erdEducation Reform and Development2652-53642652-5372Bio-Byword Scientific Publishing Pty. Ltd.10.26689/erd.v7i3.10150ArticleThe Construction and Reflection of Integrated Circuit Design Liberal Studies Course in the View of AIGChttps://artdesignp.com/journal/erd/7/3/10.26689/erd.v7i3.10150BaiNa,HuChenyang2025732025-04-07This 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.

Miao F, 2023, An Examination of the Principles of Generative Artificial Intelligence Technology and Its Educational Applicability. Modern Education Technology, 33(11): 5–18.

Ge K, Xu H, Liu X, 2024, Status Quo, Hotspots and Frontiers of Artificial Intelligence Teaching Research in Colleges and Universities. Higher Education Forum, 2024(6): 13–18 + 82.

Qiu F, Wu Y, 2024, Analysis of the Core Elements of Generative Artificial Intelligence-Driven Educational Innovation. Research on Education Development, 44(Z1): 9–16.

Hu W, Zhang Y, Lv Y, et al., 2024, Exploring the Creativity of Artificial Intelligence. Modern Education Technology, 34(1): 17–25.

Luo Y, Zhang F, Huang C, 2024, Research on Innovative Thinking Education Under the Impact of Generative Artificial Intelligence. China Modern Educational Equipment, 2024(16): 8–11.

Yu H, Zhang W, Yang X, 2023, Application, Problems and Prospects of Generative Artificial Intelligence in Education. China Adult Education, 2023(7): 30–36.

Liu S, Hao X, 2024, Challenges and Progress of Generative Artificial Intelligence Enabling Educational Innovation. Tsinghua University Education Research, 45(3): 1–12.

Liu SN, 2022, The Road of Convergence and Development of Artificial Intelligence+Education. Journal of National Institute of Educational Administration, 2022(10): 7–10.

Song Y, 2024, What Makes ChatGPT-Enabled Community Education Feasible? China Vocational and Technical Education, 2024(9): 9–17.

Yang X, Wang Q, Wang R, 2023, Limited Capabilities of Generative Artificial Intelligence and Educational Change. Global Education Perspectives, 52(6): 3–12.

Liu B, Nie X, Wang S, et al., 2024, Generative Artificial Intelligence and the Reshaping of Future Education Forms: Technical Framework, Capability Characteristics and Application Trends. Journal of Audio-visual Education Research, 45(1): 13–20.

Wu H, Wu M, 2024, Generative Artificial Intelligence for Educational Applications: Development History, International Situation and Future Prospects. Comparative Educational Research, 46(6): 13–23.

Xie H, Liu Y, 2024, The Value, Dilemma and Prospect of Generative Artificial Intelligence in Teaching and Learning Utilization. Information Systems Engineering, 2024(08): 120–123.

Bai Q, Li J, 2025, Exploration of the Path to Enhance Adult Students' Learning Motivation in the View of Ausubel's Theory of Internal Drive for Learning. Journal of Northwest College of Adult Education, 2025(2): 25–30.

Jiang H, 2023, Potentials, Risks and Challenges of Generative AI in Education. Modern Education Management,2023(7): 66–74.