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Yonghe Wu

Biographic Data

ID9493566
NAMEYonghe Wu
GIVEN NAMESYonghe
FAMILY NAMEWu
SIGNATUREWU Y
AFFILIATIONSEast China Normal University
ORCID0000-0002-1141-3316
VERIFIEDYes
TOTAL WORKS6
TOTAL CITATIONS0
AUTHOR COUNT6
EDITOR COUNT0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2026
H-INDEX0
  • AI support in self‐regulated learning: A decade of technological evolution and meta‐analysis

    Open Access•Jun Xu, Yuying Luo et al.•ARTICLE•British Journal of Educational…•2026

    This meta‐analysis systematically examines 35 empirical studies (2013–2025) investigating artificial intelligence applications within Zimmerman's cyclical model of self‐regulated learning (SRL). Three principal discoveries emerge: (1) Technological progression has evolved through three co‐existing paradigms: rule‐based architectures, data‐driven adaptive systems and generative AI ecosystems, that demonstrate increasingly sophisticated capabilitie…

  • Uncovering the predictive effect of behaviours on self‐directed learning ability

    Open Access•Bowen Liu, Yonghe Wu et al.•ARTICLE•British Journal of Educational…•2024

    Self‐direction has become an important skill in the 21st century. To cultivate learners with a high level of self‐direction, it is necessary to diagnose their self‐directed learning (SDL) ability. This study diagnosed and predicted learners' SDL ability based on their actual SDL behaviours. The study was performed in a self‐directed 3D design class lasting 90 minutes. A total of 193 middle school students participated in the study. The results of…

  • The role of self-directed learning in studying 3D design and modeling

    Bowen Liu, Yonghe Wu et al.•ARTICLE•Interactive Learning Environments•2023

    3D design and modeling is an important part of design education. Self-directed learning (SDL) has been considered in order to effectively learn and teach 3D design and modeling. Exploring the relationship between students’ SDL ability and their behavior in learning 3D design will not only promote the 3D design learning process and outcomes, but also enhance their SDL ability. This study explored the relationship among students’ SDL ability, their…

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

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

  • Exploring behavioural differences between certificate achievers and explorers in Moocs

    Bowen Liu, Yonghe Wu et al.•ARTICLE•Asia Pacific Journal of Education•2022

    Massive open online courses (MOOCs) face the ongoing problem of low pass rates. A number of MOOC learners engage in most or all course activities but fail to pass the course. To improve participation and thereby increase successful completion, this study explores the behavioural differences between certificate achievers and explorers that lead to their different learning outcomes. Eleven behaviours were extracted from more than 80,000 behaviour r…

  • Linking cognitive processes and learning outcomes: The influence of cognitive presence on learning performance in Moocs

    Open Access•Bowen Liu, Wanli Xing et al.•ARTICLE•British Journal of Educational…•2022

    Massively open online courses (MOOCs) offer learners opportunities for self‐improvement and knowledge development. Linking cognitive processes and learning outcomes is helpful in supporting students learning with the help of MOOCs. Based on the cognitive presence of the Community of Inquiry framework, this study quantified the effect of cognitive presence on students’ learning performance by analysing more than 400,000 posts of 13 MOOCs. First, t…

No prominent works on this page.

  • Exploring behavioural differences between certificate achievers and explorers in Moocs

    Bowen Liu, Yonghe Wu et al.•ARTICLE•Asia Pacific Journal of Education•2022

    Massive open online courses (MOOCs) face the ongoing problem of low pass rates. A number of MOOC learners engage in most or all course activities but fail to pass the course. To improve participation and thereby increase successful completion, this study explores the behavioural differences between certificate achievers and explorers that lead to their different learning outcomes. Eleven behaviours were extracted from more than 80,000 behaviour r…

  • Linking cognitive processes and learning outcomes: The influence of cognitive presence on learning performance in Moocs

    Open Access•Bowen Liu, Wanli Xing et al.•ARTICLE•British Journal of Educational…•2022

    Massively open online courses (MOOCs) offer learners opportunities for self‐improvement and knowledge development. Linking cognitive processes and learning outcomes is helpful in supporting students learning with the help of MOOCs. Based on the cognitive presence of the Community of Inquiry framework, this study quantified the effect of cognitive presence on students’ learning performance by analysing more than 400,000 posts of 13 MOOCs. First, t…

  • The role of self-directed learning in studying 3D design and modeling

    Bowen Liu, Yonghe Wu et al.•ARTICLE•Interactive Learning Environments•2023

    3D design and modeling is an important part of design education. Self-directed learning (SDL) has been considered in order to effectively learn and teach 3D design and modeling. Exploring the relationship between students’ SDL ability and their behavior in learning 3D design will not only promote the 3D design learning process and outcomes, but also enhance their SDL ability. This study explored the relationship among students’ SDL ability, their…

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

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

  • Uncovering the predictive effect of behaviours on self‐directed learning ability

    Open Access•Bowen Liu, Yonghe Wu et al.•ARTICLE•British Journal of Educational…•2024

    Self‐direction has become an important skill in the 21st century. To cultivate learners with a high level of self‐direction, it is necessary to diagnose their self‐directed learning (SDL) ability. This study diagnosed and predicted learners' SDL ability based on their actual SDL behaviours. The study was performed in a self‐directed 3D design class lasting 90 minutes. A total of 193 middle school students participated in the study. The results of…

  • AI support in self‐regulated learning: A decade of technological evolution and meta‐analysis

    Open Access•Jun Xu, Yuying Luo et al.•ARTICLE•British Journal of Educational…•2026

    This meta‐analysis systematically examines 35 empirical studies (2013–2025) investigating artificial intelligence applications within Zimmerman's cyclical model of self‐regulated learning (SRL). Three principal discoveries emerge: (1) Technological progression has evolved through three co‐existing paradigms: rule‐based architectures, data‐driven adaptive systems and generative AI ecosystems, that demonstrate increasingly sophisticated capabilitie…

Computer Science (5 works) · Psychology (5 works) · Innovative Teaching and Learning Methods (4 works) · Mathematics education (4 works) · Artificial Intelligence (3 works) · Online Learning and Analytics (3 works) · Autodidacticism (2 works) · Online and Blended Learning (2 works) · Perception (2 works) · Reflective Practices in Education (2 works)

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