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Mingzhang Zuo

Biographic Data

ID7980912
NAMEMingzhang Zuo
GIVEN NAMESMingzhang
FAMILY NAMEZuo
SIGNATUREZUO M
AFFILIATIONSCentral China Normal University
ORCID0000-0002-6923-357X
VERIFIEDYes
TOTAL WORKS11
TOTAL CITATIONS3
AUTHOR COUNT11
EDITOR COUNT0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2026
H-INDEX1
  • Leveraging Contrastive Vision-Language Pretraining for Zero-Shot Open Learning Behavior Detection in Smart Education

    Open Access•Zhifeng Wang, Longlong Li et al.•ARTICLE•IEEE Transactions on Computational…•2026

    With the rapid advancement of industrial informatics, educational behavior detection has become crucial for enabling intelligent, personalized teaching in smart education. Traditional methods, reliant on predefined behavior categories, struggle to meet the demands of open-vocabulary learning behavior detection in real-world scenarios. To address this, we introduce education open behavior detection (Edu-OBD), an open-vocabulary learning behavior d…

  • Job stressors and the innovative work behaviour of STEM teachers

    Open Access•Bin Wu, Ye Song et al.•ARTICLE•Asia Pacific Journal of Education•2026

    STEM education is crucial in the digital intelligence era, imposing new demands and challenges on teachers. However, there is limited focus on the job stress and innovative work behaviour of STEM teachers, particularly on how job stressors influence their innovative behaviour. This study, from the perspective of school organisational administrators, based on the JDCS Model and social learning theory, surveyed 849 primary and secondary school STEM…

  • MMKT

    Open Access•Zhifeng Wang, Zixin Lu et al.•ARTICLE•IEEE Transactions on Computational…•2025

    To effectively support lifelong learning, personalized e-learning systems aim to provide customized educational services tailored to individual learners’ needs. A crucial aspect for enabling these intelligent services is knowledge tracing, which involves dynamically modeling learners’ knowledge acquisition based on their past learning records. Traditional deep knowledge tracing models primarily focus on learners’ responses and the knowledge compo…

  • Scale effects and driving mechanisms of flood in a multilevel sub-basin perspective - A case study of Haihe River Basin, China

    Open Access•Hanyan Li, Qiao Wang et al.•ARTICLE•Environmental Impact Assessment…•2025•Cited by: 3•References: 46

  • Investigating co-teaching presence and its impact on student engagement

    Open Access•Yujie Yan, Mingzhang Zuo et al.•ARTICLE•Computers & Education•2024

  • The Effects of Using Scaffolding in Online Learning

    Open Access•Mingzhang Zuo, Sen Kong et al.•ARTICLE•Education Sciences•2023

    Scaffolding is widely used in online learning; however, it is unclear whether scaffolding can effectively enhance students’ online learning performance. To evaluate its effectiveness, we conducted a meta-analysis that included 83 effects sizes from 32 articles published between 2011 and 2021. The findings demonstrated that scaffolding had a significant role in improving students’ online learning performance with an overall effect size of 0.53. In…

  • Understanding self-directed learning behaviors in a computer-aided 3D design context

    Open Access•Bowen Liu, Wendong Gui et al.•ARTICLE•Computers & Education•2023

  • Promise and reality

    Open Access•Heng Luo, Mingzhang Zuo et al.•ARTICLE•Educational Technology Research…•2022

  • Performing versus observing

    Open Access•Heng Luo, Tingting Yang et al.•ARTICLE•Computers & Education•2021

  • Virtual reality in K‐12 and higher education

    Open Access•Heng Luo, Gege Li et al.•ARTICLE•Journal of Computer Assisted…•2021

    This study is a systematic review of 20 years of research on the usage of virtual reality (VR) in K‐12 and higher education settings, which aims to consolidate, evaluate, and communicate evidence that can inform both the theory and practice of VR‐based instruction. A total of 149 articles were selected from three major academic databases using search strings and manual screening protocols. The literature analysis emphasized four interrelated aspe…

  • K-12 Students’ Online Learning Experiences during Covid-19

    Open Access•Mingzhang Zuo, Yunpeng Ma et al.•ARTICLE•Frontiers of Education in China•2021

  • Scale effects and driving mechanisms of flood in a multilevel sub-basin perspective - A case study of Haihe River Basin, China

    Open Access•Hanyan Li, Qiao Wang et al.•ARTICLE•Environmental Impact Assessment…•2025•Cited by: 3•References: 46

  • Performing versus observing

    Open Access•Heng Luo, Tingting Yang et al.•ARTICLE•Computers & Education•2021

  • Virtual reality in K‐12 and higher education

    Open Access•Heng Luo, Gege Li et al.•ARTICLE•Journal of Computer Assisted…•2021

    This study is a systematic review of 20 years of research on the usage of virtual reality (VR) in K‐12 and higher education settings, which aims to consolidate, evaluate, and communicate evidence that can inform both the theory and practice of VR‐based instruction. A total of 149 articles were selected from three major academic databases using search strings and manual screening protocols. The literature analysis emphasized four interrelated aspe…

  • K-12 Students’ Online Learning Experiences during Covid-19

    Open Access•Mingzhang Zuo, Yunpeng Ma et al.•ARTICLE•Frontiers of Education in China•2021

  • Promise and reality

    Open Access•Heng Luo, Mingzhang Zuo et al.•ARTICLE•Educational Technology Research…•2022

  • The Effects of Using Scaffolding in Online Learning

    Open Access•Mingzhang Zuo, Sen Kong et al.•ARTICLE•Education Sciences•2023

    Scaffolding is widely used in online learning; however, it is unclear whether scaffolding can effectively enhance students’ online learning performance. To evaluate its effectiveness, we conducted a meta-analysis that included 83 effects sizes from 32 articles published between 2011 and 2021. The findings demonstrated that scaffolding had a significant role in improving students’ online learning performance with an overall effect size of 0.53. In…

  • Understanding self-directed learning behaviors in a computer-aided 3D design context

    Open Access•Bowen Liu, Wendong Gui et al.•ARTICLE•Computers & Education•2023

  • Investigating co-teaching presence and its impact on student engagement

    Open Access•Yujie Yan, Mingzhang Zuo et al.•ARTICLE•Computers & Education•2024

  • MMKT

    Open Access•Zhifeng Wang, Zixin Lu et al.•ARTICLE•IEEE Transactions on Computational…•2025

    To effectively support lifelong learning, personalized e-learning systems aim to provide customized educational services tailored to individual learners’ needs. A crucial aspect for enabling these intelligent services is knowledge tracing, which involves dynamically modeling learners’ knowledge acquisition based on their past learning records. Traditional deep knowledge tracing models primarily focus on learners’ responses and the knowledge compo…

  • Scale effects and driving mechanisms of flood in a multilevel sub-basin perspective - A case study of Haihe River Basin, China

    Open Access•Hanyan Li, Qiao Wang et al.•ARTICLE•Environmental Impact Assessment…•2025•Cited by: 3•References: 46

  • Leveraging Contrastive Vision-Language Pretraining for Zero-Shot Open Learning Behavior Detection in Smart Education

    Open Access•Zhifeng Wang, Longlong Li et al.•ARTICLE•IEEE Transactions on Computational…•2026

    With the rapid advancement of industrial informatics, educational behavior detection has become crucial for enabling intelligent, personalized teaching in smart education. Traditional methods, reliant on predefined behavior categories, struggle to meet the demands of open-vocabulary learning behavior detection in real-world scenarios. To address this, we introduce education open behavior detection (Edu-OBD), an open-vocabulary learning behavior d…

  • Job stressors and the innovative work behaviour of STEM teachers

    Open Access•Bin Wu, Ye Song et al.•ARTICLE•Asia Pacific Journal of Education•2026

    STEM education is crucial in the digital intelligence era, imposing new demands and challenges on teachers. However, there is limited focus on the job stress and innovative work behaviour of STEM teachers, particularly on how job stressors influence their innovative behaviour. This study, from the perspective of school organisational administrators, based on the JDCS Model and social learning theory, surveyed 849 primary and secondary school STEM…

Computer Science (7 works) · Psychology (7 works) · Mathematics education (4 works) · China (3 works) · Medicine (3 works) · Online and Blended Learning (3 works) · Social Psychology (3 works) · Artificial Intelligence (2 works) · Geography (2 works) · Human–computer interaction (2 works)

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