Analysis shows AI enhances critical thinking through personalized learning, but raises concerns about cultural biases and cognitive sovereignty.
The deep integration of generative AI into education has attracted widespread attention, but existing research lacks a systematic exploration of the long-term influence mechanism of critical thinking. This article analyzes the educational reconstruction and its dual effects triggered by the evolution of AI from a “tool” to a “cognitive partner”. Research shows that AI expands thinking training through personalized learning and immediate feedback. However, its algorithmic rationality implies cultural biases and a tendency towards data simplification, which may lead to the transfer of cognitive sovereignty and the compression of innovative thinking. The optimization strategies include: constructing a “technical buffer zone” to protect independent thinking; enhance algorithm transparency and cultural inclusiveness; promoting the transformation of teachers and improving the human-machine collaborative evaluation framework. The research emphasizes that AI education needs to strike a balance between technological empowerment and humanistic reflection to safeguard human cognitive sovereignty.
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Ruimeng Zhang (2025) studied this question.
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