2권 2호
초록
Abstract
Background: With the rapid growing demand in the Korean Medicine community, hands-on ultrasound training is expected to expand in undergraduate Korean Medicine education. However, hands-on training requires costly ultrasound equipment and instructors, necessitating preliminary studies to assess the feasibility and expected effectiveness of the training. This study aims to explore changes in student performance with repeated practice to identify the minimum time required for effective ultrasound hands-on training. Methods: This prospective observational study will be conducted at a College of Korean Medicine in South Korea. A 4-week musculoskeletal ultrasonography training program will be implemented, consisting of three repetitive hands-on training and four practical examinations for three modules of different difficulty levels. A total of 30 second or third-year students of Korean Medicine will be recruited. The data to be analyzed include participant characteristics, practical examination scores for each session, and pre- and post-training survey scores. Repeated measure ANOVA will be used to examine whether there is a significant difference in scores between the rounds of the practical exam. Discussion and conclusion: This study will provide novel evidence regarding each student’s appropriate time on probe for effective ultrasound training in Korean Medicine education. Students’ perceptions and self-efficacy towards ultrasonography and feedback on the training program will contribute to designing and developing ultrasound training programs.
초록
Abstract
With the advent of the AI era, the competencies required of learners in the field of Korean medicine are also evolving. Learners are expected to have the ability to effectively treat patients and conduct research by leveraging AI. To achieve this, Korean medicine education needs to teach learners about AI concepts, practical applications, and its social impact. I propose the introduction of AI in education as a strategy to cultivate future talent in Korean Medicine, who will lead the future of healthcare. This paper will first introduce the concept of AI in education, followed by an explanation of the three forms of AI-based education: AI literacy education, AI application education, and AI ethics education. Through this paper, I hope to encourage proactive efforts to integrate AI-based education into Korean medicine education.