This paper is in the following e-collection/theme issue:

Formative Evaluation of Digital Health Interventions (3229) Digital Science, Open Science (91) Generative Language Models Including ChatGPT (708) Machine Learning (2074) Artificial Intelligence (2127)

Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46800, first published .
Assessing ChatGPT’s Capability for Multiple Choice Questions Using RaschOnline: Observational Study

Assessing ChatGPT’s Capability for Multiple Choice Questions Using RaschOnline: Observational Study

Assessing ChatGPT’s Capability for Multiple Choice Questions Using RaschOnline: Observational Study

Authors of this article:

Julie Chi Chow1, 2 Author Orcid Image ;   Teng Yun Cheng3 Author Orcid Image ;   Tsair-Wei Chien4 Author Orcid Image ;   Willy Chou5, 6 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Chou W, Chow J. Enhancing English abstract quality for non-English speaking authors using ChatGPT: A comparative study of Taiwan, Japan, China, and South Korea with slope graphs. Medicine 2024;103(40):e39796 View

Conference Proceedings

  1. Taschetto L, Fileto R. Anais do XVI Simpósio Brasileiro de Tecnologia da Informação e da Linguagem Humana (STIL 2025). Evaluating Large Language Models through Multidimensional Item Response Theory: A Comprehensive Case Study on ENEM View