Cited by 100Artificial Intelligence in EducationDigital Education and SocietyArtificial Intelligence in Healthcare and Education

Generative AI, Teacher Knowledge and Educational Research: Bridging Short- and Long-Term Perspectives

Mishra, Punya, Oster, Nicole, Henriksen, Danah·2024·TechTrends

Integrity signals

Registry

Crossref · 10.1007/s11528-024-00938-1

Cites

27 of 27 references verified0 citation errors · 0 not checkable

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

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Authors
Mishra, P., Oster, N., & Henriksen, D.
Affiliations
Arizona State University (US)
Corresponding author
  • Mishra, Punya
  • Oster, Nicole
  • Henriksen, Danah
Venue
TechTrends
Published
2024-02-13
Volume
68
Issue
2
Pages
205-210
ISSN
  • 1559-7075 (ISSN-L)
  • 8756-3894
OpenAlex
W4391782462
Cited by
100
References
27
Citations by year
2026: 47 · 2025: 43 · 2024: 10
FWCI
26.33
Type
journal article
Language
en
Open access
closed
Locations
TechTrends (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
  • Physical Sciences › Computer Science › Information Systems › Digital Education and Society
  • Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
Keywords
generative AI, teacher knowledge, teacher professional development, educational research, pre-service teachers, in-service teachers, AI tools in teaching, educational technology, ethical use of AI, future of education

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.

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