Field-testing items using artificial intelligence: Natural language processing with transformers
Not on the map. Why?
Abstract (arXiv)
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.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 1 of its 4 references that are in the map. First posted on arXiv 18 Oct 2023.
Builds on
1 of 4 references.
References · 1
- 2019RoBERTa: A Robustly Optimized BERT Pretraining Approachcited by 13,372
Built on by
Not cited yet.