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Zehui Zhan

Biographic Data

ID7124482
NAMEZehui Zhan
GIVEN NAMESZehui
FAMILY NAMEZhan
SIGNATUREZHAN Z
AFFILIATIONSSouth China Normal University
ORCID0000-0002-6936-1977
VERIFIEDYes
TOTAL WORKS18
TOTAL CITATIONS0
AUTHOR COUNT18
EDITOR COUNT0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Interpersonal neural synchronization in pair programming based on prior knowledge

    Open Access•Qinchen Yang, Zehui Zhan et al.•ARTICLE•International Journal of…•2026

  • Effects of Pedagogical Agent-Generated Summaries on Video-Based Learning

    Open Access•Lei Yuan, Jiyuan Xu et al.•ARTICLE•Education Sciences•2025

    As an emerging learning support technology, large language model-powered pedagogical agents demonstrate significant potential in enhancing video learning effectiveness, yet the underlying cognitive mechanisms remain inadequately elucidated. This study employed a multimodal approach combining EEG and eye-tracking to investigate the effects of AI-generated mind maps and text summaries on learning performance and cognitive processing. Following data…

  • Synergizing Knowledge Graphs and LLMs

    Open Access•Guixia Wang, Zehui Zhan et al.•ARTICLE•Education Sciences•2025

    General large language models (LLMs) often suffer from semantic misinterpretation, information redundancy, and hallucinated content when applied to educational question-answering tasks. These issues hinder their effectiveness in supporting students’ specialized course learning and self-directed study. To address these challenges, this study proposes an intelligent tutoring model that integrates a knowledge graph with a large language model (KG-CQ…

  • A Systematic Review of Virtual Reality Applications for Adaptive Behavior Training in Individuals with Intellectual Disabilities

    Open Access•Pei Zhou, Zehui Zhan•ARTICLE•Education Sciences•2025

    (1) Deficits in adaptive behavior significantly hinder individuals with intellectual disabilities from performing essential daily tasks and participating in community life. Although virtual reality shows promise for supporting adaptive behavior in this population, systematic reviews on this topic remain scarce. (2) Methods: Twenty-five experimental studies from the databases Web of Science, PubMed, Scopus, and ERIC, published between 2005 and 202…

  • Exploring human and AI collaboration in inclusive STEM teacher training

    Open Access•Tingting Li, Zehui Zhan et al.•ARTICLE•The Internet and Higher Education•2025

    Inclusive STEM teacher training plays a critical role in shaping the future of STEM teaching practices and improving educational outcomes for all students, particularly those from marginalized and underrepresented backgrounds. This study investigates the inclusive collaborative learning framework for enhancing STEM teaching among student teachers, focusing on interpersonal and human-machine (generative artificial intelligence) collaboration. Empl…

  • Unpacking Learners’ Global Perspective and Willingness to Communicate in English among Different English Proficiency University Students in China

    Open Access•Yuehai Xiao, Zehui Zhan•ARTICLE•Psychological Reports•2025

    The correlation between students' Global Perspective (GP) and Willingness to Communicate in a second language (L2 WTC), particularly in the context of China, remains an under-explored area. Additionally, few studies have compared the GP and WTC among students with varying English proficiency levels or examined whether there are specific similarities and differences among these students. This study aimed to bridge these gaps within the context of …

  • A systematic literature review of game-based learning in Artificial Intelligence education

    Zehui Zhan, Yao Tong et al.•ARTICLE•Interactive Learning Environments•2024

    In recent years, Game-Based Learning (GBL) has been widely adopted in various educational settings. This paper aims to review empirical studies that adopt GBL in the field of AI education and explore its future research perspectives. After a systematic keyword search in the online database and a snowballing approach, a total of 125 empirical papers with 133 studies were targeted as samples. Results indicated that the games in AI education are mai…

  • Applying functional near-infrared spectroscopy (fNirs) in educational research

    Open Access•Zehui Zhan, Qinchen Yang et al.•ARTICLE•Current Psychology•2024

  • Expert or machine? Comparing the effect of pairing student teacher with in-service teacher and ChatGPT on their critical thinking, learning performance, and cognitive load in an integrated-STEM course

    Tingting Li, Yu Ji et al.•ARTICLE•Asia Pacific Journal of Education•2024

    For student teachers’ professional development, the emergence of generative artificial intelligence (AI) represents both opportunity and challenge. This exploratory quasi-experimental study aims to investigate the effects of “Human-Human” and “Human-Machine” collaborative learning approaches on the SETM teaching training performance of student teachers. Twenty-three student teachers were divided into two groups within a single class, each adoptin…

  • Subject integration and theme evolution of STEM education in K-12 and higher education research

    Open Access•Zehui Zhan, Shijing Niu•ARTICLE•Humanities and Social Sciences…•2023

    Over the past two decades, the field of STEM education has produced a wealth of research findings. This study systematically reviewed the published literature from the perspective of subject integration and theme evolution, considering both K-12 and higher education. It was found that STEM education originated from higher education, but the main emphasis is gradually shifting to the K-12 stage. There were mainly sixteen subjects involved in STEM …

  • Key competencies acquired from STEM education

    Open Access•Zehui Zhan, Yuanmin Li et al.•ARTICLE•Humanities and Social Sciences…•2023

    Parents’ expectations affect children’s key competencies acquired from STEM education, and influence their future career development. This study aimed to determine the influence of parents’ expectations on children’s key competencies gained through STEM education, with a particular focus on gender difference. A total of 736 parents (44% fathers and 56% mothers) of children aged 3–12 (50.4% boys and 49.6% girls) participated in a two-section surve…

  • A literature review on the empirical studies of technology-based embodied learning

    Baichang Zhong, Siyu Su et al.•ARTICLE•Interactive Learning Environments•2023

    BRIEF SUMMARYTechnology-Based Embodied Learning (TBEL) is a hotspot in learning science. By systematically reviewing 49 SSCI journal articles, this paper revealed the relationship between any two of sample group, sample size, duration, subject distribution, research design, and measurement instrument, etc. In general, the major results showed TBEL is helpful for students to enhance the knowledge comprehension and skills, improve long-term retenti…

  • An exploration of combining virtual and physical robots in robotics education

    Baichang Zhong, Jijun Zheng et al.•ARTICLE•Interactive Learning Environments•2023

    This study examined the effects of virtual and physical robots (VPR) using in different learning stages (simple session/complex session) in a robotics programming course. A quasi-experimental design was implemented with 84 junior high school students from two classes. One class with 44 students used combination of VPR strategy for learning, whereas the other class with 42 students used only physical robots (the PR strategy) to learn the same cont…

  • A longitudinal study into the effects of material incentives on knowledge-sharing networks and information lifecycles in an online forum

    Zehui Zhan, Mei Hu et al.•ARTICLE•Interactive Learning Environments•2023

    The purpose of this study is to examine the effect of material incentives on the knowledge-sharing networks and information lifecycles of a public online forum. The users’ interaction data were collected from two similar sub-forums, and one of them provided material incentives for sharing knowledge. After collecting user behaviors for one natural year, the interaction data from 18,079 main posts and 326,024 replies were coded using social network…

  • What should a Chinese top-level design in STEM Education look like

    Open Access•Baichang Zhong, Xiaofan Liu et al.•ARTICLE•Humanities and Social Sciences…•2022

    STEM education has been extensively recognized by the Chinese government and the public nationally. However, there is no consistent terminology for naming STEM education in China, which leads to confusion about the use of STEM label in practice. Meanwhile, STEM-related evaluation has not received sufficient consideration by the Chinese government except for the Ministry of Education. In addition, macro-regulation and policy support at the nationa…

  • Effect of groups size on students' learning achievement, motivation, cognitive load, collaborative problem‐solving quality, and in‐class interaction in an introductory AI course

    Open Access•Zehui Zhan, Guoqing He et al.•ARTICLE•Journal of Computer Assisted…•2022

  • Cellphone addiction during the Covid-19 outbreak

    Open Access•Zehui Zhan, Qing Wei et al.•ARTICLE•Computers in Human Behavior•2021

  • Smart classroom environments affect teacher-student interaction

    Open Access•Zehui Zhan, Qianyi Wu et al.•ARTICLE•Australasian Journal of…•2021

    This study investigated the effect of classroom settings on teacher-student interaction in higher education by comparing the behavioural sequences in smart classrooms (SCs) and traditional multimedia classrooms (TMCs). Twenty in-classroom teaching sessions were randomly selected from six universities in South China, involving 1,043 students and 23 teachers. Half of the sessions were taken in SCs as the experimental group, and half were in TMCs as…

No prominent works on this page.

  • Cellphone addiction during the Covid-19 outbreak

    Open Access•Zehui Zhan, Qing Wei et al.•ARTICLE•Computers in Human Behavior•2021

  • Smart classroom environments affect teacher-student interaction

    Open Access•Zehui Zhan, Qianyi Wu et al.•ARTICLE•Australasian Journal of…•2021

    This study investigated the effect of classroom settings on teacher-student interaction in higher education by comparing the behavioural sequences in smart classrooms (SCs) and traditional multimedia classrooms (TMCs). Twenty in-classroom teaching sessions were randomly selected from six universities in South China, involving 1,043 students and 23 teachers. Half of the sessions were taken in SCs as the experimental group, and half were in TMCs as…

  • What should a Chinese top-level design in STEM Education look like

    Open Access•Baichang Zhong, Xiaofan Liu et al.•ARTICLE•Humanities and Social Sciences…•2022

    STEM education has been extensively recognized by the Chinese government and the public nationally. However, there is no consistent terminology for naming STEM education in China, which leads to confusion about the use of STEM label in practice. Meanwhile, STEM-related evaluation has not received sufficient consideration by the Chinese government except for the Ministry of Education. In addition, macro-regulation and policy support at the nationa…

  • Effect of groups size on students' learning achievement, motivation, cognitive load, collaborative problem‐solving quality, and in‐class interaction in an introductory AI course

    Open Access•Zehui Zhan, Guoqing He et al.•ARTICLE•Journal of Computer Assisted…•2022

  • Subject integration and theme evolution of STEM education in K-12 and higher education research

    Open Access•Zehui Zhan, Shijing Niu•ARTICLE•Humanities and Social Sciences…•2023

    Over the past two decades, the field of STEM education has produced a wealth of research findings. This study systematically reviewed the published literature from the perspective of subject integration and theme evolution, considering both K-12 and higher education. It was found that STEM education originated from higher education, but the main emphasis is gradually shifting to the K-12 stage. There were mainly sixteen subjects involved in STEM …

  • Key competencies acquired from STEM education

    Open Access•Zehui Zhan, Yuanmin Li et al.•ARTICLE•Humanities and Social Sciences…•2023

    Parents’ expectations affect children’s key competencies acquired from STEM education, and influence their future career development. This study aimed to determine the influence of parents’ expectations on children’s key competencies gained through STEM education, with a particular focus on gender difference. A total of 736 parents (44% fathers and 56% mothers) of children aged 3–12 (50.4% boys and 49.6% girls) participated in a two-section surve…

  • A literature review on the empirical studies of technology-based embodied learning

    Baichang Zhong, Siyu Su et al.•ARTICLE•Interactive Learning Environments•2023

    BRIEF SUMMARYTechnology-Based Embodied Learning (TBEL) is a hotspot in learning science. By systematically reviewing 49 SSCI journal articles, this paper revealed the relationship between any two of sample group, sample size, duration, subject distribution, research design, and measurement instrument, etc. In general, the major results showed TBEL is helpful for students to enhance the knowledge comprehension and skills, improve long-term retenti…

  • An exploration of combining virtual and physical robots in robotics education

    Baichang Zhong, Jijun Zheng et al.•ARTICLE•Interactive Learning Environments•2023

    This study examined the effects of virtual and physical robots (VPR) using in different learning stages (simple session/complex session) in a robotics programming course. A quasi-experimental design was implemented with 84 junior high school students from two classes. One class with 44 students used combination of VPR strategy for learning, whereas the other class with 42 students used only physical robots (the PR strategy) to learn the same cont…

  • A longitudinal study into the effects of material incentives on knowledge-sharing networks and information lifecycles in an online forum

    Zehui Zhan, Mei Hu et al.•ARTICLE•Interactive Learning Environments•2023

    The purpose of this study is to examine the effect of material incentives on the knowledge-sharing networks and information lifecycles of a public online forum. The users’ interaction data were collected from two similar sub-forums, and one of them provided material incentives for sharing knowledge. After collecting user behaviors for one natural year, the interaction data from 18,079 main posts and 326,024 replies were coded using social network…

  • A systematic literature review of game-based learning in Artificial Intelligence education

    Zehui Zhan, Yao Tong et al.•ARTICLE•Interactive Learning Environments•2024

    In recent years, Game-Based Learning (GBL) has been widely adopted in various educational settings. This paper aims to review empirical studies that adopt GBL in the field of AI education and explore its future research perspectives. After a systematic keyword search in the online database and a snowballing approach, a total of 125 empirical papers with 133 studies were targeted as samples. Results indicated that the games in AI education are mai…

  • Applying functional near-infrared spectroscopy (fNirs) in educational research

    Open Access•Zehui Zhan, Qinchen Yang et al.•ARTICLE•Current Psychology•2024

  • Expert or machine? Comparing the effect of pairing student teacher with in-service teacher and ChatGPT on their critical thinking, learning performance, and cognitive load in an integrated-STEM course

    Tingting Li, Yu Ji et al.•ARTICLE•Asia Pacific Journal of Education•2024

    For student teachers’ professional development, the emergence of generative artificial intelligence (AI) represents both opportunity and challenge. This exploratory quasi-experimental study aims to investigate the effects of “Human-Human” and “Human-Machine” collaborative learning approaches on the SETM teaching training performance of student teachers. Twenty-three student teachers were divided into two groups within a single class, each adoptin…

  • Effects of Pedagogical Agent-Generated Summaries on Video-Based Learning

    Open Access•Lei Yuan, Jiyuan Xu et al.•ARTICLE•Education Sciences•2025

    As an emerging learning support technology, large language model-powered pedagogical agents demonstrate significant potential in enhancing video learning effectiveness, yet the underlying cognitive mechanisms remain inadequately elucidated. This study employed a multimodal approach combining EEG and eye-tracking to investigate the effects of AI-generated mind maps and text summaries on learning performance and cognitive processing. Following data…

  • Synergizing Knowledge Graphs and LLMs

    Open Access•Guixia Wang, Zehui Zhan et al.•ARTICLE•Education Sciences•2025

    General large language models (LLMs) often suffer from semantic misinterpretation, information redundancy, and hallucinated content when applied to educational question-answering tasks. These issues hinder their effectiveness in supporting students’ specialized course learning and self-directed study. To address these challenges, this study proposes an intelligent tutoring model that integrates a knowledge graph with a large language model (KG-CQ…

  • A Systematic Review of Virtual Reality Applications for Adaptive Behavior Training in Individuals with Intellectual Disabilities

    Open Access•Pei Zhou, Zehui Zhan•ARTICLE•Education Sciences•2025

    (1) Deficits in adaptive behavior significantly hinder individuals with intellectual disabilities from performing essential daily tasks and participating in community life. Although virtual reality shows promise for supporting adaptive behavior in this population, systematic reviews on this topic remain scarce. (2) Methods: Twenty-five experimental studies from the databases Web of Science, PubMed, Scopus, and ERIC, published between 2005 and 202…

  • Exploring human and AI collaboration in inclusive STEM teacher training

    Open Access•Tingting Li, Zehui Zhan et al.•ARTICLE•The Internet and Higher Education•2025

    Inclusive STEM teacher training plays a critical role in shaping the future of STEM teaching practices and improving educational outcomes for all students, particularly those from marginalized and underrepresented backgrounds. This study investigates the inclusive collaborative learning framework for enhancing STEM teaching among student teachers, focusing on interpersonal and human-machine (generative artificial intelligence) collaboration. Empl…

  • Unpacking Learners’ Global Perspective and Willingness to Communicate in English among Different English Proficiency University Students in China

    Open Access•Yuehai Xiao, Zehui Zhan•ARTICLE•Psychological Reports•2025

    The correlation between students' Global Perspective (GP) and Willingness to Communicate in a second language (L2 WTC), particularly in the context of China, remains an under-explored area. Additionally, few studies have compared the GP and WTC among students with varying English proficiency levels or examined whether there are specific similarities and differences among these students. This study aimed to bridge these gaps within the context of …

  • Interpersonal neural synchronization in pair programming based on prior knowledge

    Open Access•Qinchen Yang, Zehui Zhan et al.•ARTICLE•International Journal of…•2026

Psychology (12 works) · Mathematics education (10 works) · Computer Science (9 works) · Artificial Intelligence (5 works) · Cognition (5 works) · Innovative Teaching and Learning Methods (5 works) · Cognitive Load (4 works) · Online Learning and Analytics (4 works) · Teaching and Learning Programming (4 works) · Pedagogy (3 works)

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