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Analysis compares intelligent technology and teacher feedback in high school English teaching, suggesting improvements for educational equity.
In the context of informatization, intelligent technologies (such as AI and big data) have gradually permeated senior high school English continuation writing teaching. However, significant deviations between their feedback and teacher feedback affect teaching effectiveness. This study compares the differences in content, methods, and effects of the two types of feedback to analyze the problems and root causes in the practice of intelligent technology-assisted teaching. The research shows that the deep integration of intelligent technology and education needs to balance technological advantages and humanistic care to promote students' all-round development and educational equity. In the future, the education sector needs multi-stakeholder collaboration to address new challenges in intelligent technology-assisted teaching.
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Shijing Wu (2025) studied this question.
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