Work

Investigating EFL students’ linguistic problems using Grammarly as automated writing evaluation feedback

Year: 2022

Type: article

Abstract: A plethora of previous studies has shown that corrective feedback can benefit students to progress in their learning. Due to technological advancement, there is a need to investigate the profile of corrective feedback to students’ writing via automated writing evaluation (AWE), particularly in the Indonesian higher education context. Therefore, this research aims to employ an AWE platform, Grammarly, to investigate the Indonesian English as a foreign language (EFL) students’ writing profiles in spelling, grammar, punctuation, enhancement suggestion, sentence structure, and style check. This ex post facto study explored the assignment written by 54 fourth-semester English department students enrolled in an academic writing course at an Indonesian university. The students’ writing profiles were classified, identified, and categorized using the Grammarly platform. Descriptive statistics were used to obtain the average, standard deviation, and significant differences according to the writing profiles between male and female students. The result stated that grammar is the major problem possessed by students. Furthermore, teachers are expected to provide online corrective feedback for students in the Academic Writing course learning process.

Source: Indonesian Journal of Applied Linguistics

DOI: 10.17509/ijal.v12i1.46428

Authors: Anna Riana Suryanti Tambunan, Widya Andayani, Winda Setia Sari, Fauziah Khairani Lubis

Institution: State University of Medan

Language: English

Topic: EFL/ESL Teaching and Learning

Subfield: Language and Linguistics

Field: Arts and Humanities

Domain: Social Sciences

SDG: Quality education

Open Access status: gold

Estimated APC paid: $350