ENHANCING STUDENTS’ ENGLISH ESSAY WRITING PROFICIENCY AI-BASED AUTOMATIC FEEDBACK SYSTEMS

This study investigates the effectiveness of AI-based automatic feedback systems in enhancing students’ English essay writing proficiency. Utilizing a descriptive quantitative research approach, data was collected through pre-test and post-test assessments, surveys, and usage statistics of AI feedback tools. Findings reveal a significant improvement in students' writing proficiency, with an average score increase of 19.8 points. The study identifies grammar and sentence structure as the most frequently revised aspects, with a high rate of AI feedback implementation among students. A strong positive correlation (r = 0.73) was observed between AI feedback usage frequency and writing improvement. The study concludes that AI-based feedback systems are crucial in refining students' writing skills and recommends structured integration of these tools into English writing curricula.

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Publication Details

Journal
Jurnal Penelitian Humaniora
Published
2025-03-27
DOI
https://doi.org/10.23917/jph.v26i1.9041
Citations
1
Primary Topic
Educational Technology and Assessment
Type
article
Field-Weighted Citation Impact
3.25
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article

ENHANCING STUDENTS’ ENGLISH ESSAY WRITING PROFICIENCY AI-BASED AUTOMATIC FEEDBACK SYSTEMS

Agung Pramujiono, Abd. Ghofur, Nico Irawan, Nowo Triwayatno
1 citations
Jurnal Penelitian Humaniora
Educational Technology and Assessment
3.25
article

ENHANCING STUDENTS’ ENGLISH ESSAY WRITING PROFICIENCY AI-BASED AUTOMATIC FEEDBACK SYSTEMS

Agung Pramujiono, Abd. Ghofur, Nico Irawan, Nowo Triwayatno
article en
1 citations

Abstract

This study investigates the effectiveness of AI-based automatic feedback systems in enhancing students’ English essay writing proficiency. Utilizing a descriptive quantitative research approach, data was collected through pre-test and post-test assessments, surveys, and usage statistics of AI feedback tools. Findings reveal a significant improvement in students' writing proficiency, with an average score increase of 19.8 points. The study identifies grammar and sentence structure as the most frequently revised aspects, with a high rate of AI feedback implementation among students. A strong positive correlation (r = 0.73) was observed between AI feedback usage frequency and writing improvement. The study concludes that AI-based feedback systems are crucial in refining students' writing skills and recommends structured integration of these tools into English writing curricula.

Jurnal Penelitian Humaniora
Universitas PGRI Semarang (ID), Universitas PGRI Adi Buana Surabaya
Openalex Percentile: Top 9%
Educational Technology and Assessment
3.25
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ENHANCING STUDENTS’ ENGLISH ESSAY WRITING PROFICIENCY AI-BASED AUTOMATIC FEEDBACK SYSTEMS — Agung Pramujiono, Abd. Ghofur, et al. · Jurnal Penelitian Humaniora (2025) | TGRS Research Map | TGRS