Research on the Role and Development Path of AI in Writing Instruction Feedback

DOI

10.2991/978-94-6463-988-9_22How to use a DOI?

Keywords

Artificial Intelligence Writing Feedback; Teacher Feedback; Feedback Differences; Human-Machine Collaboration

Abstract

This study explores the differences between artificial intelligence (AI) tools and teachers in writing feedback and the practical path of burden reduction. Empirical analysis shows that there are significant differences between the two in the core dimensions: in terms of feedback content, AI takes grammatical accuracy and structural specifications as the core, and relies on algorithms to achieve standardized error identification; Teacher feedback focuses on content logic, cross-cultural adaptation, and personalized expression, and has the characteristics of dynamic adjustment to the situation. In terms of implementation mechanism, AI handles batch mechanical error correction with its immediacy and scale advantages, and teachers strengthen metacognitive reflection through interactive guidance and emotional support. Learners’ preferences for AI feedback are differentiated, partly recognizing efficiency and partly relying on teachers’ humanistic care. In practice, teachers can achieve AI empowerment through a triple path: handing over repetitive tasks such as grammar error correction to AI, freeing up mechanical labor time; building a collaborative mechanism of “AI preprocessing-teacher deep processing”; and improving AI integration through professional development programs. It is recommended to achieve a human-machine collaborative balance through a hierarchical feedback system, targeted training, and ethical norms.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Lulu Liu
PY  - 2026
DA  - 2026/02/15
TI  - Research on the Role and Development Path of AI in Writing Instruction Feedback
BT  - Proceedings of the 2025 5th International Conference on Education, Language and Art (ICELA 2025)
PB  - Atlantis Press
SP  - 183
EP  - 190
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-94-6463-988-9_22
DO  - 10.2991/978-94-6463-988-9_22
ID  - Liu2026
ER  -