Abstract

Background: Research and application of artificial intelligence (AI) tools in teaching and learning the Applied Informatics section not only meets the need for learning equipment but also supports lecturers in the teaching process, contributing to improving training quality and meeting global development trends in medical education. Objective: This study aims to evaluate the current status and propose effective solutions for the integration of AI tools into the teaching and learning of the Applied Computer Science course for postgraduate students at the University of Medicine and Pharmacy, Thai Nguyen University. Methods: Cross-sectional descriptive study on 165 postgraduate students (CKII and BSNT) participating in the applied informatics course. Results: Survey results show that students' access to AI in learning is still limited, only 20.6% use it regularly, while 29.7% rarely access it and 22.4% have never used it. The BSNT group tends to apply AI more than CKII, but the exploitation of AI in complex tasks such as data analysis and in-depth research is still low. Key barriers include lack of skills, concerns about accuracy and high costs. Conclusion: AI has the potential to support learning but has not been exploited effectively. To optimize AI applications, it is necessary to strengthen training, guidance and support policies to help students access and use this technology effectively and responsibly.