Unveiling the Mechanisms of the Development of Students' Artificial Intelligence Application Abilities in Interdisciplinary Education

ABSTRACT The convergence of multiple disciplines like medicine and engineering has spurred the swift progress of technologies including big data and artificial intelligence in the educational realm. The sustainable development of students' artificial intelligence application abilities is an important task in education. To enhance the precision and interdisciplinary nature of research in improving students' artificial intelligence application abilities, our study delves deeply into the mechanisms behind these abilities. We innovatively used cutting‐edge methods such as knowledge graphs to conduct multidimensional analysis, combined with the background of the times to explore the reasons for the changes in research hotspots and publication volume, and comprehensively presented the research process and development status of students' artificial intelligence application abilities from a global perspective. We found that the field of students' artificial intelligence application abilities is gradually shifting towards interdisciplinary integration with strong comprehensiveness, and deep cooperation across countries, disciplines, and teams will bring greater and more profound development opportunities. On the path of interdisciplinary intersection and artificial intelligence integration, this study provides references and new insights into the development trends of students' artificial intelligence application abilities. Additionally, it effectively promotes the scientific development of students' abilities in the field of artificial intelligence applications at the intersection of multiple disciplines such as medicine and engineering.