In 2024, China’s TVET system marked a pivotal year under its national digital strategy, transitioning from a focus on connectivity, content, and collaboration (“3C”) to integration, intelligence, and internationalization (“3I”). This shift underscores the government’s commitment to aligning TVET with Industry 4.0 and addressing global challenges like skills gaps and technological disruption. A recent synthesis by Han Xibin, Li Moxue, and Guo Wenxin—published inChina Vocational and Technical Education—provides a comprehensive overview of China’s advancements in TVET digitization, offering critical insights for international stakeholders.
About the Corresponding Author:
Han Xibinis a Professor at the Institute of Education, Tsinghua University, China.
Scope
This study examines digital transformation in TVET through analysis of 2024 academic literature in China. Key research themes identified through keyword frequency analysis include:
Technical Applications:
Artificial Intelligence
Big Data
Virtual Simulation Technology (VR, AR, MR)
Metaverse
Digital Implementation Focus:
Digital Economy Integration
Industry-Education Integration
Teaching Innovation
Rural Revitalization
Research Themes
After filtering for relevance and originality, eight major research themes were identified:
Digital Literacy
Digital Curriculum and Teaching
Digital and Intelligent Training
Digital Assessment
Digital Industry-Education Integration
Digital Management and Services
Digital Infrastructure Development
Digital Systems and Mechanisms
Key Research Progress
Digital Literacy and Competencies
Research reveals increasing emphasis on developing both student and teacher digital competencies:
Students require enhanced capabilities in efficient information searching, precise evaluation, and ethical utilization of digital resources
Teachers need improved digital awareness, technical skills, and pedagogical innovation abilities
Leadership: Limited research on digital governance, though studies stress the need for strategic data-driven decision-making at institutional levels.
Digital Curriculum and Teaching
Studies show significant developments in:
Integration of digital technologies with industry requirements
Development of interactive digital textbooks with learning analytics capabilities
Implementation of cloud-based and hybrid teaching models
Creation of immersive learning environments using VR/AR technologies
Digital and Intelligent Training
While comprising only 5.43% of research literature, key developments include:
Module-based smart training systems
Virtual reality-enhanced practical training
Digital twin technologies for simulating workplace environments
AI-supported personalized learning pathways
Data-Driven Evaluation
Research highlights:
Multi-dimensional evaluation systems incorporating AI and blockchain
Value-added assessment approaches focusing on skill development
AI-Enhanced tools for competency tracking and VR/AR for practical skill assessments.
Enhanced data security and privacy protection measures
Practical Implementation Progress
AI Large Models in TVET
Several institutions have pioneered AI applications:
Development of TVET-specific large language models
Integration of AI-powered digital humans for interactive teaching
Implementation of AI-assisted learning analytics
Creation of scenario-based training using digital twins
Digital Infrastructure Development
Key achievements include:
Nationwide coverage of high-speed networks in TVET institutions
Construction of smart classrooms and virtual training facilities
Implementation of integrated digital management platforms
Development of data sharing mechanisms between institutions
Data-Driven Governance
Notable progress in:
Establishment of standardized data governance frameworks
Implementation of cross-institutional data sharing platforms
Development of data-driven decision-making systems
Creation of comprehensive student digital portfolios
Future Research Directions
Gaps in Research: Insufficient exploration of rural-urban digital divides, AI’s impact on equity, and leadership capacity. Policy Recommendations:
Invest in rural digital infrastructure and teacher training.
Foster international collaboration on AI ethics, credentialing standards, and cross-border skill recognition.
Prioritize longitudinal studies on technology’s long-term effects on TVET outcomes.
Conclusion
China’s 2024 achievements highlight the potential of technology to democratize quality TVET. By focusing on learner-centricity, industry alignment, and ethical AI adoption, China’s model offers actionable lessons for global TVET stakeholders. As the world navigates digital disruption, collaborative research and knowledge exchange will be critical to building inclusive, resilient skill systems.
This newsletter aligns with SDG 4 (Quality Education) and SDG 8 (Decent Work and Economic Growth), supporting the vision of the UNESCO Strategy for TVET (2022–2029): Transforming TVET for successful and just transitions.
Feedback or collaboration ideas? Contact tvetsz@szpu.edu.cn
In 2024, China’s TVET system marked a pivotal year under its national digital strategy, transitioning from a focus on connectivity, content, and collaboration (“3C”) to integration, intelligence, and internationalization (“3I”). This shift underscores the government’s commitment to aligning TVET with Industry 4.0 and addressing global challenges like skills gaps and technological disruption. A recent synthesis by Han Xibin, Li Moxue, and Guo Wenxin—published inChina Vocational and Technical Education—provides a comprehensive overview of China’s advancements in TVET digitization, offering critical insights for international stakeholders.
About the Corresponding Author:
Han Xibinis a Professor at the Institute of Education, Tsinghua University, China.
Scope
This study examines digital transformation in TVET through analysis of 2024 academic literature in China. Key research themes identified through keyword frequency analysis include:
Technical Applications:
Artificial Intelligence
Big Data
Virtual Simulation Technology (VR, AR, MR)
Metaverse
Digital Implementation Focus:
Digital Economy Integration
Industry-Education Integration
Teaching Innovation
Rural Revitalization
Research Themes
After filtering for relevance and originality, eight major research themes were identified:
Digital Literacy
Digital Curriculum and Teaching
Digital and Intelligent Training
Digital Assessment
Digital Industry-Education Integration
Digital Management and Services
Digital Infrastructure Development
Digital Systems and Mechanisms
Key Research Progress
Digital Literacy and Competencies
Research reveals increasing emphasis on developing both student and teacher digital competencies:
Students require enhanced capabilities in efficient information searching, precise evaluation, and ethical utilization of digital resources
Teachers need improved digital awareness, technical skills, and pedagogical innovation abilities
Leadership: Limited research on digital governance, though studies stress the need for strategic data-driven decision-making at institutional levels.
Digital Curriculum and Teaching
Studies show significant developments in:
Integration of digital technologies with industry requirements
Development of interactive digital textbooks with learning analytics capabilities
Implementation of cloud-based and hybrid teaching models
Creation of immersive learning environments using VR/AR technologies
Digital and Intelligent Training
While comprising only 5.43% of research literature, key developments include:
Module-based smart training systems
Virtual reality-enhanced practical training
Digital twin technologies for simulating workplace environments
AI-supported personalized learning pathways
Data-Driven Evaluation
Research highlights:
Multi-dimensional evaluation systems incorporating AI and blockchain
Value-added assessment approaches focusing on skill development
AI-Enhanced tools for competency tracking and VR/AR for practical skill assessments.
Enhanced data security and privacy protection measures
Practical Implementation Progress
AI Large Models in TVET
Several institutions have pioneered AI applications:
Development of TVET-specific large language models
Integration of AI-powered digital humans for interactive teaching
Implementation of AI-assisted learning analytics
Creation of scenario-based training using digital twins
Digital Infrastructure Development
Key achievements include:
Nationwide coverage of high-speed networks in TVET institutions
Construction of smart classrooms and virtual training facilities
Implementation of integrated digital management platforms
Development of data sharing mechanisms between institutions
Data-Driven Governance
Notable progress in:
Establishment of standardized data governance frameworks
Implementation of cross-institutional data sharing platforms
Development of data-driven decision-making systems
Creation of comprehensive student digital portfolios
Future Research Directions
Gaps in Research: Insufficient exploration of rural-urban digital divides, AI’s impact on equity, and leadership capacity. Policy Recommendations:
Invest in rural digital infrastructure and teacher training.
Foster international collaboration on AI ethics, credentialing standards, and cross-border skill recognition.
Prioritize longitudinal studies on technology’s long-term effects on TVET outcomes.
Conclusion
China’s 2024 achievements highlight the potential of technology to democratize quality TVET. By focusing on learner-centricity, industry alignment, and ethical AI adoption, China’s model offers actionable lessons for global TVET stakeholders. As the world navigates digital disruption, collaborative research and knowledge exchange will be critical to building inclusive, resilient skill systems.
This newsletter aligns with SDG 4 (Quality Education) and SDG 8 (Decent Work and Economic Growth), supporting the vision of the UNESCO Strategy for TVET (2022–2029): Transforming TVET for successful and just transitions.
Feedback or collaboration ideas? Contact tvetsz@szpu.edu.cn
In 2024, China’s TVET system marked a pivotal year under its national digital strategy, transitioning from a focus on connectivity, content, and collaboration (“3C”) to integration, intelligence, and internationalization (“3I”). This shift underscores the government’s commitment to aligning TVET with Industry 4.0 and addressing global challenges like skills gaps and technological disruption. A recent synthesis by Han Xibin, Li Moxue, and Guo Wenxin—published inChina Vocational and Technical Education—provides a comprehensive overview of China’s advancements in TVET digitization, offering critical insights for international stakeholders.
About the Corresponding Author:
Han Xibinis a Professor at the Institute of Education, Tsinghua University, China.
Scope
This study examines digital transformation in TVET through analysis of 2024 academic literature in China. Key research themes identified through keyword frequency analysis include:
Technical Applications:
Artificial Intelligence
Big Data
Virtual Simulation Technology (VR, AR, MR)
Metaverse
Digital Implementation Focus:
Digital Economy Integration
Industry-Education Integration
Teaching Innovation
Rural Revitalization
Research Themes
After filtering for relevance and originality, eight major research themes were identified:
Digital Literacy
Digital Curriculum and Teaching
Digital and Intelligent Training
Digital Assessment
Digital Industry-Education Integration
Digital Management and Services
Digital Infrastructure Development
Digital Systems and Mechanisms
Key Research Progress
Digital Literacy and Competencies
Research reveals increasing emphasis on developing both student and teacher digital competencies:
Students require enhanced capabilities in efficient information searching, precise evaluation, and ethical utilization of digital resources
Teachers need improved digital awareness, technical skills, and pedagogical innovation abilities
Leadership: Limited research on digital governance, though studies stress the need for strategic data-driven decision-making at institutional levels.
Digital Curriculum and Teaching
Studies show significant developments in:
Integration of digital technologies with industry requirements
Development of interactive digital textbooks with learning analytics capabilities
Implementation of cloud-based and hybrid teaching models
Creation of immersive learning environments using VR/AR technologies
Digital and Intelligent Training
While comprising only 5.43% of research literature, key developments include:
Module-based smart training systems
Virtual reality-enhanced practical training
Digital twin technologies for simulating workplace environments
AI-supported personalized learning pathways
Data-Driven Evaluation
Research highlights:
Multi-dimensional evaluation systems incorporating AI and blockchain
Value-added assessment approaches focusing on skill development
AI-Enhanced tools for competency tracking and VR/AR for practical skill assessments.
Enhanced data security and privacy protection measures
Practical Implementation Progress
AI Large Models in TVET
Several institutions have pioneered AI applications:
Development of TVET-specific large language models
Integration of AI-powered digital humans for interactive teaching
Implementation of AI-assisted learning analytics
Creation of scenario-based training using digital twins
Digital Infrastructure Development
Key achievements include:
Nationwide coverage of high-speed networks in TVET institutions
Construction of smart classrooms and virtual training facilities
Implementation of integrated digital management platforms
Development of data sharing mechanisms between institutions
Data-Driven Governance
Notable progress in:
Establishment of standardized data governance frameworks
Implementation of cross-institutional data sharing platforms
Development of data-driven decision-making systems
Creation of comprehensive student digital portfolios
Future Research Directions
Gaps in Research: Insufficient exploration of rural-urban digital divides, AI’s impact on equity, and leadership capacity. Policy Recommendations:
Invest in rural digital infrastructure and teacher training.
Foster international collaboration on AI ethics, credentialing standards, and cross-border skill recognition.
Prioritize longitudinal studies on technology’s long-term effects on TVET outcomes.
Conclusion
China’s 2024 achievements highlight the potential of technology to democratize quality TVET. By focusing on learner-centricity, industry alignment, and ethical AI adoption, China’s model offers actionable lessons for global TVET stakeholders. As the world navigates digital disruption, collaborative research and knowledge exchange will be critical to building inclusive, resilient skill systems.
This newsletter aligns with SDG 4 (Quality Education) and SDG 8 (Decent Work and Economic Growth), supporting the vision of the UNESCO Strategy for TVET (2022–2029): Transforming TVET for successful and just transitions.
Feedback or collaboration ideas? Contact tvetsz@szpu.edu.cn
In 2024, China’s TVET system marked a pivotal year under its national digital strategy, transitioning from a focus on connectivity, content, and collaboration (“3C”) to integration, intelligence, and internationalization (“3I”). This shift underscores the government’s commitment to aligning TVET with Industry 4.0 and addressing global challenges like skills gaps and technological disruption. A recent synthesis by Han Xibin, Li Moxue, and Guo Wenxin—published inChina Vocational and Technical Education—provides a comprehensive overview of China’s advancements in TVET digitization, offering critical insights for international stakeholders.
About the Corresponding Author:
Han Xibinis a Professor at the Institute of Education, Tsinghua University, China.
Scope
This study examines digital transformation in TVET through analysis of 2024 academic literature in China. Key research themes identified through keyword frequency analysis include:
Technical Applications:
Artificial Intelligence
Big Data
Virtual Simulation Technology (VR, AR, MR)
Metaverse
Digital Implementation Focus:
Digital Economy Integration
Industry-Education Integration
Teaching Innovation
Rural Revitalization
Research Themes
After filtering for relevance and originality, eight major research themes were identified:
Digital Literacy
Digital Curriculum and Teaching
Digital and Intelligent Training
Digital Assessment
Digital Industry-Education Integration
Digital Management and Services
Digital Infrastructure Development
Digital Systems and Mechanisms
Key Research Progress
Digital Literacy and Competencies
Research reveals increasing emphasis on developing both student and teacher digital competencies:
Students require enhanced capabilities in efficient information searching, precise evaluation, and ethical utilization of digital resources
Teachers need improved digital awareness, technical skills, and pedagogical innovation abilities
Leadership: Limited research on digital governance, though studies stress the need for strategic data-driven decision-making at institutional levels.
Digital Curriculum and Teaching
Studies show significant developments in:
Integration of digital technologies with industry requirements
Development of interactive digital textbooks with learning analytics capabilities
Implementation of cloud-based and hybrid teaching models
Creation of immersive learning environments using VR/AR technologies
Digital and Intelligent Training
While comprising only 5.43% of research literature, key developments include:
Module-based smart training systems
Virtual reality-enhanced practical training
Digital twin technologies for simulating workplace environments
AI-supported personalized learning pathways
Data-Driven Evaluation
Research highlights:
Multi-dimensional evaluation systems incorporating AI and blockchain
Value-added assessment approaches focusing on skill development
AI-Enhanced tools for competency tracking and VR/AR for practical skill assessments.
Enhanced data security and privacy protection measures
Practical Implementation Progress
AI Large Models in TVET
Several institutions have pioneered AI applications:
Development of TVET-specific large language models
Integration of AI-powered digital humans for interactive teaching
Implementation of AI-assisted learning analytics
Creation of scenario-based training using digital twins
Digital Infrastructure Development
Key achievements include:
Nationwide coverage of high-speed networks in TVET institutions
Construction of smart classrooms and virtual training facilities
Implementation of integrated digital management platforms
Development of data sharing mechanisms between institutions
Data-Driven Governance
Notable progress in:
Establishment of standardized data governance frameworks
Implementation of cross-institutional data sharing platforms
Development of data-driven decision-making systems
Creation of comprehensive student digital portfolios
Future Research Directions
Gaps in Research: Insufficient exploration of rural-urban digital divides, AI’s impact on equity, and leadership capacity. Policy Recommendations:
Invest in rural digital infrastructure and teacher training.
Foster international collaboration on AI ethics, credentialing standards, and cross-border skill recognition.
Prioritize longitudinal studies on technology’s long-term effects on TVET outcomes.
Conclusion
China’s 2024 achievements highlight the potential of technology to democratize quality TVET. By focusing on learner-centricity, industry alignment, and ethical AI adoption, China’s model offers actionable lessons for global TVET stakeholders. As the world navigates digital disruption, collaborative research and knowledge exchange will be critical to building inclusive, resilient skill systems.
This newsletter aligns with SDG 4 (Quality Education) and SDG 8 (Decent Work and Economic Growth), supporting the vision of the UNESCO Strategy for TVET (2022–2029): Transforming TVET for successful and just transitions.
Feedback or collaboration ideas? Contact tvetsz@szpu.edu.cn
In 2024, China’s TVET system marked a pivotal year under its national digital strategy, transitioning from a focus on connectivity, content, and collaboration (“3C”) to integration, intelligence, and internationalization (“3I”). This shift underscores the government’s commitment to aligning TVET with Industry 4.0 and addressing global challenges like skills gaps and technological disruption. A recent synthesis by Han Xibin, Li Moxue, and Guo Wenxin—published inChina Vocational and Technical Education—provides a comprehensive overview of China’s advancements in TVET digitization, offering critical insights for international stakeholders.
About the Corresponding Author:
Han Xibinis a Professor at the Institute of Education, Tsinghua University, China.
Scope
This study examines digital transformation in TVET through analysis of 2024 academic literature in China. Key research themes identified through keyword frequency analysis include:
Technical Applications:
Artificial Intelligence
Big Data
Virtual Simulation Technology (VR, AR, MR)
Metaverse
Digital Implementation Focus:
Digital Economy Integration
Industry-Education Integration
Teaching Innovation
Rural Revitalization
Research Themes
After filtering for relevance and originality, eight major research themes were identified:
Digital Literacy
Digital Curriculum and Teaching
Digital and Intelligent Training
Digital Assessment
Digital Industry-Education Integration
Digital Management and Services
Digital Infrastructure Development
Digital Systems and Mechanisms
Key Research Progress
Digital Literacy and Competencies
Research reveals increasing emphasis on developing both student and teacher digital competencies:
Students require enhanced capabilities in efficient information searching, precise evaluation, and ethical utilization of digital resources
Teachers need improved digital awareness, technical skills, and pedagogical innovation abilities
Leadership: Limited research on digital governance, though studies stress the need for strategic data-driven decision-making at institutional levels.
Digital Curriculum and Teaching
Studies show significant developments in:
Integration of digital technologies with industry requirements
Development of interactive digital textbooks with learning analytics capabilities
Implementation of cloud-based and hybrid teaching models
Creation of immersive learning environments using VR/AR technologies
Digital and Intelligent Training
While comprising only 5.43% of research literature, key developments include:
Module-based smart training systems
Virtual reality-enhanced practical training
Digital twin technologies for simulating workplace environments
AI-supported personalized learning pathways
Data-Driven Evaluation
Research highlights:
Multi-dimensional evaluation systems incorporating AI and blockchain
Value-added assessment approaches focusing on skill development
AI-Enhanced tools for competency tracking and VR/AR for practical skill assessments.
Enhanced data security and privacy protection measures
Practical Implementation Progress
AI Large Models in TVET
Several institutions have pioneered AI applications:
Development of TVET-specific large language models
Integration of AI-powered digital humans for interactive teaching
Implementation of AI-assisted learning analytics
Creation of scenario-based training using digital twins
Digital Infrastructure Development
Key achievements include:
Nationwide coverage of high-speed networks in TVET institutions
Construction of smart classrooms and virtual training facilities
Implementation of integrated digital management platforms
Development of data sharing mechanisms between institutions
Data-Driven Governance
Notable progress in:
Establishment of standardized data governance frameworks
Implementation of cross-institutional data sharing platforms
Development of data-driven decision-making systems
Creation of comprehensive student digital portfolios
Future Research Directions
Gaps in Research: Insufficient exploration of rural-urban digital divides, AI’s impact on equity, and leadership capacity. Policy Recommendations:
Invest in rural digital infrastructure and teacher training.
Foster international collaboration on AI ethics, credentialing standards, and cross-border skill recognition.
Prioritize longitudinal studies on technology’s long-term effects on TVET outcomes.
Conclusion
China’s 2024 achievements highlight the potential of technology to democratize quality TVET. By focusing on learner-centricity, industry alignment, and ethical AI adoption, China’s model offers actionable lessons for global TVET stakeholders. As the world navigates digital disruption, collaborative research and knowledge exchange will be critical to building inclusive, resilient skill systems.
This newsletter aligns with SDG 4 (Quality Education) and SDG 8 (Decent Work and Economic Growth), supporting the vision of the UNESCO Strategy for TVET (2022–2029): Transforming TVET for successful and just transitions.
Feedback or collaboration ideas? Contact tvetsz@szpu.edu.cn
In 2024, China’s TVET system marked a pivotal year under its national digital strategy, transitioning from a focus on connectivity, content, and collaboration (“3C”) to integration, intelligence, and internationalization (“3I”). This shift underscores the government’s commitment to aligning TVET with Industry 4.0 and addressing global challenges like skills gaps and technological disruption. A recent synthesis by Han Xibin, Li Moxue, and Guo Wenxin—published inChina Vocational and Technical Education—provides a comprehensive overview of China’s advancements in TVET digitization, offering critical insights for international stakeholders.
About the Corresponding Author:
Han Xibinis a Professor at the Institute of Education, Tsinghua University, China.
Scope
This study examines digital transformation in TVET through analysis of 2024 academic literature in China. Key research themes identified through keyword frequency analysis include:
Technical Applications:
Artificial Intelligence
Big Data
Virtual Simulation Technology (VR, AR, MR)
Metaverse
Digital Implementation Focus:
Digital Economy Integration
Industry-Education Integration
Teaching Innovation
Rural Revitalization
Research Themes
After filtering for relevance and originality, eight major research themes were identified:
Digital Literacy
Digital Curriculum and Teaching
Digital and Intelligent Training
Digital Assessment
Digital Industry-Education Integration
Digital Management and Services
Digital Infrastructure Development
Digital Systems and Mechanisms
Key Research Progress
Digital Literacy and Competencies
Research reveals increasing emphasis on developing both student and teacher digital competencies:
Students require enhanced capabilities in efficient information searching, precise evaluation, and ethical utilization of digital resources
Teachers need improved digital awareness, technical skills, and pedagogical innovation abilities
Leadership: Limited research on digital governance, though studies stress the need for strategic data-driven decision-making at institutional levels.
Digital Curriculum and Teaching
Studies show significant developments in:
Integration of digital technologies with industry requirements
Development of interactive digital textbooks with learning analytics capabilities
Implementation of cloud-based and hybrid teaching models
Creation of immersive learning environments using VR/AR technologies
Digital and Intelligent Training
While comprising only 5.43% of research literature, key developments include:
Module-based smart training systems
Virtual reality-enhanced practical training
Digital twin technologies for simulating workplace environments
AI-supported personalized learning pathways
Data-Driven Evaluation
Research highlights:
Multi-dimensional evaluation systems incorporating AI and blockchain
Value-added assessment approaches focusing on skill development
AI-Enhanced tools for competency tracking and VR/AR for practical skill assessments.
Enhanced data security and privacy protection measures
Practical Implementation Progress
AI Large Models in TVET
Several institutions have pioneered AI applications:
Development of TVET-specific large language models
Integration of AI-powered digital humans for interactive teaching
Implementation of AI-assisted learning analytics
Creation of scenario-based training using digital twins
Digital Infrastructure Development
Key achievements include:
Nationwide coverage of high-speed networks in TVET institutions
Construction of smart classrooms and virtual training facilities
Implementation of integrated digital management platforms
Development of data sharing mechanisms between institutions
Data-Driven Governance
Notable progress in:
Establishment of standardized data governance frameworks
Implementation of cross-institutional data sharing platforms
Development of data-driven decision-making systems
Creation of comprehensive student digital portfolios
Future Research Directions
Gaps in Research: Insufficient exploration of rural-urban digital divides, AI’s impact on equity, and leadership capacity. Policy Recommendations:
Invest in rural digital infrastructure and teacher training.
Foster international collaboration on AI ethics, credentialing standards, and cross-border skill recognition.
Prioritize longitudinal studies on technology’s long-term effects on TVET outcomes.
Conclusion
China’s 2024 achievements highlight the potential of technology to democratize quality TVET. By focusing on learner-centricity, industry alignment, and ethical AI adoption, China’s model offers actionable lessons for global TVET stakeholders. As the world navigates digital disruption, collaborative research and knowledge exchange will be critical to building inclusive, resilient skill systems.
This newsletter aligns with SDG 4 (Quality Education) and SDG 8 (Decent Work and Economic Growth), supporting the vision of the UNESCO Strategy for TVET (2022–2029): Transforming TVET for successful and just transitions.
Feedback or collaboration ideas? Contact tvetsz@szpu.edu.cn
In 2024, China’s TVET system marked a pivotal year under its national digital strategy, transitioning from a focus on connectivity, content, and collaboration (“3C”) to integration, intelligence, and internationalization (“3I”). This shift underscores the government’s commitment to aligning TVET with Industry 4.0 and addressing global challenges like skills gaps and technological disruption. A recent synthesis by Han Xibin, Li Moxue, and Guo Wenxin—published inChina Vocational and Technical Education—provides a comprehensive overview of China’s advancements in TVET digitization, offering critical insights for international stakeholders.
About the Corresponding Author:
Han Xibinis a Professor at the Institute of Education, Tsinghua University, China.
Scope
This study examines digital transformation in TVET through analysis of 2024 academic literature in China. Key research themes identified through keyword frequency analysis include:
Technical Applications:
Artificial Intelligence
Big Data
Virtual Simulation Technology (VR, AR, MR)
Metaverse
Digital Implementation Focus:
Digital Economy Integration
Industry-Education Integration
Teaching Innovation
Rural Revitalization
Research Themes
After filtering for relevance and originality, eight major research themes were identified:
Digital Literacy
Digital Curriculum and Teaching
Digital and Intelligent Training
Digital Assessment
Digital Industry-Education Integration
Digital Management and Services
Digital Infrastructure Development
Digital Systems and Mechanisms
Key Research Progress
Digital Literacy and Competencies
Research reveals increasing emphasis on developing both student and teacher digital competencies:
Students require enhanced capabilities in efficient information searching, precise evaluation, and ethical utilization of digital resources
Teachers need improved digital awareness, technical skills, and pedagogical innovation abilities
Leadership: Limited research on digital governance, though studies stress the need for strategic data-driven decision-making at institutional levels.
Digital Curriculum and Teaching
Studies show significant developments in:
Integration of digital technologies with industry requirements
Development of interactive digital textbooks with learning analytics capabilities
Implementation of cloud-based and hybrid teaching models
Creation of immersive learning environments using VR/AR technologies
Digital and Intelligent Training
While comprising only 5.43% of research literature, key developments include:
Module-based smart training systems
Virtual reality-enhanced practical training
Digital twin technologies for simulating workplace environments
AI-supported personalized learning pathways
Data-Driven Evaluation
Research highlights:
Multi-dimensional evaluation systems incorporating AI and blockchain
Value-added assessment approaches focusing on skill development
AI-Enhanced tools for competency tracking and VR/AR for practical skill assessments.
Enhanced data security and privacy protection measures
Practical Implementation Progress
AI Large Models in TVET
Several institutions have pioneered AI applications:
Development of TVET-specific large language models
Integration of AI-powered digital humans for interactive teaching
Implementation of AI-assisted learning analytics
Creation of scenario-based training using digital twins
Digital Infrastructure Development
Key achievements include:
Nationwide coverage of high-speed networks in TVET institutions
Construction of smart classrooms and virtual training facilities
Implementation of integrated digital management platforms
Development of data sharing mechanisms between institutions
Data-Driven Governance
Notable progress in:
Establishment of standardized data governance frameworks
Implementation of cross-institutional data sharing platforms
Development of data-driven decision-making systems
Creation of comprehensive student digital portfolios
Future Research Directions
Gaps in Research: Insufficient exploration of rural-urban digital divides, AI’s impact on equity, and leadership capacity. Policy Recommendations:
Invest in rural digital infrastructure and teacher training.
Foster international collaboration on AI ethics, credentialing standards, and cross-border skill recognition.
Prioritize longitudinal studies on technology’s long-term effects on TVET outcomes.
Conclusion
China’s 2024 achievements highlight the potential of technology to democratize quality TVET. By focusing on learner-centricity, industry alignment, and ethical AI adoption, China’s model offers actionable lessons for global TVET stakeholders. As the world navigates digital disruption, collaborative research and knowledge exchange will be critical to building inclusive, resilient skill systems.
This newsletter aligns with SDG 4 (Quality Education) and SDG 8 (Decent Work and Economic Growth), supporting the vision of the UNESCO Strategy for TVET (2022–2029): Transforming TVET for successful and just transitions.
Feedback or collaboration ideas? Contact tvetsz@szpu.edu.cn
In 2024, China’s TVET system marked a pivotal year under its national digital strategy, transitioning from a focus on connectivity, content, and collaboration (“3C”) to integration, intelligence, and internationalization (“3I”). This shift underscores the government’s commitment to aligning TVET with Industry 4.0 and addressing global challenges like skills gaps and technological disruption. A recent synthesis by Han Xibin, Li Moxue, and Guo Wenxin—published inChina Vocational and Technical Education—provides a comprehensive overview of China’s advancements in TVET digitization, offering critical insights for international stakeholders.
About the Corresponding Author:
Han Xibinis a Professor at the Institute of Education, Tsinghua University, China.
Scope
This study examines digital transformation in TVET through analysis of 2024 academic literature in China. Key research themes identified through keyword frequency analysis include:
Technical Applications:
Artificial Intelligence
Big Data
Virtual Simulation Technology (VR, AR, MR)
Metaverse
Digital Implementation Focus:
Digital Economy Integration
Industry-Education Integration
Teaching Innovation
Rural Revitalization
Research Themes
After filtering for relevance and originality, eight major research themes were identified:
Digital Literacy
Digital Curriculum and Teaching
Digital and Intelligent Training
Digital Assessment
Digital Industry-Education Integration
Digital Management and Services
Digital Infrastructure Development
Digital Systems and Mechanisms
Key Research Progress
Digital Literacy and Competencies
Research reveals increasing emphasis on developing both student and teacher digital competencies:
Students require enhanced capabilities in efficient information searching, precise evaluation, and ethical utilization of digital resources
Teachers need improved digital awareness, technical skills, and pedagogical innovation abilities
Leadership: Limited research on digital governance, though studies stress the need for strategic data-driven decision-making at institutional levels.
Digital Curriculum and Teaching
Studies show significant developments in:
Integration of digital technologies with industry requirements
Development of interactive digital textbooks with learning analytics capabilities
Implementation of cloud-based and hybrid teaching models
Creation of immersive learning environments using VR/AR technologies
Digital and Intelligent Training
While comprising only 5.43% of research literature, key developments include:
Module-based smart training systems
Virtual reality-enhanced practical training
Digital twin technologies for simulating workplace environments
AI-supported personalized learning pathways
Data-Driven Evaluation
Research highlights:
Multi-dimensional evaluation systems incorporating AI and blockchain
Value-added assessment approaches focusing on skill development
AI-Enhanced tools for competency tracking and VR/AR for practical skill assessments.
Enhanced data security and privacy protection measures
Practical Implementation Progress
AI Large Models in TVET
Several institutions have pioneered AI applications:
Development of TVET-specific large language models
Integration of AI-powered digital humans for interactive teaching
Implementation of AI-assisted learning analytics
Creation of scenario-based training using digital twins
Digital Infrastructure Development
Key achievements include:
Nationwide coverage of high-speed networks in TVET institutions
Construction of smart classrooms and virtual training facilities
Implementation of integrated digital management platforms
Development of data sharing mechanisms between institutions
Data-Driven Governance
Notable progress in:
Establishment of standardized data governance frameworks
Implementation of cross-institutional data sharing platforms
Development of data-driven decision-making systems
Creation of comprehensive student digital portfolios
Future Research Directions
Gaps in Research: Insufficient exploration of rural-urban digital divides, AI’s impact on equity, and leadership capacity. Policy Recommendations:
Invest in rural digital infrastructure and teacher training.
Foster international collaboration on AI ethics, credentialing standards, and cross-border skill recognition.
Prioritize longitudinal studies on technology’s long-term effects on TVET outcomes.
Conclusion
China’s 2024 achievements highlight the potential of technology to democratize quality TVET. By focusing on learner-centricity, industry alignment, and ethical AI adoption, China’s model offers actionable lessons for global TVET stakeholders. As the world navigates digital disruption, collaborative research and knowledge exchange will be critical to building inclusive, resilient skill systems.
This newsletter aligns with SDG 4 (Quality Education) and SDG 8 (Decent Work and Economic Growth), supporting the vision of the UNESCO Strategy for TVET (2022–2029): Transforming TVET for successful and just transitions.
Feedback or collaboration ideas? Contact tvetsz@szpu.edu.cn
