Keywords
General education curriculum
Submitted : 2025-03-09
Accepted : 2025-03-24
Published : 2025-04-08
Abstract
This dissertation explores the potential and challenges of the application of generative artificial intelligence (AIGC) and the construction of general education courses on integrated circuits. With the implementation of the national education digitalization strategy, AIGC has risen and brought new ideas for the reform of general education. AIGC significantly improves the teaching effect and promotes the overall development of students by optimizing the division of integrated circuits general education courses, automatically generating the materials that nurture original integrated circuits-related majors, and providing students with curriculum planning that combines experimental practice and theoretical teaching. However, challenges such as the opacity of technology, data privacy and security issues, and educational ethics cannot be ignored. By analyzing the status quo of IC education at home and abroad and the application of AIGC, promoting the digital transformation of IC general education courses, optimizing cross-domain teaching, and promoting cross-college cooperation are the future development direction of AIGC.
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