Evaluating AI-generated curriculum designs in vocational education: Evidence from a No-AI diagnostic assessment

Zheng Liu

Open source

DOI: 10.1371/journal.pone.0352555
Published: 2026-08-14
Container: PLOS One
Publisher: Public Library of Science (PLoS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0352555,
  title = {Evaluating AI-generated curriculum designs in vocational education: Evidence from a No-AI diagnostic assessment},
  author = {Zheng Liu},
  year = {2026},
  journal = {PLOS One},
  doi = {10.1371/journal.pone.0352555},
  url = {https://doi.org/10.1371/journal.pone.0352555}
}

RIS

TY  - JOUR
TI  - Evaluating AI-generated curriculum designs in vocational education: Evidence from a No-AI diagnostic assessment
AU  - Zheng Liu
PY  - 2026
JO  - PLOS One
DO  - 10.1371/journal.pone.0352555
UR  - https://doi.org/10.1371/journal.pone.0352555
ER  -

APA

Liu, Z. (2026). Evaluating AI-generated curriculum designs in vocational education: Evidence from a No-AI diagnostic assessment. PLOS One. https://doi.org/10.1371/journal.pone.0352555

Source records

crossref · retrieved 2026-09-25T01:10:59.236Z