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Juming Jiang

Biographic Data

ID8901924
NAMEJuming Jiang
GIVEN NAMESJuming
FAMILY NAMEJiang
SIGNATUREJIANG J
AFFILIATIONSHong Kong Metropolitan University
ORCID0000-0003-0799-5357
VERIFIEDYes
TOTAL WORKS6
TOTAL CITATIONS0
WORKS AS AUTHOR6
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2024
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Can Virtual Reality Promote Cognitive, Affective, and Psychomotor Learning? A Synthesis of Systematic Reviews and Meta-Analytic Evidence

    Open Access•Yuchun Zhong, Chunqi Li et al.•ARTICLE•Journal of Educational Computing…•2026

    This umbrella review provides a thorough synthesis of evidence on the impact of virtual reality on three domains of learning (cognitive, affective, and psychomotor), informed by Bloom’s Taxonomy. Content analysis was applied to 93 articles comprising 70 systematic reviews, 17 systematic reviews and meta-analyses, and 6 meta-analyses, extracted from three databases (i.e., Web of Science, Scopus, and IEEE Xplore). The results indicated that affecti…

  • Development and validation of short version of university-program student engagement questionnaire (Supseq)

    Juming Jiang, Alex Shum et al.•ARTICLE•Higher Education Research &…•2026

    Universities and other institutions of higher learning typically administer questionnaires to assess students’ university and program-level engagement, but many of these tools lack a solid theoretical foundation and rigorous psychometric testing. This study aimed to develop and validate a shortened version of a combined student engagement scale based on two prominent measures: the Chinese College Student Survey (CCSS) and the Student Learning Exp…

  • Assessment of class participation in online and offline learning environments

    Open Access•Patricia D Simon, Juming Jiang et al.•ARTICLE•Higher Education Research &…•2025

    Class participation is an important indicator of student engagement. As research on assessing class participation is relatively scarce, questions of how to achieve reliability in assessing class participation and how to minimize subjectivity in the process remain to be addressed. As assessment approaches get updated in the era of Generative AI, there is a need to revisit the topic to uncover the various ways educators assess class participation i…

  • The Hong Kong Polytechnic University

    Open Access•Juming Jiang, Fei Yin Lo et al.•CHAPTER•Student Engagement Across Pacific…•2024

  • The effect of virtual reality learning on students' motivation

    Open Access•Juming Jiang, Luke K Fryer•ARTICLE•Journal of Computer Assisted…•2024

  • Measurement of higher education students’ and teachers’ experiences in learning management systems

    Patricia D Simon, Juming Jiang et al.•ARTICLE•Assessment & Evaluation in Higher…•2024

    Learning management systems (LMSs) have facilitated access to courses beyond conventional classroom environments via distance and asynchronous education. Although numerous studies have examined LMS usage in higher education institutions, review of scales measuring the LMS experience of both students and teachers remains scarce. This scoping review aimed to identify scales assessing student and teacher experiences with LMS, along with the attribut…

No prominent works on this page.

  • The Hong Kong Polytechnic University

    Open Access•Juming Jiang, Fei Yin Lo et al.•CHAPTER•Student Engagement Across Pacific…•2024

  • The effect of virtual reality learning on students' motivation

    Open Access•Juming Jiang, Luke K Fryer•ARTICLE•Journal of Computer Assisted…•2024

  • Measurement of higher education students’ and teachers’ experiences in learning management systems

    Patricia D Simon, Juming Jiang et al.•ARTICLE•Assessment & Evaluation in Higher…•2024

    Learning management systems (LMSs) have facilitated access to courses beyond conventional classroom environments via distance and asynchronous education. Although numerous studies have examined LMS usage in higher education institutions, review of scales measuring the LMS experience of both students and teachers remains scarce. This scoping review aimed to identify scales assessing student and teacher experiences with LMS, along with the attribut…

  • Assessment of class participation in online and offline learning environments

    Open Access•Patricia D Simon, Juming Jiang et al.•ARTICLE•Higher Education Research &…•2025

    Class participation is an important indicator of student engagement. As research on assessing class participation is relatively scarce, questions of how to achieve reliability in assessing class participation and how to minimize subjectivity in the process remain to be addressed. As assessment approaches get updated in the era of Generative AI, there is a need to revisit the topic to uncover the various ways educators assess class participation i…

  • Can Virtual Reality Promote Cognitive, Affective, and Psychomotor Learning? A Synthesis of Systematic Reviews and Meta-Analytic Evidence

    Open Access•Yuchun Zhong, Chunqi Li et al.•ARTICLE•Journal of Educational Computing…•2026

    This umbrella review provides a thorough synthesis of evidence on the impact of virtual reality on three domains of learning (cognitive, affective, and psychomotor), informed by Bloom’s Taxonomy. Content analysis was applied to 93 articles comprising 70 systematic reviews, 17 systematic reviews and meta-analyses, and 6 meta-analyses, extracted from three databases (i.e., Web of Science, Scopus, and IEEE Xplore). The results indicated that affecti…

  • Development and validation of short version of university-program student engagement questionnaire (Supseq)

    Juming Jiang, Alex Shum et al.•ARTICLE•Higher Education Research &…•2026

    Universities and other institutions of higher learning typically administer questionnaires to assess students’ university and program-level engagement, but many of these tools lack a solid theoretical foundation and rigorous psychometric testing. This study aimed to develop and validate a shortened version of a combined student engagement scale based on two prominent measures: the Chinese College Student Survey (CCSS) and the Student Learning Exp…

Computer Science (4 works) · Higher education (4 works) · Mathematics education (4 works) · Pedagogy (4 works) · Psychology (4 works) · Medical education (2 works) · Online and Blended Learning (2 works) · Political science (2 works) · Artificial Intelligence (1 work) · Asynchronous communication (1 work)

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