Exploration and Practice Research on AIGC-Empowered Teaching of University Computer Courses for Medical Majors
Chen Wang, Huiying Qi
ABSTRACT
The enormous potential of Artificial Intelligence Generated Content (AIGC) in the field of education provides new opportunities for teaching innovation. In response to the significant differences in computer proficiency among medical students, difficulties in personalized tutoring, and lagging updates of practical cases in computer courses for medical majors, this study explores the teaching path of AIGC empowerment courses from the perspectives of course objective, teaching content, teaching mode, practical operation, and assessment method, and constructs a teaching environment centered around medical students. The results of teaching practice show that 92% of medical students can complete programming tasks on time, the average completion time decreased by nearly 30% (from 50 to 35 minutes), 78%, 82%, and 88% of students affirmed that AIGC reduces learning difficulty, enhances problem-solving abilities, and warrants continued use, respectively, validating the application value of AIGC in curriculum teaching and providing reference for AIGC to empower medical education reform in the digital and intelligent era.