Integration of Traditional Chinese Medicine Constitution Identification Robot into Nursing Informatics Curriculum: A Case Study at Xiangnan University

Abstract

This study aimed to assess students’ acceptance of integrating artificial intelligence (AI) technology into teaching methods by integrating the traditional Chinese medicine constitution identification robot into nursing informatics coursework. This exploration served as a foundation for the potential widespread adoption of AI-assisted teaching practices. Before course commencement, 72.29% of students admitted limited knowledge of AI, whereas 55.42% expressed doubts about adapting to AI-integrated nursing courses. However, 93.37% of students endorsed the introduction of AI technology in the experimental coursework, with 83.13% believing that the widespread AI use in clinics would bolster confidence in the nursing field. Initially, students lacked confidence in learning courses that incorporated AI technology. However, post-course, more than 98% expressed satisfaction with the AI teaching mode. Integrating AI technology into nursing education fostered student engagement, boosted confidence in nursing practice, and mitigated nursing workforce attrition. This approach holds promise for future educational endeavors.