Applying an Innovative Blended Model to Develop Cross-Domain ICT Talent for University Courses

This study designed an an online course Application of Data Science in the Realm of Medicine in which 33 students of medical university and the staff of a medical university hospital enrolled. and Artificial Intelligence and Law of Technology course in which 59 national university students enrolled. A massive open online course platform was used with the online class mentor diversification course operation method and teaching strategy to provide solutions to problems existing in the industry and to encourage a spirit of teamwork in the physical class. Through diverse cross-domain channels, students learned how to use the technology that was integrated with artificial intelligence and relevant to their department. Students cultivated the cross-domain ability required in the contemporary digital economy. The results of this study revealed that after medical university students and general university students received this cultivation-model training, the students who did not study information and communications technology (ICT) significantly outperformed the students who studied ICT. Moreover, no significant differences were found between the learning performance of male and female students. This cultivation model proved to be effective for cross-domain learners. The model also reduced the achievement gap in science learning asssociated with gender differences. In the after-class survey, average score of satisfaction reached 7 and higher in the total of 9 points.