Analyzing the Effectiveness of AI Tools in Academic Writing for ESL Learners

ESl

Authors

  • Hina Rani department of English, University of karachi Author
  • Muhammad Imran PhD Scholar, Department of Education, SZABIST University, Karachi, Pakistan Author
  • Dr. Najmonnisa Khan Associate Professor & Head, Department of Education, SZABIST University, Karachi, Pakistan Author

Keywords:

Academic Writing, AI Tools, ESL Learners, Mixed Methods, Writing Improvement

Abstract

Introduction: Many ESL learners are now using AI tools such as Grammarly, QuillBot and ChatGPT for academic writing. AI-powered features, such as grammar correction, vocabulary enrichment, and content organization, are available to users.

Research Objective: The purpose of this study was to evaluate how AI writing tools affect the academic writing performance of ESL university students.

Methodology: Mixed-method design involved 60 ESL students who were either allocated experimental group or control group. In the experimental group, the respondents received a four-week writing intervention through the use of AI tools, whereas the control group proceeded with their routine work on assignments. The quantitative measure used was writing performance before intervention and after intervention and qualitative data were obtained using interviews to explain the perceptions of the learners.

Results: The experimental group recorded a huge boost in their confidence and interest as they scored their answers. According to qualitative results, the usage of AI had both advantages and threats, such as overdependence.

Conclusion: One can write in English as a second language with the provision of AI tools, but with a critical approach. Improved educational performances are promoted by reflective participation and guided learning.

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Published

2025-07-24

How to Cite

Analyzing the Effectiveness of AI Tools in Academic Writing for ESL Learners: ESl. (2025). Journal of Digital Transformation and Technology, 3(1). https://edutechresourcegroup.com/ojs/index.php/JETDT/article/view/3