Multimodal Test Item Parameter Prediction From Text, Images, and Metadata: Fusing Together AI Vision and Language Models

Hotaka Maeda, Yikai “EK” Lu

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DOI: 10.1177/00131644261460779
Published: 2026-07-13
Container: Educational and Psychological Measurement
Publisher: SAGE Publications
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1177/00131644261460779,
  title = {Multimodal Test Item Parameter Prediction From Text, Images, and Metadata: Fusing Together AI Vision and Language Models},
  author = {Hotaka Maeda and Yikai “EK” Lu},
  year = {2026},
  journal = {Educational and Psychological Measurement},
  doi = {10.1177/00131644261460779},
  url = {https://doi.org/10.1177/00131644261460779}
}

RIS

TY  - JOUR
TI  - Multimodal Test Item Parameter Prediction From Text, Images, and Metadata: Fusing Together AI Vision and Language Models
AU  - Hotaka Maeda
AU  - Yikai “EK” Lu
PY  - 2026
JO  - Educational and Psychological Measurement
DO  - 10.1177/00131644261460779
UR  - https://doi.org/10.1177/00131644261460779
ER  -

APA

Maeda, H., & Lu, Y. “. (2026). Multimodal Test Item Parameter Prediction From Text, Images, and Metadata: Fusing Together AI Vision and Language Models. Educational and Psychological Measurement. https://doi.org/10.1177/00131644261460779

Source records

crossref · retrieved 2026-09-27T14:38:48.509Z