Only when AI learns "simulated thinking" can teachers return to the essence of education

China’s education AI is moving beyond basic automation toward human-AI collaboration and cognition-aware systems.

Policy guidance and academic commentary stress teacher AI literacy, student cognition modeling, and stronger data governance.

Tianli Qiming’s individualized learning platform is cited as a leading example of this shift in practice.

Researchers say world-model-driven education AI could improve personalization while letting teachers focus more on mentoring and values education.