Nowo Triwayatno
Universitas PGRI Adi Buana Surabaya

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ENHANCING STUDENTS’ ENGLISH ESSAY WRITING PROFICIENCY AI-BASED AUTOMATIC FEEDBACK SYSTEMS Nowo Triwayatno; Nico Irawan; Abd Ghofur; Agung Pramujiono
Jurnal Penelitian Humaniora Vol. 26 No. 1 (2025): Vol 26, No 1: February 2025
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/humaniora.v26i1.9041

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.