Exploration of Cultivating Graduate Students' Innovation Ability Driven by Artificial Intelligence: A Case Study of Modern Sensor Technology Course

Artificial intelligence is profoundly transforming the content, methods, and models of education. As the highest level of higher education, postgraduate education shoulders the core mission of cultivating innovative talents. However, traditional curricula often focus too much on knowledge transmission and lack systematic training in critical thinking and interdisciplinary innovation for postgraduate students. Based on a comparison of postgraduate education models in Europe, America, and Asia, this paper proposes an innovation capacity cultivation model empowered by artificial intelligence. Taking the course 'Modern Sensor Technology' as a case, it explores how to introduce artificial intelligence, big data, and digital twin technologies to build a multi-mapping, interdisciplinary knowledge network and promote the transformation of postgraduate students from 'knowledge receivers' to 'innovative researchers'. Research shows that artificial intelligence can play a key role in course teaching, research training, and educational evaluation: on the one hand, it supports personalized learning and smart classrooms; on the other hand, it enhances students' abilities in problem modeling, solution comparison, and system design. This paper aims to provide a replicable path for the reform of postgraduate education, with the expectation of promoting the deep integration of artificial intelligence and education.