Engineering Talents Research Articles

Research on predicting the driving forces of digital transformation in Chinese media companies based on machine learning

Chinese media companies are facing opportunities and challenges brought about by digital transformation. Media economics takes the evaluation of the business results of media companies as the main research topic. However, overcoming the internal differences in the industry and comprehensively predicting the digital transformation of Chinese media companies from multiple dimensions has become an important issue to be understood. Based on the “TOE-I” theoretical framework, this study innovatively uses machine learning methods to predict the digital transformation of Chinese media companies and to analyze specific modes of the main driving factors affecting the digital transformation, using data from China’s A-share-listed media companies from 2010 to 2020. The study found that environmental drivers can most effectively and accurately predict the digital transformation of Chinese media companies. Therefore, under sustained and stable economic and financial policies, guiding inter-industry competition and providing balanced digital infrastructure conditions are keys to bridging internal barriers in the media industry and promoting digital transformation. In the process of transformation from traditional content to digital production, media companies should focus on policy changes, economic benefits, the decision-making role of core managers, and the training and preservation of digital technology talent.

Construction of a Sustainable Training System for Engineering and Technological Innovation Talents Based on CIPP Model in the Digital Era

With the advent of the digital era, the demand for engineering and technological talents in the market is increasing. It is crucial to design a sustainable training and evaluation system suitable for engineering and technological innovation talents. However, traditional data evaluation models have problems with unsuitable evaluation indicators and low model accuracy. Therefore, the paper selects the decision-making-oriented evaluation model to build the basic talent training evaluation indicators, and design expert questionnaires based on the Delphi method to screen indicators. Moreover, the paper also combines the adaptive genetic algorithm optimised backpropagation neural network to establish a talent cultivation evaluation model, and conducts simulation experiments using MATLAB to verify its feasibility. The results showed that the evaluation accuracy [Formula: see text] value of the research model was 0.99635, and the fitness value was 1.34, which was 0.5 higher than the unmodified model and achieved good evaluation results. At the same time, by comparing with the traditional genetic algorithm optimised model and the unimproved backpropagation model, the average evaluation accuracy of the research model increased by 66.44% and 13.59%, and the recall rate increased by 10.79% and 23.96%. The research model has improved the accuracy of evaluation, and its adaptability has also been enhanced, achieving superior evaluation results, which has important value in the cultivation of engineering and technological innovation talents.

Construction and Reflection of Software Engineering Major Based on Accreditation Board for Engineering and Technology (ABET) Certification

With the rapid development of information technology, the demand for talents in the field of software engineering is growing. In order to cultivate high-quality software engineering talents who meet the market demand, universities have continuously carried out the construction of software engineering majors. Accreditation Board for Engineering and Technology (ABET) certification, as an internationally recognized higher education quality assurance system, provides important reference and guidance for the construction of software engineering majors. Guided by student learning outcomes and core competencies, combined with the characteristics of software engineering talent cultivation, the innovation of talent cultivation mode takes industry-education integration and school-enterprise cooperation as the main development paths and explores comprehensive reform of the major in terms of professional positioning and goals, curriculum system, teaching conditions, and teachers. This comprehensive reform model has effectively promoted the development of major construction and improved the quality of talent cultivation.

Challenges Faced by Human Resources in the Age of Artificial Intelligence

This study undertakes a comprehensive review of literature to examine the challenges encountered by Human Resources (HR) professionals in integrating Artificial Intelligence (AI) into their practices. The research employs a systematic approach, analyzing key papers published within a specified timeframe to identify recurring themes related to technology adoption, talent acquisition, employee development, and ethical considerations. The critical analysis reveals a spectrum of strategies proposed in the literature to navigate the challenges associated with AI integration. Findings showcase the potential benefits of AI, such as increased efficiency, while acknowledging concerns related to biases and ethical dilemmas. The synthesis of insights provides a cohesive narrative, offering actionable recommendations for HR professionals.

Research on training evaluation of new engineering talents in China local colleges under the background of regional economy

Under the regional economic background, local colleges have a crucial role in evaluating and researching the training of new engineering talents. With the continuous development of technology and the improvement of economic strength, training new engineering talents has become an important mission for local higher education institutions. This study aims to explore the evaluation methods and strategies for training new engineering talents in local colleges within the regional economic context. It proposes an evaluation system that selects and assesses indicators from five aspects: basic conditions, teaching process, practical proficiency, cultivation level of innovation ability, and cultivation effect. The results were obtained through a combination of the analytic hierarchy process and fuzzy comprehensive evaluation model and take two majors of A college as an example to evaluate and analyze the training effect of new engineering talents. Furthermore, this article presents valuable recommendations and countermeasures to enhance the training of new engineering talents in local colleges.

A pathway towards high-quality development of the manufacturing industry: Does scientific and technological talent matter?

Against the background of the accelerated evolution of the new round of scientific and technological revolution and industrial change, scientific and technical talents, as essential innovation resources, play an important role in promoting the high-quality development of the manufacturing industry. Based on the panel data of 30 provinces in China from 2012 to 2021, the article constructs a fixed-effects model and systematically researches the impact of scientific and technological talents on the high-quality development of the manufacturing industry. The results show that scientific and technical talents play a significant role in promoting the high-quality development of the manufacturing industry, and the upgrading of the consumption structure and the accumulation of productive service industries play a mediating role. Heterogeneity analysis found that the promotion effect of scientific and technical talents is more favorable in the eastern region, medium-technology level manufacturing, and labor-intensive manufacturing. Among the three sub-dimensions of scientific and technological talents, the scale of scientific and technical talents has the most significant impact on the development of the manufacturing industry. The analysis of the spatial spillover effect finds that scientific and technological talents will have a positive spillover effect on the development of the manufacturing industry in neighboring areas. The study provides a basis for relevant departments to formulate effective strategies and policies.

Talent Incentive Policy of Chinese High-tech Enterprises from the Perspective of Industrial Informatization Intervention

Priority development of education is the fundamental guarantee for the construction of high-level talent highlands. Technological self-reliance and self-improvement are strategic support for the construction of high-level talent highlands, and talent innovation guidance is the intrinsic driving force for the construction of high-level talent highlands. The construction of a high-level talent highland in the Guangdong Hong Kong Macao Greater Bay Area requires the integration of innovative elements that connect the “education chain, technology chain, and talent chain”. It is necessary to build a three-dimensional integrated spatial architecture of “education technology talent”. We need to build a community that integrates “education highland, technology highland, and talent highland”. Accelerating the construction of high-level talent highlands in the Guangdong Hong Kong Macao Greater Bay Area requires the construction of a highland for scientific and technological innovation talents, a highland for technical and skilled talents, and a highland for scientific and technological finance talents. Based on this, this article selected 399 listed high-tech enterprises in the Greater Bay Area as the research objects, and conducted multiple regression on the relevant data of sample enterprises from the perspective of property rights heterogeneity from 2018 to 2021 to reveal which open innovation model can effectively solve specific situational problems faced by enterprises. The multi role matching mechanism can effectively improve the performance of new product development and its market competitive advantage of enterprises, as well as how the nature of property rights affects the relationship between open innovation strategies and new product development performance of enterprises. The research results show that, firstly, open innovation between enterprises is beneficial for the precise improvement of product development performance by high-level talents in enterprises. Secondly, open innovation in industry, academia, and research is beneficial for improving talent performance in enterprises, but its effect is weaker than that of open innovation between enterprises. Enterprises focus more on the open innovation model between enterprises.

Analysis of the Problems in the Cultivation and Use of Young Scientific and Technological Talents in the New Era

Analysis of the Problems in the Cultivation and Use of Young Scientific and Technological Talents in the New Era

Reform and Practice of Ideological and Political Education Model in Engineering Majors: Taking Materials Major Courses as an Example

Focusing closely on the main battlefield of ideological and political education in engineering professional courses under the background of cultivating high-quality and outstanding engineering talents in the new era, with the reform and innovation of professional course teaching as the breakthrough point, we have carried out multi element teaching reforms and innovative practices such as teaching system, teaching content, teaching mode, and teaching evaluation, integrating ideological and political education with the inherent knowledge and skills imparted in the curriculum, and combining explicit and implicit education, Promote the healthy and comprehensive development of students, cultivate outstanding engineering talents with both moral and professional abilities, and achieve significant results.

Construction of the Engineering Practice Education System in Local Application-Oriented Universities From the Perspective of New Quality Productivity

The development of new quality productive requires higher engineering education to adapt. Local universities should integrate these new demands into their engineering practice education systems, focusing on practical and innovative forms of education. Beijing Institute of Petrochemical Technology is an example, emphasizing the fusion of academic learning with industrial application and promoting interdisciplinary collaboration. Their goal is to produce exceptional engineering talent capable of driving the progression of new quality productive through diverse pathways for engineering practice education.

Research on the Enhancement of Technological Innovation Ability in Greater Bay Area By Computer Science and Technology Talent Resource Sharing

The Greater Bay Area Science and technology talent Pool system developed in this paper is a Web database system, its purpose is to realize the sharing of science and technology talent resources in the Greater Bay Area. Improve the efficiency and informatization of scientific and technological personnel management. Using JAVA based JSP, Java Servlet, Java Bean and JDBC technology, the separation of application presentation layer, application layer and data layer is realized. This system uses the "connection buffer pool" technology to improve the efficiency of database access.

Transforming China’s Tourism Industry: The Impact of Industrial Integration on Quality, Performance, and Productivity

AbstractThe global tourism industry has witnessed significant growth, with China emerging as a powerhouse in this sector. However, China’s tourism faces challenges related to service quality, market organization, technology adoption, and market share loss. To address these issues, there is a growing consensus between the government and the industry to promote high-quality tourism. This paper explores the phenomenon of industrial integration, where boundaries between sectors within the tourism industry blur, leading to the emergence of new collaborative models and novel forms of tourism. While previous research has primarily focused on the economic impacts of such integration, this study delves deeper into its effects on quality development, using empirical data at the enterprise level. The findings reveal that industrial integration has a substantial positive impact on the performance and productivity of Chinese tourism companies. Companies embracing integration strategies exhibit better financial performance, as evidenced by higher returns on equity (ROE) and total factor productivity (TFP). These integrated firms demonstrate improved financial strength, profitability, and overall operational efficiency. Unexpectedly, the study uncovers the significant role of residential tourism consumption in integration rates, highlighting the complex relationship between local demand and industry dynamics. The implications of this research extend to industry leaders and policymakers, advocating for a transformative approach to integrated tourism. It emphasizes the potential of cross-sectoral collaboration, digital technology adoption, talent development, and policy support in enhancing performance and sustainability. The study’s insights empower stakeholders to contribute actively to the future of China’s tourism industry, fostering a holistic and sustainable approach to integration that benefits all stakeholders. This research contributes to a deeper theoretical understanding of integration’s dynamics, enriching the discourse on the interconnected factors driving integrated tourism models.

Can Infrastructure Upgrading Achieve the Synergistic Effect of Pollution Reduction and Carbon Reduction? Evidence from the High-Speed Rail and “Broadband China” Strategies

Infrastructure upgrading has an important impact on environmental protection and low-carbon development. Based on the panel data of 277 prefecture-level cities in China from 2005 to 2021, we examined the impact of infrastructure upgrading on the synergistic effect of pollution reduction and carbon reduction (Pc) by using the multiple-period difference-in-differences method. The results show that infrastructure upgrading can achieve Pc. Additionally, compared with resource-based cities, peripheral cities, and central and western cities, the impact of infrastructure upgrading on Pc is more significant in non-resource-based cities, central cities, and eastern cities. Meanwhile, infrastructure upgrading can promote Pc by promoting scientific and technological talent agglomeration (Tg) and industrial agglomeration (Ig). Finally, the policy of synergy analysis shows that compared with the single pilot cities, the dual pilot cities have a more obvious effect on Pc, and becoming first high-speed rail (HSR) cities and then becoming “Broadband China” strategy (BCS) cities has a stronger effect on Pc. Therefore, to effectively alleviate the dual environmental pressures of pollution reduction and carbon reduction, emphasis should be placed on promoting the common development of transportation infrastructure and digital infrastructure.

Attracting and developing STEMM talent toward excellence and innovation.

This article provides an overview of science, technology, engineering, mathematics, and medical sciences (STEMM) talent development from first exposure to a STEMM domain to achieving eminence and innovation. To this end, a resource-oriented model of STEMM talent development is proposed as a framework. It includes a three-stage phase model based on Bloom (1985), with the main focus on interest development in the first stage, skill acquisition toward expertise and excellence in the second stage, and style formation toward eminence and innovation in the final stage. A literature review shows that from an educational perspective,each phase is mainlycharacterized by thefocus that Bloom postulated. However, it is important that all three stages (i.e., interest development, skill acquisition, andstyle formation) occur in a stage-typical manner. To explain how these primary objectives of STEMM development can be supported through STEMM talent education, Ziegler and Stoeger's (2011) educational and learning capital framework is used in the proposed resource-based model. A literature review shows that consistent provisioning of the resources specified in the model is necessary for individuals to complete a learning pathway to STEMM eminence and innovation.

Theory and practice of BIM skills of construction management professional based on conceive–design–implement–operate engineering teaching mode

AbstractBuilding information modeling (BIM), as the core technology for digital transformation and development of the construction industry, is in vigorous development. This study analyzes the current situation of teaching BIM to construction management professionals in universities. Based on the CDIO (conceive–design–implement–operate) engineering education concept, a new teaching system of BIM technology for construction management professionals is proposed. It is composed of a diversified teaching mode of implanting BIM technology in professional courses, establishing a school–enterprise cooperation platform, expert linkage, BIM team construction, skill competition, and transformation of scientific research achievements, and provides a reference for the reform of practical teaching. It is proved that this education mode improves students' learning enthusiasm, engineering practice ability, solidarity and ability to solve practical engineering problems, cultivates outstanding talents in BIM technology, drives students' employment, and provides innovative talents in BIM technology needed for the development of the construction industry.

Exploration of the Integrated Training Model for Information Technology Teachers

With the acceleration of the social information process, information awareness and information skills have become the basic qualities of every citizen. The establishment of the training mechanism for scientific and technological innovation talents from the beginning of higher education is insufficient to meet the needs of the development of the times. It is imperative to improve the training of information technology innovation talents and explore a new training model. This paper describes the general situation of the development of education in the field of information technology from a domestic and international perspective. It then analyzes the existing problems, explores new exploration models and implementation suggestions, and puts forward prospects at the end of the paper.

The spatial and temporal situation of China's digital technology innovation and its influencing factors.

Digital technology innovation is the core driving force for the high-quality development of the digital economy, and in-depth exploration of the regional distribution pattern and formation mechanism of digital technology innovation in China is conducive to the rational layout and coordinated development of the inter-provincial digital economy. Based on the Reference Relationship Table of the Classification of Core Industries of Digital Economy and the International Patent Classification (2023), the patent authorization data of digital technology from 2012 to 2022 were obtained, and the spatiotemporal situation of China's digital technology innovation was analyzed by using ArcGIS software, Dagum's Gini coefficient, and Moran's I index, and the spatial Dubin panel model was used to explore the influencing factors of digital technology innovation. It is found that: (1) the scale and vitality of China's digital technology innovation have increased significantly, and there are obvious spatial differentiation characteristics, and the innovation level of "eastern coastal-central and western interior" is decreasing, forming a cluster distribution pattern in the Yangtze River Delta region, Beijing, Guangdong, and other places, and the degree of agglomeration is decreasing. (2) The overall regional differences in China's digital technology innovation are large, the differences between the East and the West dominate the interregional differences, and the net differences between regions are the main factors leading to regional differences. (3) There is a significant positive spatial correlation between the scale and vitality of digital technology innovation, which has a significant spatial spillover effect. (4) The results confirm that the level of economic development, digital access, financial scientific and technological support, technology market development level, and R&D intensity have a significant positive impact on the scale and vitality of digital technology innovation; The investment in scientific and technological talents has a significant positive impact on the scale of digital technology innovation, but has no significant impact on the vitality of digital technology innovation.

The Role of Education in Economic Advancement: A Case Study of Silicon Valley

Education is an important ingredient in the development of the human capital of any given country since it directly influences the quality of output of the workforce. With an educated workforce, efficiency is enhanced, as well as the level of productivity, due to the capacity of individual workers to be innovative. This paper seeks to analyze the impact of education in a country by analyzing the impact that education has on the level of economic growth, as well as its influence on a workforce’s capacity to absorb new technologies. Additionally, the paper also discusses how education is a crucial asset in reducing poverty and inequality in society by increasing sustainable household incomes as well as bringing about positive externalities. The paper shows from the case of Silicon Valley in the United States, education plays a great role in economic advancement of a nation or region. The paper shows that the Silicon Valley largely benefits from the presence of top higher education institutions such as Stanford University, which train a large number of technological innovation talents.

Research and innovation of engineering simulation practice teaching platform based on the civil engineering talent training

AbstractThe traditional experimental teaching and practical teaching cannot meet the requirements of experimental practice teaching under the new situation, and virtual simulation technology has made great progress in teaching. Based on this, a new teaching mode—engineering simulation practices teaching platform—is proposed. In this regard, the methodology research is carried out, and the implementation scheme is proposed. The teaching design, implementation, and improvement have received good application results, which effectively improve the training level of applied talents for civil engineering majors in colleges and universities.

Exploration and Reflection on the Construction of Intelligent Manufacturing Professional Clusters for Industrial Internet

In the trend of the transformation of the manufacturing industry towards intelligence promoted by industrial internet technology, the traditional curriculum system related to the manufacturing industry cannot meet the requirements of society and industry for talent knowledge structure and skill training, which puts forward new requirements for undergraduate major construction and development. This article relies on the advantages of the industrial internet location in the Yangtze River Delta region, combined with the needs of regional industrial development, and the problems in the current process of intelligent manufacturing professional construction. Taking the construction of the intelligent manufacturing major cluster at the Nanjing University of Science and Technology ZiJin College as an example, in response to the needs of the development of the intelligent manufacturing industry and the problems in the current process of cultivating intelligent manufacturing talents, this article focuses on the construction of the teaching staff, revision of the curriculum system, construction of scientific research and virtual simulation teaching platforms, multi-disciplinary and multi-angle collaborative education models, providing reference for the reform of applied engineering and technology talent cultivation models in the manufacturing industry in the era of industrial internet.