Risks and Mitigation Strategies for the Use of Multimodal Gen-AI in High School Ideological and Political Education
Multimodal generative artificial intelligence (Gen-AI), leveraging diverse technological advantages—including text, images, audio-visual content, and interactive simulations—has provided novel support for innovating high school ideological and political education, effectively addressing longstanding pedagogical challenges in traditional classroom settings, such as limited instructional formats, inadequate contextualization, and abstract theoretical concepts. However, during this technological empowerment process, multiple factors—including algorithmic limitations, data bias, misuse by stakeholders, and insufficient institutional mechanisms—pose various risks to teaching practices, including deviations in value orientation, distortion of knowledge delivery, alienation of the roles of teachers and students, data security vulnerabilities, and inaccuracies in instructional evaluation. This paper aims to offer practical references for fostering high-quality development of high school ideological and political education in the era of digital intelligence.
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