Standardizing AI-assisted English Writing: ChatGPT’s Opportunities, Challenges, and Transformer-based Innovations for Scholarly Communication

Abstract

The rapid development of artificial intelligence, especially large language models (LLMs), is transforming English writing practices for both learners and researchers while creating new pathways for standardizing AI-assisted scholarly communication. This study examines how ChatGPT, built on GPT-4 and combined with BERT-based contextual analysis, can enhance writing efficiency, linguistic accuracy, and personalized learning. Using natural language processing, GPT-4 scoring models, and collaborative filtering, the system provides adaptive writing tasks and feedback, further optimized through reinforcement learning. Classroom results show notable improvements, with one student’s writing score increasing from 5.00 to 7.25, highlighting ChatGPT’s value in boosting writing ability and learning motivation. At the scholarly level, evaluation of manuscript samples demonstrates reductions in grammatical (∼2.0%) and typographical (∼1.9%) errors and a clearer argumentative structure. Opportunities such as improved accessibility and creativity coexist with challenges including transparency, ethical use, and reliance on AI. Overall, this work outlines the potential of transformer-based NLP to support standardized, scalable AI-assisted English writing across educational and academic communication ecosystems.

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