Chujing Zhang

With the continued development of artificial intelligence, it is reshaping K-12 education. At present, the application of AI in K-12 education offers several benefits. It can move differentiated instruction from principle to practice. It can support frequent classroom interaction and deep learning. It can also reduce teachers’ repetitive work and create more space for professional creativity. However, as an innovative technology, generative AI also poses challenges at the student, teacher, and ethical levels. For students, these challenges include declining learning autonomy, cognitive bias and information cocoons. For teachers, they include the erosion of authority, overreliance on AI, and difficulties in role transformation. At the ethical level, they include the widening of educational equity gaps and risks to data privacy. In response, future development directions should be considered from short-term, medium-term, and long-term perspectives.

artificial intelligence; AI; big data; K-12 education

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