The upgrading of intelligent technologies has reconstructed the development of the finance and accounting industry, setting new standards for its talent. From the perspectives of teaching objectives, pedagogy, teacher construction and the integration of production and education, this paper analyzes the disconnection between talents training and technology application, and proposes a reform path guided by scientific literacy, intelligent empowerment, double-qualified teachers and collaboration between schools and enterprises. So as to build a new training mode compatible with its requirements and provide high-quality talents.

Based on practical patent examination perspectives, this study systematically analyzes paradigm shifts in foreign-related intellectual property talent cultivation during the new era through three dimensions: “insight into timing and trends, coordinated innovation and restructuring, and balancing stability with progress.” The research proposes that talent development in foreign-related intellectual property must transition from traditional “rule enforcement” models to a “strategic shaping” paradigm. This involves reconstructing a “one-core four-wings” talent competency framework centered on strategic planning capabilities, supported by rule application proficiency, technology transfer capabilities, operational management skills, and integrated innovation capacities, while establishing a “four-wheel drive” talent cultivation pathway. 

Guided by the national strategy of self-reliance and strength in science and technology, scientific and technological talents are the core strategic resource determining industrial innovation capacity, especially in key industries. From the perspective of scientific and technical information science, this paper constructs a framework of “implicit trait intelligence mining and supply situation early warning”. Using multi-source intelligence fusion, it integrates psychological assessment, resume behavior and other data, extracts three core dimensions of implicit traits, and establishes a two-dimensional talent portrait and supply early warning system. The results expand the boundaries of scientific and technical information services, provide an accurate talent decision-making tool for governments, enterprises and technology brokerage institutions, support technology transfer efficiency improvement, and solve the “talent black box” problem in key industries.

Engineering technical personnel serve as the core driving force behind technology transfer. Based on survey data from enterprises in T Park, this paper analyzes the shortage of engineering technical personnel currently impeding the technology transfer process. Structural deficiencies in the talent evaluation system, insufficient recruitment efforts, a disconnection between training systems and market demands, and the limited effectiveness of talent introduction are the primary causes leading start-up technology enterprises to face the dilemmas of “low talent-job matching” and the inability to “recruit or retain talent.” This paper proposes a series of mechanism optimization strategies across four dimensions: evaluation, cultivation, recruitment, and utilization. These include constructing a refined talent evaluation system, deepening the industry-education integration training model, promoting collaborative talent introduction through policy and service coordination, and leveraging existing talent while cultivating new talent. These strategies aim to provide practical pathways for facilitating key links in technology transfer and fully unleashing the potential of engineering technical personnel.

This study examines the challenges in cultivating high-skilled talent for the rail transit sector amid the intelligent transformation. Through questionnaire surveys targeting both enterprises and students, it reveals that rapid technological advancements are exacerbating structural mismatches in talent competencies. A systematic deviation exists between the perceptions of learners and actual market demands, while current teaching and assessment systems fail to effectively support the development of new skill sets. The study proposes establishing a dynamic curriculum system grounded in digital literacy and interdisciplinary integration, implementing educational reforms through a “course-certificate integration and scenario-empowered” training model, and building a comprehensive evaluation ecosystem oriented by competency development and process assessment.

Driven by the era of digital empowerment education, how to cultivate compound talents with both business thinking and digital literacy is the core direction of breaking through the boundaries of traditional business and building new business, and it is also the objective need for digital economy talents to reconstruct their knowledge system to adapt to social development. Starting from the characteristics of digital economy talents and the knowledge system required, this paper constructs a “four-chain” talent training model and path based on the analysis of the three-dimensional practical dilemmas of students, teachers and schools: interdisciplinary - integration of industry and education - teaching innovation - multi-party collaboration, and finally puts forward relevant policy suggestions such as building a training system with the participation of multiple subjects, strengthening professional construction, deepening the integration of industry and education, and building an information platform.

In order to unleash the functional value of technology talents in driving the development of the digital economy and industrial innovation, this study proposes innovative strategies such as drawing a roadmap for the development of technology application-oriented talents, constructing a collaborative open talent cultivation ecosystem of “government school industry enterprise”, creating a digital growth platform integrating “cutting-edge technology+career scenarios”, and establishing a dynamic evaluation framework based on the growth of technology capabilities to address the challenges brought by the digital economy in the current traditional technology application oriented talent cultivation. These strategies aim to create a new ecology for the cultivation of technology application oriented talents, guided by industry demand.

The definition of young talents in colleges and universities can be described as those within the age of 45 who are engaged in basic research, applied basic research, applied research and technological R&D, and possess outstanding innovative capabilities and potential. Their development is characterized by typical features such as domain specificity, academic innovation and social service. However, the current cultivation of young talents in colleges and universities is faced with problems such as the disconnection between the cultivation plan and their characteristics, the ineffective guarantee of their rights and interests by the service system, and the academic ecology restricting their growth. The Social Sciences Federation of colleges and universities has gathered a large number of talents, teams and disciplines. Relying on its work advantages of “connection” and “integration”, it can base itself on the development characteristics of young talents and promote the cultivation of young talents through such paths as cultivating morality to forge the soul, cultivating talents jointly to gather strength, cultivating talents through practice to strengthen the foundation, and cultivating an atmosphere to nourish the heart.

The formation of new-quality productive forces has driven the transformation of production methods from mechanization to intelligence, fundamentally changing the cultural genes of vocational education. Industrial culture emphasizes standardized operations, while digital culture focuses on innovative thinking and cross-border integration. Through comparative analysis of talent training models, knowledge transfer mechanisms, and skill evaluation systems, this study reveals that digital culture has reconstructed vocational education’s value logic: shifting from single-skill training to comprehensive competence development, from static knowledge transmission to dynamic cognitive iteration, and from closed teaching to open collaborative innovation, opening new paths for cultivating technical and skilled talents.

The construction of new engineering disciplines has put forward profound requirements for the transformation of engineering education and the reshaping of “new era” engineering talents in Chinese universities. As an important force serving national strategy and regional economy, the exploration of high-quality development paths for chemical engineering provincial universities has important theoretical and practical significance. This article focuses on the development challenges and opportunities faced by provincial universities in the chemical industry. By selecting two similar universities in the chemical industry as research objects, it deeply analyzes their successful experiences in strategic positioning, discipline ecology, talent mechanism, and other aspects. Based on this, focusing on the three directions of “people-oriented”, “reform planning”, and “discipline leadership”, a development path with universality and promotion value for similar universities is proposed, providing useful reference and action framework for chemical engineering provincial universities.

Medical college is an important source of original innovation in biomedicine, but the database analysis shows that the industrialization rate and transformation ratio of achievements are low. The results of medicine are characterized by high originality, strong practicability and interdisciplinary. From the perspective of supply side, this paper constructs the cultivation mechanism of talents for achievement transformation from two dimensions of continuing education and training of scientific and technological workers and the cultivation of technical brokers on campus, so as to explore the path to improve the efficiency of achievement transformation.

Cultivating highly skilled talents for the low-altitude economy is a necessary move for higher vocational colleges to align with the national emerging industry strategy and achieve high-quality development of their own. Currently, higher vocational colleges face several challenges in talent cultivation: insufficient adaptability of program layout to the low-altitude industrial chain, weakened technical and practical attributes of curriculum systems, inadequate integration of theory and practice in teaching activities, and discrepancies between talent cultivation quality and enterprise needs. To address these issues, higher vocational colleges can enhance talent cultivation efficiency and achieve precise supply of highly skilled talents for the low-altitude economy through the following approaches: dynamically optimizing program layout guided by industrial chain demands, constructing a low-altitude economy-featured curriculum system based on modular courses, realizing in-depth integration of theory and practice through scenario-based practice, and building a demand feedback loop supported by school-enterprise collaboration.

The advent of AIGC technology is profoundly transforming the audio-visual cultural and creative industry, giving rise to novel talent demands. However, the current education system’s lag in curriculum, competency development, and industry alignment has led to a severe mismatch between talent supply and market demand. To address this challenge, this paper analyzes the current state and root causes of this talent supply-demand issue and, based on the CDIO-CBE philosophy, constructs a talent cultivation adaptation model that encompasses objectives, curriculum, pedagogy, and evaluation. This model aims to achieve a dynamic coupling between educational supply and industrial demand, providing an innovative solution for the high-quality cultivation of talent and precise industry alignment in the AIGC era.

The integration of industry and education is the core driving force for the high-quality development of vocational education and a key support for strengthening the cultivation system for interdisciplinary talents in vocational colleges.By leveraging its efficient computing power, artificial intelligence technology demonstrates empowering characteristics of full-domain coverage, full-process integration, and multi-agent collaboration within the talent cultivation system of industry-education integration. Based on the practical needs for cultivating interdisciplinary talents, this study focuses on the empowering mechanism of AI technology on the industry-education integration of vocational colleges. By analyzing the current situation and exploring the underlying logic, the study proposes three practical paths for integration, aiming to provide valuable insights for vocational colleges to deepen their industry-education integration practices and to construct a collaborative cultivation system for interdisciplinary talents.

With the continuous development of artificial intelligence (AI), data annotation has evolved from an initial single data processing link into a core element driving the development of the digital economy, and even become an important basic support for high and new technologies. This article provides an in-depth analysis of the current data annotation industry from multiple perspectives, aiming to serve as theoretical references for talent development and the industry’s improvement.

Against the backdrop of the in-depth promotion of the Belt and Road Initiative, talents specialized in localizing minor languages have become a key force in promoting economic cooperation and cultural exchanges among countries along the Belt and Road. This article focuses on the application of digital technology in the cultivation of talents specialized in localizing minor languages. It first explains the connotation of digital technology, analyzes its application advantages in the cultivation of talents specialized in minor languages, and then proposes specific application strategies. Taking the cultivation of talents specialized in Russian localization as an example for case analysis, the aim is to provide reference for improving the quality of talent cultivation in minor languages and serving the construction of the Belt and Road Initiative.

The thriving rise of artificial intelligence (AI) technology not only expands the dimensions of knowledge presentation but also ignites students’ passion for exploring the mysteries of life, bringing new opportunities for talent cultivation in the field of biology. This study comprehensively analyzes the application status and challenges of AI in the cultivation of biological talents, and explores the direction of its future development in combination with the latest technological trends. AI technology promotes the professional development of scientific research talents, teachers, and interdisciplinary technical talents through personalized learning, intelligent resource integration, and cross-disciplinary practice. This study provides insights for promoting the deep integration of biological teaching with AI technology, fostering high-quality development of talents in the field of biology.

With the accelerated advancement of educational digital transformation, the construction of the “Three Full Education” (education by all, for all, and in all aspects) coordination mechanism in colleges and universities is of great significance. This study points out that currently, colleges and universities face problems such as insufficient coordination awareness and capabilities among education providers, low efficiency in resource integration, and imperfect coordination management mechanisms in the educational process. Through approaches like promoting the integration of ideological and political education in colleges and universities with digital technologies, strengthening coordination among internal departments, and building digital bridges for home-school co-education, the construction of the “Three Full Education”coordination mechanism can be advanced. This will enhance the quality of education, promote the high quality development of higher education, and provide a solid guarantee for cultivating talents for the new era.

Under the background of the continuous advancement of the Healthy China Strategy and the intensification of population aging, the cultivation of nursing humanities talents should take the “high-tech - industrialization”dual-drive perspective, and explore a cultivation model of “industry adaptation + humanistic literacy + technical ability”, so as to strengthen the compound nature of talent training. To this end, schools should combine the practical background and policy basis, core requirements and theoretical framework, and strengthen the industrialization orientation of industry, practice and application from the perspectives of curriculum, training mode and guarantee mechanism.

With the widespread application of generative artificial intelligence, intelligent auditing has become a cutting-edge research direction and practical focus in the field of auditing information technology. This paper explores the application value of generative artificial intelligence technology in auditing education based on its characteristics, and then conducts a theoretical analysis of the training of innovative talents empowered by generative artificial intelligence in intelligent auditing. It clarifies the reform ideas for talent training in this context and proposes corresponding practical application scenarios. The research is based on the needs of the generative artificial intelligence era, constructing a theoretical analysis framework from both internal and external factors, which not only supports the application of generative artificial intelligence in the field of auditing education but also enriches the research on reforming talent training in the context of this technology.

Against the backdrop of Guangdong’s “manufacturing as the cornerstone” strategy, this study takes Shantou's talent work during the 14th Five-Year Plan as a sample, focusing on sci-tech talents and industrial policies. It aims to provide empirical evidence for provincial sub-center cities to resolve the paradox of “industry upgrading-talent shortage paradox”.

Artificial intelligence is profoundly reshaping the talent cultivation approach in universities, necessitating a transformation of the industry-education integration and collaborative education mechanism. In the context of artificial intelligence, collaborative education should focus on real job demands, enhancing students’ technical application and practical innovation abilities through joint teaching, project training, and other methods. Universities should proactively reconstruct course resources, teaching methods, and educational scenarios, making artificial intelligence an intrinsic driving force for high-quality educational development.

Recently approved by the State Council, the Master Plan for the China (Xinjiang) Pilot Free Trade Zone injects fresh momentum into graduate education in the region, while simultaneously exposing it to unprecedented challenges. This study first examines the long-standing constraints that shadow western China—modest economic output, scarce educational resources, and a fragile university–industry–government ecosystem—before narrowing its lens to the professional Master of Applied Statistics program at Xinjiang University. Fieldwork and in-depth interviews reveal specific gaps in talent cultivation, including outdated learning objectives, limited exposure to real-world data environments, and insufficient alignment with emerging market demands. In response, and with the Free Trade Zone’s evolving needs as a compass, the paper proposes a redesigned graduate training architecture: a forward-looking competency framework, pedagogical models that embed problem-solving in authentic trade-zone contexts, a re-engineered curriculum that interweaves statistical theory with frontier applications, deeper symbiosis between academia and industry partners, and a multi-dimensional evaluation system that rewards innovation, impact, and adaptability.

With the rapid development of technology, all fields are actively promoting the application of high technology, and the medical industry is no exception. The digital construction of hospitals is another significant manifestation of enhancing the efficiency of medical work, improving service and management models, and it also puts forward new requirements for the talent cultivation of medical staff. Based on the above analysis, it can be known that the current employment situation of medical and health care talents under the background of high technology is divided into the demand of the job market, the salary and benefits of the job market, the future development status of the job market, etc. At the same time, new requirements for medical and health care talents have also been put forward in response to the new situation, with the aim of providing a theoretical basis for promoting the employment and industrialization development of medical and health care talents.

Based on personal interviews and questionnaire surveys conducted among faculty and students in the Emergency Management School of N University, this paper systematically analyzes the current status of emergency management talent cultivation in the AI era. It delves into existing challenges,and on this basis, the study proposes countermeasures for emergency management talent cultivation in the context of artificial intelligence. The results indicate that AI can significantly narrow the gap between talent demand and cultivation while enhancing quality.

Against the backdrop of rapid development of the digital economy, the digital transformation process of the cultural and tourism industry is accelerating. The demand for digital cultural and tourism talents in the tourism industry is driving the continuous updating of talent training models for tourism majors in universities. As the main body of talent cultivation in the digital cultural and tourism industry, universities should actively match the industry’s development needs for talents and explore the training mode of digital cultural and tourism talents in universities under the guidance of the new liberal arts education concept. Based on the background of new liberal arts, this article explores the importance of cultivating high-quality digital cultural and tourism talents and the quality requirements for digital cultural and tourism talents in universities under the new development pattern, and proposes a path for cultivating digital cultural and tourism talents in universities.