Research on the Teaching Ability of Generative Artificial Intelligence ChatGPT in Traditional Chinese Medicine Majors in Higher Education

Abstract: OBJECTIVE：Test and evaluate the teaching ability of generative artificial intelligence ChatGPT in Traditional Chinese Medicine majors in higher education. METHODS：Using teacher ethics, professional knowledge and teaching ability, teaching design ability, heuristic teaching ability, personalized teaching ability, error correction ability, teaching evaluation ability, and impartiality as evaluation indicators, 1940 Q&A sessions are conducted with ChatGPT and then calculate the accuracy and similarity of ChatGPT’s output answers. RESULTS：Generative artificial intelligence ChatGPT has shown excellent teacher ethics and good personalized teaching ability. However, it does not yet possess the ability to teach traditional Chinese medicine professional knowledge. The teaching design ability, error correction ability, teaching evaluation ability, heuristic teaching ability, and fairness in the field of traditional Chinese medicine are all relatively poor. CONCLUSION：Generative artificial intelligence ChatGPT is still lack of teaching ability in traditional Chinese medicine majors in higher education, and we should be vigilant against fairness and misinformation.