The three aspects of internal logic for empowering ideological and political education with artificial intelligence include the structural adaptation of technological drive and educational need, the reshaping of subject relationship under the human-machine collaboration, and the dialectical unity of value orientation and education ecosystem.  In reality, the application of technology has resulted in weakening teacher-student interaction along with subject status, occupation of instrumental rationality leading to the loss of humanistic spirit and deviation from value orientation, full-scale technological application is superficial, resulting in a lack of deep convergence and reduction of efficiency, failure of data security leading to personal information leakage and immature supervision mechanisms. To combat the challenges confronted by these technologies, we must intervene in a timely manner to enhance the human-machine interaction between humans and AI, reconstruct the interaction and emotional experience of subjects; uphold the value rationality of AI, reintegrate the humanistic spirit and correct the value orientation of these technologies; innovate application scenarios and enhance educational effectiveness through deep integration; and improve the regulatory system for data security management and ethical risk resolution. These measures will allow the rational and effective development of AI-empowered ideological and political education.

Yan Li. The Theory, Reality and Path of Artificial Intelligence Empowering of Ideological and Political Education. International Journal of Big Data Intelligent Technology (2024), Vol. 5, Issue 1: 239-247. https://doi.org/10.38007/IJBDIT.2024.050125.

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