With the ongoing advancement of educational digital transformation strategies, AI-enhanced teaching has emerged as a pivotal topic in the education sector, making digital transformation a core focus of China's educational reforms. As AI applications in education remain in their early stages, teachers' understanding and awareness of AI technologies remain limited. This study conducted a questionnaire survey among nearly 180 students across three educational levels in Chongqing, analyzing the factors influencing teachers 'adoption of AI in instruction. Results indicate generally positive student feedback on digital teaching, though variations exist in feedback patterns across different educational stages and school populations. The study further examines underlying causes and proposes measures to enhance teachers' digital literacy, aligning with critical trends in teacher training for the digital education era.

Mingxing Jing, Wenlong Guo, Daifeng Deng, Nan Meng, Yun Zhou. Feedback and Improvement Measures for Digital Teaching from the Student Perspective. Frontiers in Educational Research (2026), Vol. 9, Issue 6: 43-51. https://doi.org/10.25236/FER.2026.090606.

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