An Analysis Efl Students’ Linguistic Problems Using Grammarly As Automated Writing Evaluation Feedback

Apriani, Eka and Gusmuliana, Paidi and Cahyani, Yunita Dwi (2025) An Analysis Efl Students’ Linguistic Problems Using Grammarly As Automated Writing Evaluation Feedback. Sarjana thesis, INSTITUT AGAMA ISLAM NEGERI CURUP.

Text
Yunita - Fulltext.pdf - Accepted Version
Download (3MB)

Abstract

ABSTRACT Yunita Dwi Cahyani, 2025 : An Analysis EFL Students’ Lingusitic Problems Using Grammarly As Automated Writing Evaluation Feedback Advisor : Dr. Eka Apriani, M.Pd. Co-Advisor : Dr. Paidi Gusmuliana, M.Pd. This study investigates the linguistic problems faced by EFL (English as a Foreign Language) students in their academic writing, utilizing Grammarly as an Automated Writing Evaluation (AWE) tool. The research aims to identify common linguistic errors and explore students' perspectives on Grammarly’s effectiveness in improving their writing. Employing a descriptive qualitative approach, the study involved document analysis and interviews with fourth-semester students from the English Tadris Study Program at IAIN Curup. The data collected through students' essays and their reflections on Grammarly's feedback were analyzed to pinpoint frequent issues such as linguistic problems. Findings revealed that students frequently encountered challenges in grammatical accuracy, word choice, consistency, and punctuation. Grammarly's automated feedback helped students identify and correct these errors, offering suggestions on tone, clarity, and style, which contributed to enhancing their writing proficiency. Furthermore, students acknowledged Grammarly’s real-time feedback and detailed explanations as beneficial for self-assessment and independent learning. However, some participants noted limitations in Grammarly’s feedback accuracy and context sensitivity. The study concludes that while Grammarly significantly aids in reducing linguistic errors and fostering writing improvement, it should be complemented with human guidance for nuanced and contextually appropriate feedback. The research provides valuable insights for educators on integrating technology with traditional writing instruction and suggests future studies on the long-term impact of AWE tools on EFL learners' writing development. Keywords: EFL Students, Linguistic Problems, Grammarly, Automated Writing Evaluation (AWE), Academic Writing, Self-Assessment.

Item Type:

Thesis (Sarjana)

Creators: