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Research and Practice on the Ideological and Political Education Mode in AI-Empowered Blended Foreign Language Teaching

Author(s)

Jingjing Liu

Affiliation(s)

School of Foreign Languages, Taizhou University, Shandong, China

Abstract

This study aims to explore the construction path and practical effectiveness of integrating ideological and political education (IPE) into blended foreign language teaching empowered by artificial intelligence (AI), addressing the existing gaps such as fragmented IPE integration, superficial AI application, and lack of systematic teaching modes in current research. The research adopts a combination of literature review, action research, questionnaire survey, and in-depth interview methods. First, it systematically combs the domestic and foreign research progress on AI in education, blended foreign language teaching, and IPE integration, clarifying the theoretical basis and research focus. Second, it constructs a four-dimensional IPE teaching mode (including goal setting, content design, implementation path, and evaluation mechanism) by leveraging AI technologies such as intelligent course recommendation, real-time interactive feedback, and multi-dimensional learning analysis. Third, the mode is applied in a semester-long teaching practice in undergraduate foreign language courses, with data collected from students’ academic performance, IPE literacy assessment, and teaching feedback. Finally, through data analysis and result verification, the study confirms that the AI-empowered mode effectively enhances students’ foreign language proficiency while improving their ideological and political awareness, and provides a replicable theoretical framework and practical reference for the integration of IPE into blended foreign language teaching.

Keywords

Artificial Intelligence; Blended Foreign Language Teaching; Ideological and Political Education in Courses; Teaching Mode; Practice Research

References

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