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Yuhui Jing

Biographic Data

ID3913319
NAMEYuhui Jing
GIVEN NAMESYuhui
FAMILY NAMEJing
SIGNATUREJING Y
AFFILIATIONSZhejiang University of Technology
ORCID0000-0002-8593-2725
VERIFIEDYes
TOTAL WORKS8
TOTAL CITATIONS0
AUTHOR COUNT8
EDITOR COUNT0
FIRST PUBLICATION YEAR2023
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Pathways and optimization of generative AI in higher education teaching: A text mining and content analysis approach

    Yuhui Jing, Runyi Hu et al.•ARTICLE•Interactive Learning Environments•2026

    Currently, using Generative Artificial Intelligence (GenAI) to empower the transformation of classroom teaching paradigms in higher education is a global educational research focus. However, existing studies predominantly focus on evaluating the effectiveness, advantages, and risks of GenAI-enabled classroom teaching, while few systematically explore the specific pathways and optimization strategies for implementation. To address this gap, the st…

  • A systematic literature review on the application of generative artificial intelligence (GAI) in teaching within higher education: Instructional contexts, process, and strategies

    Open Access•Peijun Wang, Yuhui Jing et al.•ARTICLE•The Internet and Higher Education•2025

  • Unveiling learners’ intentions toward influencer-led education: An integration of qualitative and quantitative analysis

    Xiaojiao Chen, Tina Yu et al.•ARTICLE•Interactive Learning Environments•2025

    In the rapidly evolving landscape of social media, the emergence of Influencer-led Education as a novel learning model presents a paradigm shift in the mobile learning era. To illuminate the underpinnings of learners’ inclination to embrace this model, this study adopts an integrated methodological framework, encompassing grounded theory and fuzzy-set Qualitative Comparative Analysis (fsQCA). Based on 17 in-depth interviews, an Action-Decision Fr…

  • Unleashing the power of virtual learning environment: Exploring the impact on learning outcomes through a meta-analysis

    Yuhui Jing, J Dai et al.•ARTICLE•Interactive Learning Environments•2025

    This study used meta-analysis to assess the impact of learning in Virtual Learning Environments (VLE) on cognitive and non-cognitive outcomes, analyzing 48 articles from 2000 to 2023. It also investigated how VLE types, research design, discipline, educational level, intervention duration, and learning methods influence these outcomes. The findings revealed that: (1) VLE significantly improved cognitive and non-cognitive outcomes with medium to l…

  • What factors will affect the effectiveness of using ChatGPT to solve programming problems? A quasi-experimental study

    Open Access•Yuhui Jing, Haoming Wang et al.•ARTICLE•Humanities and Social Sciences…•2024

    The emergence of ChatGPT has sparked new expectations for AI-empowered educational transformation. However, it remains unknown which factors affect its effectiveness in empowering learners to solve programming problems. Therefore, this study employed a quasi-experimental research design and used Python graphing in programming education as an example to investigate the factors influencing the effectiveness of learners in applying ChatGPT to proble…

  • Education reform and change driven by digital technology: A bibliometric study from a global perspective

    Open Access•Chengliang Wang, Xiaojiao Chen et al.•ARTICLE•Humanities and Social Sciences…•2024

    Amidst the global digital transformation of educational institutions, digital technology has emerged as a significant area of interest among scholars. Such technologies have played an instrumental role in enhancing learner performance and improving the effectiveness of teaching and learning. These digital technologies also ensure the sustainability and stability of education during the epidemic. Despite this, a dearth of systematic reviews exists…

  • A bibliometric analysis of studies on technology‐supported learning environments: Hot topics and frontier evolution

    Open Access•Yuhui Jing, Chengliang Wang et al.•ARTICLE•Journal of Computer Assisted…•2024

  • The Implementation Path and Problems Encountered During Emergency Remote Teaching in Vocational Colleges: A Qualitative Study in China

    Open Access•Yuhui Jing, Xiaojiao Chen et al.•ARTICLE•SAGE Open•2023•References: 51

    In the context of the COVID-19 pandemic, emergency remote teaching (ERT) in vocational colleges has become a point of attention in the academic community. This study adopts qualitative research methods, including content analysis and multiple case studies, to examine the implementation path and encountered problems of ERT in vocational colleges. It examines 326 textual materials and 37 teaching cases related to ERT during a period of home isolati…

No prominent works on this page.

  • The Implementation Path and Problems Encountered During Emergency Remote Teaching in Vocational Colleges: A Qualitative Study in China

    Open Access•Yuhui Jing, Xiaojiao Chen et al.•ARTICLE•SAGE Open•2023•References: 51

    In the context of the COVID-19 pandemic, emergency remote teaching (ERT) in vocational colleges has become a point of attention in the academic community. This study adopts qualitative research methods, including content analysis and multiple case studies, to examine the implementation path and encountered problems of ERT in vocational colleges. It examines 326 textual materials and 37 teaching cases related to ERT during a period of home isolati…

  • What factors will affect the effectiveness of using ChatGPT to solve programming problems? A quasi-experimental study

    Open Access•Yuhui Jing, Haoming Wang et al.•ARTICLE•Humanities and Social Sciences…•2024

    The emergence of ChatGPT has sparked new expectations for AI-empowered educational transformation. However, it remains unknown which factors affect its effectiveness in empowering learners to solve programming problems. Therefore, this study employed a quasi-experimental research design and used Python graphing in programming education as an example to investigate the factors influencing the effectiveness of learners in applying ChatGPT to proble…

  • Education reform and change driven by digital technology: A bibliometric study from a global perspective

    Open Access•Chengliang Wang, Xiaojiao Chen et al.•ARTICLE•Humanities and Social Sciences…•2024

    Amidst the global digital transformation of educational institutions, digital technology has emerged as a significant area of interest among scholars. Such technologies have played an instrumental role in enhancing learner performance and improving the effectiveness of teaching and learning. These digital technologies also ensure the sustainability and stability of education during the epidemic. Despite this, a dearth of systematic reviews exists…

  • A bibliometric analysis of studies on technology‐supported learning environments: Hot topics and frontier evolution

    Open Access•Yuhui Jing, Chengliang Wang et al.•ARTICLE•Journal of Computer Assisted…•2024

  • A systematic literature review on the application of generative artificial intelligence (GAI) in teaching within higher education: Instructional contexts, process, and strategies

    Open Access•Peijun Wang, Yuhui Jing et al.•ARTICLE•The Internet and Higher Education•2025

  • Unveiling learners’ intentions toward influencer-led education: An integration of qualitative and quantitative analysis

    Xiaojiao Chen, Tina Yu et al.•ARTICLE•Interactive Learning Environments•2025

    In the rapidly evolving landscape of social media, the emergence of Influencer-led Education as a novel learning model presents a paradigm shift in the mobile learning era. To illuminate the underpinnings of learners’ inclination to embrace this model, this study adopts an integrated methodological framework, encompassing grounded theory and fuzzy-set Qualitative Comparative Analysis (fsQCA). Based on 17 in-depth interviews, an Action-Decision Fr…

  • Unleashing the power of virtual learning environment: Exploring the impact on learning outcomes through a meta-analysis

    Yuhui Jing, J Dai et al.•ARTICLE•Interactive Learning Environments•2025

    This study used meta-analysis to assess the impact of learning in Virtual Learning Environments (VLE) on cognitive and non-cognitive outcomes, analyzing 48 articles from 2000 to 2023. It also investigated how VLE types, research design, discipline, educational level, intervention duration, and learning methods influence these outcomes. The findings revealed that: (1) VLE significantly improved cognitive and non-cognitive outcomes with medium to l…

  • Pathways and optimization of generative AI in higher education teaching: A text mining and content analysis approach

    Yuhui Jing, Runyi Hu et al.•ARTICLE•Interactive Learning Environments•2026

    Currently, using Generative Artificial Intelligence (GenAI) to empower the transformation of classroom teaching paradigms in higher education is a global educational research focus. However, existing studies predominantly focus on evaluating the effectiveness, advantages, and risks of GenAI-enabled classroom teaching, while few systematically explore the specific pathways and optimization strategies for implementation. To address this gap, the st…

Computer Science (7 works) · Psychology (6 works) · Mathematics education (5 works) · Online Learning and Analytics (5 works) · Online and Blended Learning (4 works) · Sociology (4 works) · Educational technology (3 works) · Artificial Intelligence (2 works) · Artificial Intelligence in Healthcare and Education (2 works) · Data science (2 works)

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