Cited by 230Artificial Intelligence in EducationDigital literacy in educationEFL/ESL Teaching and Learning

The DOI matches its Crossref record; 41 of the 43 references it cites were found in a registry or an index.

Developing language teachers’ professional generative AI competence: An intervention study in an initial language teacher education course

Overview

Integrity signals

Registry

Crossref · 10.1016/j.system.2024.103399

Cites

41 of 41 references verified0 citation errors · 0 not checkable

Statistics

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

Verification

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

Citations

Cites

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Show all 43 references

2 of the 43 references couldn’t be matched to a known paper.

Research works printed but not linked: 3

  1. Cao, 2023, Navigating a world of generative AI: Suggestions for educators, The Next Level Lab at Harvard Graduate School of Education
  2. Ulla, 2023, “To generate or stop generating response”: Exploring EFL teachers’ perspectives on ChatGPT in English language teaching in Thailand, Learning: Research and Practice, 9, 168
  3. Zucchet, 2023, How artificial intelligence is revolutionizing language learning, Berlitz Blog

Cited by

Sorted by citations

Items 201–230 of 230

Metadata

Authors
Moorhouse, B. L., Wan, Y., Wu, C., Kohnke, L., Ho, T. Y., & Kwong, T.
Affiliations
  • Hong Kong Baptist University (HK)
  • Education University of Hong Kong (HK)
Corresponding author
Wan, Yuwei
Venue
System
Publisher
Elsevier BV
Published
2024-10
Volume
125
Pages
103399
ISSN
0346-251X (ISSN-L)
OpenAlex
W4400772824
Cited by
228
References
43
Citations by year
2026: 154 · 2025: 68 · 2024: 6
FWCI
60.03
Type
journal article
Language
en
Open access
closed
Locations
System (publishedVersion)
Topics
  • Social Sciences › Education › Artificial Intelligence in Education
  • Social Sciences › Education › Digital literacy in education
  • Social Sciences › Arts and Humanities › Language and Linguistics › EFL/ESL Teaching and Learning
Keywords
generative AI, pre-service teachers, language teacher education, teacher training intervention, responsible AI use, pedagogical competence, teacher preparation courses

About these checks

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.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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