This paper investigates how generative AI technologies can fundamentally improve ideological and political education in university English courses, specifically targeting art students at private institutions. It examines the historical context of incorporating moral education into language instruction both within China and globally. Additionally, it assesses the potential of AI tools like ChatGPT and AI-powered image generators to revolutionize conventional teaching methods. The study identifies key theoretical frameworks—constructivist learning, transformative learning, and socio-cultural theory—that support the integration of AI into moral education. It also presents practical application scenarios, including AI-driven adaptive learning, scenario-based learning, and collaborative projects, tailored to the unique needs of art students. The findings suggest that AI technologies can significantly enhance the effectiveness of moral education in language courses by creating personalized, interactive, and engaging learning experiences. The paper concludes by calling for further research into the long-term impact of AI in education and the ethical considerations surrounding its use.

Fei Shen. Preliminary Research on Generative AI Technology in the Context of Ideological and Political Education in University English Courses. International Journal of Educational Curriculum Management and Research (2024), Vol. 5, Issue 2: 16-21. https://doi.org/10.38007/IJECMR.2024.050202.

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