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I Made Agung Rai Antara
Triatma Mulya University
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Journal : Stilistika

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UTILIZING ARTIFICIAL INTELLIGENCE TO EVALUATE STUDENTS’ COMPETENCY IN WRITING SIMPLE PAST TENSE Antara, I Made Agung Rai; Anggreni, Ni Putu Yunik
Stilistika : Jurnal Pendidikan Bahasa dan Seni Vol. 12 No. 2 (2024): Stilistika: Jurnal Pendidikan Bahasa dan Seni
Publisher : Program Studi Pendidikan Bahasa Indonesia dan Daerah Universitas PGRI Mahadewa Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59672/stilistika.v12i2.3691

Abstract

Abstract The purpose of this study is to determine the application of artificial intelligence (Copilot) in evaluating student writing in writing simple past tense. The method of this research is qualitative. The data collection technique was carried out by collecting 5 student writings randomly. The data analysis technique was carried out with qualitative descriptive method. The results showed that the copilot was able to create a rubric used to evaluate students' writing in writing simple past tense. This rubric consists of several parts, namely content development, organization, grammar and mechanics, usage and style. The results showed that copilots were able to evaluate well, such as being able to identify topic coverage, relevance, paragraph structure, transitions, sentence structure, spelling and punctuation, verb tense consistency and word choice. The feedback provided by Copilot is able to describe writing errors well and in detail. Teachers are advised to utilize artificial intelligence in the learning process, especially in evaluating student writing. Teachers can explore the use of artificial intelligence and its capabilities in language learning so that they can work more easily and effectively. Teachers can integrate AI tools such as Copilot into the assessment process, particularly grammar and tenses. The developer of AI should continuously refine AI capability to give more sophisticated feedback on complex transitions and sentence structures. Keywords: Writing, artificial Inteliggence, Assesment
ANALYZING GRAMMATICAL ERRORS IN EFL STUDENTS' OPINION ESSAYS USING DEEPSEEK AI: PATTERNS AND PEDAGOGICAL IMPLICATIONS Antara, I Made Agung Rai; Anggreni, Ni Putu Yunik
Stilistika : Jurnal Pendidikan Bahasa dan Seni Vol. 13 No. 2 (2025): Stilistika: Jurnal Pendidikan Bahasa dan Seni
Publisher : Program Studi Pendidikan Bahasa Indonesia dan Daerah Universitas PGRI Mahadewa Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59672/stilistika.v13i2.4560

Abstract

This study aims to examine grammatical errors in opinion essays written by  Post-Intermediate Level students at the Bali International Language Centre (BILCEN) at Triatma Mulya University, utilising DeepSeek AI to discover error trends and offer strategic advice for educators. A qualitative analysis of 17 articles revealed 109 grammatical problems, predominantly characterised by article omission errors (42.2%), followed by subject-verb agreement (26.6%), preposition errors (17.4%), and tense inconsistencies (13.8%). The primary reasons for these errors encompass first-language interference and sentence fragmentation, indicative of the impact of Indonesian structures on English production. Examples include “work in a cruise ship” rather than “work on a cruise ship.” This study underscores the significance of a teaching methodology incorporating contrastive exercises, targeted feedback, and task design that balances fluency and accuracy. Strategic recommendations involve implementing exercises that juxtapose Indonesian and English structures and utilizing DeepSeek AI’s functionalities to provide comprehensive feedback. This study presents a novel approach for educators to tackle systematic grammatical issues in EFL students’ opinion writing. It underscores the potential of AI to enhance the precision of academic writing.
Co-Authors A.A. Putu Putra Anak Agung Putu Putra I Made Bayu Wisnawa I Nyoman Sedeng I Wayan, Induyoga Aditama Ni Putu Yunik Anggreni Noviasari, Wahyu RADITYA, I PUTU TIANA RADITYA Yunik Anggreni, Ni Putu