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Guozhu Ding

Biographic Data

ID8820186
NAMEGuozhu Ding
GIVEN NAMESGuozhu
FAMILY NAMEDing
SIGNATUREDING G
AFFILIATIONSGuangzhou University
ORCID0000-0002-2043-8320
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
AUTHOR COUNT3
EDITOR COUNT0
FIRST PUBLICATION YEAR2025
LATEST PUBLICATION YEAR2026
H-INDEX0
  • ChatGPT-generated feedback versus teacher feedback in pre-service teachers’ instructional design development: A quasi-experimental study

    Open Access•Guozhu Ding, Yiya Ou et al.•ARTICLE•Teaching and Teacher Education•2026

    This study investigated the effectiveness of ChatGPT-generated feedback on pre-service teachers’ instructional design development through a quasi-experimental design. While both ChatGPT and teacher-generated feedback significantly improved instructional design scores, neither produced significant changes in broader design competencies. Pre-service teachers demonstrated high acceptance of ChatGPT feedback across performance expectancy, effort expe…

  • Exploring the impact of feedback timing on student performance in online testing

    Open Access•Guozhu Ding, Minyi Li et al.•ARTICLE•Asia Pacific Education Review•2025

  • Impact of mindset types and social community compositions on opinion dynamics: A large language model-based multi-agent simulation study

    Open Access•Guozhu Ding, Zuer Liu et al.•ARTICLE•Computers in Human Behavior•2025

No prominent works on this page.

  • Exploring the impact of feedback timing on student performance in online testing

    Open Access•Guozhu Ding, Minyi Li et al.•ARTICLE•Asia Pacific Education Review•2025

  • Impact of mindset types and social community compositions on opinion dynamics: A large language model-based multi-agent simulation study

    Open Access•Guozhu Ding, Zuer Liu et al.•ARTICLE•Computers in Human Behavior•2025

  • ChatGPT-generated feedback versus teacher feedback in pre-service teachers’ instructional design development: A quasi-experimental study

    Open Access•Guozhu Ding, Yiya Ou et al.•ARTICLE•Teaching and Teacher Education•2026

    This study investigated the effectiveness of ChatGPT-generated feedback on pre-service teachers’ instructional design development through a quasi-experimental design. While both ChatGPT and teacher-generated feedback significantly improved instructional design scores, neither produced significant changes in broader design competencies. Pre-service teachers demonstrated high acceptance of ChatGPT feedback across performance expectancy, effort expe…

Computer Science (2 works) · Higher education (2 works) · Pedagogy (2 works) · Psychology (2 works) · Agent-based model (1 works) · Artificial Intelligence (1 works) · Artificial Intelligence in Healthcare and Education (1 works) · Complex Network Analysis Techniques (1 works) · Computational and Text Analysis Methods (1 works) · Evaluation of Teaching Practices (1 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae