Information amount, accuracy, and relevance of generative artificial intelligence platforms’ answers regarding learning objectives of medical arthropodology evaluated in English and Korean queries in December 2023: a descriptive study.

Journal: Journal of educational evaluation for health professions
Published Date:

Abstract

PURPOSE: This study assessed the performance of 6 generative artificial intelligence (AI) platforms on the learning objectives of medical arthropodology in a parasitology class in Korea. We examined the AI platforms’ performance by querying in Korean and English to determine their information amount, accuracy, and relevance in prompts in both languages.

Authors

  • Hyunju Lee
    College of Medicine, Hallym University, Chuncheon, Korea.
  • Soobin Park
    College of Medicine, Hallym University, Chuncheon, Korea.