Performance of ChatGPT on optometry and vision science exam questions.

ABSTRACT: The rapid proliferation of Large Language Models (LLM) tools, such as ChatGPT developed by OpenAI, presents both a challenge and an opportunity for educators. While LLMs can generate convincing written responses across a wide range of academic fields, their capabilities vary noticeably across different models, fields and even sub-fields. This paper aims to evaluate the capabilities of LLMs in the field of optometry and vision science by analysing the quality of the responses generated by ChatGPT using sample long answer questions covering different sub-fields of optometry, namely binocular vision, clinical communication, dispensing and ocular pathology. It also seeks to explore the possibility of LLMs being used as virtual graders. The capabilities of ChatGPT were explored utilising variou

SUBMITTER: Yoshioka N 

PROVIDER: S-EPMC12357226 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature