The Use of Artificial Intelligence Tools in Assessing English Writing Accuracy

Norpoʻlatova Nozima Yusufxon qizi

Uzbekistan State World languages university

Keywords: Keywords: artificial intelligence, automated writing evaluation, EFL learners, writing accuracy, feedback, language assessment, educational technology.

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Abstract

Abstract: This article explores the use of artificial intelligence (AI) tools in assessing English writing accuracy among EFL learners. With the rapid advancement of AI technology, educational applications such as automated writing evaluation (AWE) systems have become increasingly popular. These tools provide immediate feedback on grammar, vocabulary, punctuation, and overall writing coherence. The study examines the benefits and limitations of AI-based assessment, focusing on its role in enhancing learner autonomy, improving writing accuracy, and supporting teachers in large classrooms. Evidence from recent research and classroom applications indicates that AI tools can significantly improve feedback efficiency, promote self-correction, and help learners develop linguistic precision, though human oversight remains crucial for assessing creativity, context, and discourse-level quality.

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References

1. Bai, B., & Hu, G. (2021). The effectiveness of automated writing evaluation in EFL contexts: A meta-analysis. Language Learning & Technology, 25(3), 45–63. https://doi.org/10.1016/j.langtech.2021.03.002

2. Heil, C. R., Wu, J. S., & Lee, J. (2019). Artificial intelligence in education: Applications and challenges. Educational Technology Research and Development, 67(4), 915–938. https://doi.org/10.1007/s11423-019-09654-0

3. Li, Z., & Hegelheimer, V. (2013). Mobile-assisted grammar exercises: Effectson self-editing in L2 writing. Language Learning & Technology, 17(3), 135–156.

4. Burstein, J., Chodorow, M., & Leacock, C. (2004). Automated essay evaluation: The Criterion online writing service. AI Magazine, 25(3), 27–36.

5. Attali, Y., & Burstein, J. (2006). Automated essay scoring with e-rater® V.2. Journal of Technology, Learning, and Assessment, 4(3), 1–30.

6. ., [04.11.2025 20:36]

7. Chiu, T. K., & Hew, K. F. (2018). Factors influencing students’ use of AI-based writing tools: Evidence from higher education. Computers & Education, 127, 21–36. https://doi.org/10.1016/j.compedu.2018.08.005

8. Wang, Y., & Brown, G. T. L. (2019). Assessment in second language writing: Technology-assisted approaches. Language Assessment Quarterly, 16(1), 1–12. https://doi.org/10.1080/15434303.2018.1530638