English

Field-testing items using artificial intelligence: Natural language processing with transformers

Computation and Language 2023-10-19 v1

Abstract

Five thousand variations of the RoBERTa model, an artificially intelligent "transformer" that can understand text language, completed an English literacy exam with 29 multiple-choice questions. Data were used to calculate the psychometric properties of the items, which showed some degree of agreement to those obtained from human examinee data.

Keywords

Cite

@article{arxiv.2310.11655,
  title  = {Field-testing items using artificial intelligence: Natural language processing with transformers},
  author = {Hotaka Maeda},
  journal= {arXiv preprint arXiv:2310.11655},
  year   = {2023}
}
R2 v1 2026-06-28T12:53:56.447Z