Cited by 23Artificial Intelligence in EducationScience Education and PedagogyIntelligent Tutoring Systems and Adaptive Learning

The Impact of AI Chatbot-Supported Guided Discovery Learning on Pre-service Teachers’ Learning Performance and Motivation

Huang, Hui-Wen, Teng, Daniel Chia-En, Tiangco, Joseph Anthony Narciso Z.·2025·Journal of Science Education and Technology

Integrity signals

Registry

Crossref · 10.1007/s10956-024-10179-9

Cites

56 of 56 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

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Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • GenAI can enhance surface-level accuracy, but meaningful progress in higher-order abilities such as critical evaluation and creativity requires explicit pedagogical support.

    “while GenAI can enhance surface-level accuracy, meaningful progress in higher-order abilities such as critical evaluation and creativity requires explicit pedagogical support [12, 19].”

Cites

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Cited by

Authors
Huang, H.-W., Teng, D. C.-E., & Tiangco, J. A. N. Z.
Affiliations
  • Shaoguan University (CN)
  • Tunghai University (TW)
  • Shu-Te University (TW)
Corresponding author
Teng, Daniel Chia-En
Venue
Journal of Science Education and Technology
Published
2024-11-20
Volume
34
Issue
6
Pages
1286-1300
ISSN
  • 1059-0145 (ISSN-L)
  • 1573-1839
OpenAlex
W4404543857
Cited by
23
References
56
Citations by year
2026: 11 · 2025: 11 · 2024: 1
FWCI
8.67
Type
journal article
Language
en
Open access
closed
Locations
Journal of Science Education and Technology (publishedVersion)
Funders
  • Shaoguan University (9900064603)
  • the Natural Science Foundation of Guangdong Province, China (2024A0505050025)
Topics
  • Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
  • Social Sciences › Education › Science Education and Pedagogy
  • Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
Keywords
AI chatbots, guided discovery learning, pre-service teachers, student motivation, ARCS motivational model, environmental education, personalized learning, teacher professional development, critical thinking, global environmental problems

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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