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Zongkai Yang

Biographic Data

ID8989063
NAMEZongkai Yang
GIVEN NAMESZongkai
FAMILY NAMEYang
SIGNATUREYANG Z
AFFILIATIONSCentral China Normal University
ORCID0000-0001-8354-721X
VERIFIEDYes
TOTAL WORKS6
TOTAL CITATIONS0
WORKS AS AUTHOR6
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2024
H-INDEX0
  • Use of human–computer interactive games for the dynamic assessment of language skills of children with autism spectrum disorder

    Open Access•Kai Zhang, Jingying Chen et al.•ARTICLE•British Journal of Educational…•2024

    This study explored the influence of the dynamic assessment of human–computer interactive games on children's language potential. Thirty‐seven special children aged 3–7 years were selected to participate in the study. They were divided into three groups according to their scores on the Autism Behaviour Checklist: (1) a non‐autism group, (2) a suspected autism group and (3) an autism group. In two stages of static and dynamic assessment, all three…

  • Modeling temporal cognitive topic to uncover learners’ concerns under different cognitive engagement patterns

    Zhi Liu, Rui Mu et al.•ARTICLE•Interactive Learning Environments•2023

    Massive open online courses (MOOCs) provide learners with high-quality learning resources, but learners drop out frequently. Learners’ concerns (e.g. the topics in course content or logistics) and cognitive engagement patterns (e.g. tentative or certain) are considered the essential factors affecting learners’ course completions. However, it is still unclear what different learning achievement groups focus on in each cognitive engagement pattern.…

  • Computer-supported collaborative concept mapping

    Sannyuya Liu, Lingyun Kang et al.•ARTICLE•Interactive Learning Environments•2023

    Computer-supported collaborative concept mapping (CSCCM) integrates technology and concept mapping to support students’ knowledge understanding, and much research on the behavioral patterns involved in CSCCM activities has been conducted. However, there is limited understanding of the differences in knowledge understanding and behavioral patterns between students with different levels of collaboration perception. This study examined the impact of…

  • An analysis approach for blended learning based on weighted multiplex networks

    Open Access•Zhu Su, Yue Li et al.•ARTICLE•Educational Technology Research…•2023

  • Automated detection of emotional and cognitive engagement in Mooc discussions to predict learning achievement

    Open Access•Sannyuya Liu, Shiqi Liu et al.•ARTICLE•Computers & Education•2022

  • Examining the effects of note-taking styles on college students’ learning achievement and cognitive load

    Open Access•Yinghui Shi, Huiyun Yang et al.•ARTICLE•Australasian Journal of…•2022

    This study investigated the effects of note-taking styles on college students’ learning achievement and cognitive load in a 6-week lecture-based computer network course. Forty-two students were randomly assigned into one of three groups, which consisted of collaborative note-taking, laptop note-taking, and traditional longhand note-taking. The results showed that students in the collaborative note-taking group did better on learning achievement a…

No prominent works on this page.

  • Automated detection of emotional and cognitive engagement in Mooc discussions to predict learning achievement

    Open Access•Sannyuya Liu, Shiqi Liu et al.•ARTICLE•Computers & Education•2022

  • Examining the effects of note-taking styles on college students’ learning achievement and cognitive load

    Open Access•Yinghui Shi, Huiyun Yang et al.•ARTICLE•Australasian Journal of…•2022

    This study investigated the effects of note-taking styles on college students’ learning achievement and cognitive load in a 6-week lecture-based computer network course. Forty-two students were randomly assigned into one of three groups, which consisted of collaborative note-taking, laptop note-taking, and traditional longhand note-taking. The results showed that students in the collaborative note-taking group did better on learning achievement a…

  • Modeling temporal cognitive topic to uncover learners’ concerns under different cognitive engagement patterns

    Zhi Liu, Rui Mu et al.•ARTICLE•Interactive Learning Environments•2023

    Massive open online courses (MOOCs) provide learners with high-quality learning resources, but learners drop out frequently. Learners’ concerns (e.g. the topics in course content or logistics) and cognitive engagement patterns (e.g. tentative or certain) are considered the essential factors affecting learners’ course completions. However, it is still unclear what different learning achievement groups focus on in each cognitive engagement pattern.…

  • Computer-supported collaborative concept mapping

    Sannyuya Liu, Lingyun Kang et al.•ARTICLE•Interactive Learning Environments•2023

    Computer-supported collaborative concept mapping (CSCCM) integrates technology and concept mapping to support students’ knowledge understanding, and much research on the behavioral patterns involved in CSCCM activities has been conducted. However, there is limited understanding of the differences in knowledge understanding and behavioral patterns between students with different levels of collaboration perception. This study examined the impact of…

  • An analysis approach for blended learning based on weighted multiplex networks

    Open Access•Zhu Su, Yue Li et al.•ARTICLE•Educational Technology Research…•2023

  • Use of human–computer interactive games for the dynamic assessment of language skills of children with autism spectrum disorder

    Open Access•Kai Zhang, Jingying Chen et al.•ARTICLE•British Journal of Educational…•2024

    This study explored the influence of the dynamic assessment of human–computer interactive games on children's language potential. Thirty‐seven special children aged 3–7 years were selected to participate in the study. They were divided into three groups according to their scores on the Autism Behaviour Checklist: (1) a non‐autism group, (2) a suspected autism group and (3) an autism group. In two stages of static and dynamic assessment, all three…

Psychology (6 works) · Mathematics education (5 works) · Cognition (4 works) · Computer Science (4 works) · Innovative Teaching and Learning Methods (4 works) · Cognitive psychology (3 works) · Collaborative learning (2 works) · Online and Blended Learning (2 works) · Online Learning and Analytics (2 works) · Student engagement (2 works)

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