A Study on the “Three-Stage” Blended Teaching Model of Ideological and Political Education in College Foreign Language Courses Empowered by Generative AI
DOI:
https://doi.org/10.18063/cef.v3i5.1208Keywords:
Generative AI, Ideological and Political Education (IPE), College Foreign Language Teaching, Blended Learning, Three-Stage ModelAbstract
With the rapid advancement of artificial intelligence (AI), particularly Generative AI tools such as ChatGPT, college foreign language teaching is undergoing profound transformation. Traditional approaches to embedding ideological and political education (IPE) into language courses have often relied on teachers’ experience and one-way lecturing, which limits depth and interactivity. This study explores a three-stage blended teaching model empowered by Generative AI, focusing on pre-class preparation, in-class engagement, and post-class reflection. By integrating AI-driven personalized learning, interactive discussions, and reflective extension, the model enables deeper ideological and cultural integration while enhancing students’ critical thinking and cross-cultural competence. The findings demonstrate that Generative AI offers significant potential in unifying knowledge transmission and value guidance, providing both theoretical and practical insights for the innovative development of IPE in foreign language teaching.
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