Integrating AI Tools in English Writing Classes to Enhance Student Accuracy and Coherence

Authors

  • khidayatul Munawwaroh Universitas Batanghari Author

DOI:

https://doi.org/10.59613/vnnrve23

Keywords:

Artificial Intelligence, English Writing, Student Accuracy, Coherence, Educational Technology

Abstract

This study explores the integration of artificial intelligence (AI) tools in English writing classes with the aim of enhancing student accuracy and coherence. Utilizing a qualitative research methodology based on library research and literature review, the study examines various AI technologies such as grammar checkers, automated feedback systems, and writing assistants, and their impact on improving writing skills. The analysis synthesizes findings from a range of academic articles, case studies, and theoretical frameworks to understand how AI tools support the writing process by providing real-time, personalized feedback and promoting self-regulated learning. The literature indicates that AI tools can help students identify and correct grammatical errors, organize their ideas more coherently, and develop greater confidence in their writing abilities. Moreover, these technologies encourage iterative writing practices and enable instructors to focus more on higher-order writing skills such as argument development and creativity. Despite challenges related to over-reliance on technology and potential issues of accessibility, the integration of AI in writing instruction presents a promising avenue for enhancing student learning outcomes. This study contributes to the ongoing discourse on educational technology by offering a comprehensive overview of AI tool applications in English writing pedagogy. The findings provide valuable insights for educators, curriculum designers, and policymakers seeking to incorporate innovative strategies that support student writing development. Future research is recommended to empirically assess the long-term effectiveness of AI-assisted writing instruction across diverse learner populations and educational contexts.

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Published

2025-05-29