China

ABSTRACTThis paper discusses the impact of smart city on technological innovation and the underlying mechanism. Based on county-level panel data in China from 2005 to 2020, we use the ‘smart city’ construction as a quasi-natural experiment to identify its impact on technological innovation. Our findings show that: (1) Smart city construction significantly promotes technological innovation. (2) Smart cities indirectly promote technological innovation through technology resource allocation, industry agglomeration effects, and entrepreneurial spirit. (3) Due to ‘digital divide’, the innovation effects of smart cities are more pronounced in eastern regions and cities with high levels of digital infrastructure and information technology talent endowment. (4) The ‘smart city’ pilots generate spatial spillover effects, which enhance the technological innovation level of neighbouring cities.

Research on the construction of evaluation system for high-level scientific and technological talents based on big data analysis

Abstract This paper analyzes the three-level inclusion relationship of high-level innovative talents and combs the structure of high-level scientific and technological talent evaluation models based on big data technology. Aiming at the evaluation problems of high-level scientific and technological talents, a fuzzy neural network model is constructed, and at the same time, the R&D middle school effect is utilized to evaluate the innovation achievements of high-level scientific and technological talents. Construct the evaluation index system of high-level scientific and technological innovative talents by utilizing 6 first-level indexes, 14 second-level indexes and 48 third-level indexes. Create a hierarchical analysis structure model, evaluate the indicator data through a judgment matrix and consistency test, and output the indicator weights. Analyze the relevance of the indicator model for different input layer neurons in fuzzy hierarchical analysis through comparative experiments. Use empirical analysis to analyze the innovative evaluation scores of high-level scientific and technological talents in Group A. The experimental results show that when the input layer contains 48 neurons, the loss value ranges from [0.132,1.765], the loss decreases the fastest, the stronger the indicator correlation, the stronger the generalization ability of the fuzzy neural network regression model. The overall scores of the evaluation of high-level scientific and technological talents of Group A for the first and second-level indicators are 3.54 and 3.869, respectively, and the overall view of Group A’s high-level scientific and technological talent innovative ability is better. Good.

Exploration and Practice of Cultivation Models for Exceptional Engineering Talents in Environmental Majors in the Context of New Engineering Disciplines

With the increasing demand and development requirements for environmental majors in the context of the New Engineering Disciplines, new challenges have emerged in nurturing exceptional engineering talents. This study aims to explore and implement an innovative model for cultivating exceptional engineering talents in environmental majors. This research provides valuable insights and references for the exploration and practice of exceptional engineering talent cultivation models in environmental majors.

Research on the spatiotemporal evolution and driving mechanism of coupling coordinating between green transition of urban land use and urban land use efficiency: a case study of the Yangtze River Delta Region in China.

Analyzing the spatiotemporal characteristics and driving mechanisms of the coupling coordination between the Green Transition of Urban Land Use and urban land use efficiency can help explore the future development direction of sustainable land use in cities. This paper constructs a theoretical framework for the coupling coordination between Green Transition of Urban Land Use and urban land use efficiency. We use several models, including the super-efficiency slack-based model, the coupling coordination degree model, the non-parametric kernel density estimation method, exploratory spatial data analysis, and the geographically and temporally weighted regression model to examine the real level of Green Transition of Urban Land Use and urban land use efficiency in the Yangtze River Delta region from 2003 to 2020. Based on this, we investigate the spatiotemporal evolution characteristics and driving mechanisms of the two coupling coordination processes. The study found that (1) from 2003 to 2020, the overall trend of the coupling coordination between Green Transition of Urban Land Use and urban land use efficiency in the Yangtze River Delta region tended to be coordinated and developed, but still at a primary coordination level, with sufficient room for improvement in the future. (2) The coupling coordination level of each city in the Yangtze River Delta region from 2003 to 2020 showed obvious spatial non-equilibrium and correlation characteristics, and overall dynamic polarization effects were exhibited during the study period; the spatial pattern of high-value areas showed a regularity of prioritizing Shanghai and Zhejiang Province, gradually penetrating into Jiangsu Province and Anhui Province. (3) Economic and social factors have a positive influence on the degree of coupling coordination; natural factors and policy factors have a predominantly negative influence on the degree of coupling coordination. Research conclusions include establishing a regional collaborative development mechanism, utilizing the spatial spillover effect of leading cities; emphasizing science, education, and culture, strengthening the introduction of scientific and technological talents, increasing fiscal inputs, raising the level of economic development, and further expanding the driving effect of economic and social factors; and optimizing the layout of urban and rural construction land, developing urban land in an orderly manner, appropriately strengthening environmental regulation, thereby suppressing the negative effects caused by natural and policy factors.

Research on Practical Teaching System in Network Engineering Speciality

This paper proposes the construction of practical teaching system for network engineering speciality, designs a practical teaching system composed of in-course experiments, on-campus practices and off-campus practices, arranges practical teaching according to the principle of hierarchical and progressive ability cultivation, and proposes a hierarchical and progressive practical teaching system. The practical results show that the implementation plan is conducive to promoting the construction of practical links of the specialty, improving the teaching quality, and cultivating high-quality qualified network engineering technology and network application talents for the society.

Does the Belt and Road Initiative promote international innovation cooperation?

International innovation cooperation is crucial to the enhancement of national technological innovation capabilities in the context of globalization. Does the Belt and Road Initiative (BRI), as a major international initiative, promote innovation cooperation between China and BRI partner countries? Taking the top 80 global countries in innovation capability as the research sample, this paper uses the DID method to answer this question. The empirical results show that the BRI indeed promoted innovation cooperation between them to a certain extent. Specifically, it significantly increased the proportion of their cooperative patents in China’s total patents, and the promotion effect was more obvious for countries with better economic foundations. Furthermore, the mechanism tests indicate that shortening the institutional distance, strengthening the exchange of scientific and technological talents, and stimulating cultural differences were important mechanisms promoting their innovation cooperation. Although the BRI did not significantly increase the proportion of cooperative patents in BRI partner countries’ total patents, it effectively improved their innovation foundations and capabilities.

Technological Innovations and Talent Retention: Unpacking the Relationship Between E-HRM Advancements and Employee Commitment in Sustainable Organizations

Technological Innovations and Talent Retention: Unpacking the Relationship Between E-HRM Advancements and Employee Commitment in Sustainable Organizations

Exploration of Cultivation Path of New Professional Farmers in Lizhuang Town in the Context of Rural Revitalization

The implementation of the comprehensive rural revitalization strategy is fundamentally about people who are committed to doing a good job in the three rural areas, so agricultural science and technology talents are the first resource, and new professional farmers are the backbone. The shortage of talents has been one of the main factors restricting the revitalization of the countryside. For this reason, it is necessary to pay great attention to the cultivation of new professional farmers, return to the professional attributes of farmers and promote the process of farmers' professionalization. In order to promote the revitalization of rural talents and tap more agricultural talents, we analyze the real dilemma of cultivating new professional farmers, analyze the new demand for talent cultivation in the rural revitalization strategy, clarify the types and positioning of talent cultivation, reveal the cultivation mechanism of new professional farmers, and propose the optimal way of cultivation path as a crucial step to promote traditional farmers to complete the modernization transformation, so as to provide intellectual support and talents for the comprehensive rural revitalization. It also suggests that the optimization of cultivation paths is a crucial step to promote the modernization and transformation of traditional farmers and provide intellectual support and talent guarantee for the comprehensive revitalization of rural areas.

A Study on the Impact of Industrial Robot Development on the Economy A Case Study of China

The impact of industrial robot development on the economy has long been a subject of keen interest. This research aims to explore the role of industrial robots in the Chinese economy and the factors influencing their impact. This is achieved through an analysis of the scale of the industrial robot market, its applications, the localization process, and its effects on employment and production efficiency. In the course of this study, we review the rapid growth of the Chinese manufacturing sector and the increasing adoption of industrial robots. With technological advancements, industrial robots have achieved significant milestones in fields such as automobile manufacturing and electronics production. Subsequently, this paper delves into the repercussions of industrial robots on the Chinese economy. Data indicates that the widespread use of industrial robots has significantly enhanced production efficiency, lowered production costs, and improved product quality. Furthermore, the paper scrutinizes the progress of domestication in the industrial robot sector, highlighting China's positive strides in enhancing its capacity for independent research and development, as well as manufacturing. Consequently, the rapid development of industrial robots has exerted a multifaceted impact on the Chinese economy, fostering both production efficiency and industrial upgrading, while also giving rise to a series of employment and societal issues. In the future, China should continue to intensify its efforts in technological innovation and talent development to better address the challenges and opportunities arising from the development of industrial robots, thereby promoting sustained and healthy economic growth.

Analyzing Core Competencies and Correlation Paths of Emerging Engineering Talent in the Construction Industry—An Integrated ISM–MICMAC Approach

The structure of core competencies is the key to constructing the “Chinese Standards” of engineering education and cultivating quality emerging engineering talent. This article synthesized the research results of existing theoretical analyses and educational practices. In total, 11 core competencies of emerging engineering talent were extracted via a literature review and the Delphi method, of which the hierarchical relationships and correlation paths between the core competencies of emerging engineering talent were determined via the use of Interpretive Structural Modeling (ISM) and Matrice d’ Impacts Croisés Multiplication Appliqués à un Classement (MICMAC), where corresponding improvement strategies were eventually proposed. It was found that professional knowledge and engineering thinking, as independent factors, have the greatest impact on the core competencies of emerging engineering talent. Taking the lead in cultivating the core competencies, which are dependence factors, including entrepreneurial ability, lifelong learning ability, professional ethics, patriotism and collectivism, and intercultural competence, is more conducive to improving the quality of emerging engineering talent, enabling the cultivation of high-quality composite talent with strong engineering practical abilities, innovation abilities, and international competitiveness. The hierarchical relationships and correlation paths determined in this study provide theoretical support for developing scientific objectives for emerging engineering talent training, carrying out educational practice, and reducing the difficulty in application practices. The results of this research support the viewpoint that “professional foundation and practical ability” should be stressed. Limited by the disciplinary backgrounds of the authors, the compatibility between the core competencies’ framework of emerging engineering talent proposed in this article based on the construction industry and other industries still needs to be further explored.

The impact of external resources on the development of an indigenous school in rural areas: Taking a junior high school in Taiwan as an example

The UN SDGs presented a vision for sustainability and the reduction of inequality within a country. The Taiwanese government uses many external resources to develop rural education. This study was conducted in a small public junior high school in a remote indigenous community in central Taiwan. Due to the economic downturn, the population in the indigenous community is outflowing, and the number of students is decreasing. With external resources, such as the Project of Female Science and Technology Talent Development from the Ministry of Science and Technology in Taiwan and other plans, this study introduces a full-time researcher as a teacher to promote science education in the research school. Implementing the projects improves students' academic performance and encourages students to participate in science competitions and achieve success. This study explores first the impact of the school's implementation of the Ministry of Science and Technology program on the development of the school; second, the results of the development of the school-based curriculum; and finally, it quantifies the statistics of the students' changes in the National High School Entrance Examination results. The impact of external resources on school development is determined by analyzing the performance of the participating students. This study finds that the Ministry of Science and Technology program plays an essential role in the development of the school, providing a key platform for teachers' growth, enriching school funding, developing featured courses, and encouraging students' performance. External resources have significantly improved students' results on the National Examination and facilitated students' motivation to learn science.

How Does Economic Resilience Enhance the Innovation Capability of the High-Tech Industry? Evidence from China

There is still a significant gap between most high-tech fields in China and developed countries, and the relationship between the economic resilience of innovation systems and the innovation capability of the high-tech industry has received attention. Using data from 30 provinces in China, this study adopts the fuzzy-set qualitative comparative analysis approach to analyze the relationship between economic resilience and high-tech industry innovation capability, and the findings are as follows: (1) Technological talents and economic development are necessary conditions for explaining the high innovation capability of high-tech industries. (2) The combination of economic resilience and different factors constitutes the equivalent configuration of two high innovation capabilities and four low innovation capabilities. (3) Under high-intensity technological competition between governments, the increased agglomeration of technological talents, and high-quality economic development, the strengthening of economic resilience is conducive to enhancing the innovation capability of high-tech industries. (4) Under low-intensity technological competition between governments, a well-developed technology market, and increased agglomeration of technological talents, the strengthening of economic resilience is adverse to enhancing the innovation capability of high-tech industries. The main contribution of this study is to clarify the configuration mechanism of economic resilience that acts on the innovation capability of the high-tech industry and reveal the complex interaction between economic resilience and multiple factors.

Exploring the Cultivation Mode of Innovative Master's Degree Students in New Engineering under the Perspective of New Media

With the arrival of the informationization era and the rapid development of information technology, online media has become the main channel of information dissemination in today's society. New media has changed the way people get information, and it also affects the employment and entrepreneurship of master's degree students to a great extent. Therefore, new media should be used as a carrier to strengthen the research on the training mode of innovative master's degree students in new engineering disciplines and explore the construction of an effective new master's degree training mode. This paper analyzes the current situation of the cultivation of innovative master's degree students in new engineering, the trend of cultivating new engineering talents with the help of new media, the opportunities and challenges of the cultivation of innovative talents in new engineering under the perspective of new media, and combines some of them with a view to providing references for the cultivation of innovative master's degree students in colleges and universities.

Canada’s bid to attract technology talent

The Canadian government began implementing a Tech Talent Strategy in July 2023 that eases immigration restrictions to attract foreign entrepreneurs and skilled workers. The initiative, greeted with overwhelming demand on its launch, responds to a shortage of tech skills in the domestic workforce and targets H-1B visa holders in the United States.

Exploring the sustainable growth pathway of wind power in China: Using the semiparametric regression model

China not only faces severe energy shortages, but also enormous pressure to reduce CO2 emissions. The objective of this article is to explore effective pathways and policies to promote wind power development in China. The interesting results include: (1) the impact of environmental regulations and green finance on wind power is nonlinear. Specifically, environmental regulations exert an inverted U-shaped impact in the central and eastern regions, and a U-shaped effect in the western region. (2) Green finance produces a U-shaped impact on wind power in the eastern region, and an N-shaped effect in the central and western regions. The impact of other economic factors shows a linear pattern. (3) Urbanization has the greatest impact on wind power in the central region, because of greater investment in technological talents and faster growth in high-tech industries. (4) Green technology innovation has made the greatest contribution to wind power in the western region, because of the rapidly growing green energy technology. (5) Financial decentralization has the smaller driving effect on wind power development in the eastern region, due to small financial investment. (6) Wind power prices have a driving effect on wind power development in the western region, but not played a driving role in the central and eastern regions. Finally, this article proposes promoting policies based on estimated results.