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All Journal JELLT (Journal of English Language and Language Teaching) Multidiciplinary Output Research for Actual and International Issue (Morfai Journal) Abdimas Terapan: Jurnal Pengabdian Kepada Masyarakat Terapan Jurnal Padamu Negeri
Didik Hariyadi Raharjo
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Religion Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Public Health Social Sciences Other

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Journal : JELLT (Journal of English Language and Language Teaching)

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Identifying Grammarly Automated Writing Evaluation and Self-Editing by Administrative Officer Rizky Eka Prasetya; Didik Hariyadi Raharjo; Sofiani, Fenti
JELLT (Journal of English Language and Language Teaching) Vol 8 No 1 (2024)
Publisher : Universitas Sarjanawiyata Tamansiswa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36597/jellt.v8i1.14153

Abstract

Automated writing evaluation (AWE) tools have been extensively used in foreign language writing classrooms, and their use has been progressively expanding recently. The study investigates an overview of Grammarly’s Automated Writing Evaluation (AWE). The research employed a quasi-experimental, comparative design with convenience sampling to assess the effects of Grammarly on the automated writing evaluation and self-editing of 56 administrative officers. The findings demonstrate that Grammarly’s AWE editing groups produced many better-written outputs. Grammarly’s AWE editing and self-editing experimental groups outperformed the control groups that did not engage in Grammarly’s AWE software. The level and complexity of the impact articles written by experimental groups are much more significant. The comparison was made between automated and non-automated editing. It demonstrates the existence of a considerable advantage for AWE editing. There were statistically significant changes in favor of the post-test between the pretest and post-test mean scores for both groups. These outcomes may be clarified with the software’s contribution. There is no difference between the experimental groups that are statistically significant. This result corresponds with whether there is a substantial difference in the effects on the writings of Grammarly’s AWE and self-editing experimental groups.
Co-Authors Achmad Nurfikri Alamsyah Ahmad Aldizar Akbar Bambang Yudi Permana Fathin Aulia Rahman Fenti Sofiani Hamidah Dwiningtias Hasrian Hasrian M.Aji Bimantara Mohamad Rizky Muyassar Prasetya, Rizky Eka Taqwa Putra Budi Purnomo Sidi Hiram