December 10, 2025Journal of Circuits Systems and Computers

Intelligent English Writing Tutoring System Using Generative Adversarial Networks and Collaborative Filtering for Personalized Feedback and Style Enhancement

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Authors

ZLZhou LiShanghai University ZYZhangwei YangPingxiang University

Discussion

Member takes

Implication

This system demonstrates real-time personalized feedback and creativity in writing for students, highlighting Generative Adversarial Networks and language models.

Key Points

Grammatical error rates decreased to below 10%, improving writing quality significantly.
Vocabulary diversity increased with up to 20 types added, enriching student expression and creativity.
Utilizing Generative Adversarial Networks, the system generates high-quality writing examples for feedback.
Collaborative Filtering improves personalized guidance by analyzing writing history and adapting strategies.

Cite This Study

Li et al. (2025) studied this question.

synapsesocial.com/papers/69401b372d562116f28f7e74 https://doi.org/10.1142/s0218126626500702

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Implication

This system demonstrates real-time personalized feedback and creativity in writing for students, highlighting Generative Adversarial Networks and language models.

Intelligent English Writing Tutoring System Using Generative Adversarial Networks and Collaborative Filtering for Personalized Feedback and Style Enhancement

Discussion

Member takes

Implication

Key Points

Cite This Study

Intelligent English Writing Tutoring System Using Generative Adversarial Networks and Collaborative Filtering for Personalized Feedback and Style Enhancement

Discussion

Member takes

Implication

Key Points

Cite This Study

Also Consider

Also Consider