Innovative Training Model of Cross-Domain Digital ICT Talent Development for Training Application of Data Analysis in Medical Field

Abstract

In response to the increasing demand for cross-domain digital talent, the researchers in this study designed and tested cross-domain digital courses for medical students. These Artificial Intelligence (AI) courses were made available throughout the semester via an innovative blended learning model. Fourteen students took part in a one-credit, an 18-week online and offline blended learning model course entitled Application of Data Science in Medical Fields. The instructors for the physical courses comprised both academics and industry professionals. The final presentation, students put what they learnt into practice in a contemporary medical environment. The course not only helped students develop problem-solving skills but also strengthened the connections between academic subjects and AI-related technology. As a result of this research, medical university students achieved significant academic improvement after participating in the course. Students' rated their satisfaction levels for course contents and materials an average of four out of five.

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