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All Journal English Language Teaching Educational Journal Jurnal Wahana Pendidikan
Binar Winantaka, Binar
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Arts Education Languange, Linguistic, Communication & Media Other

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Journal : English Language Teaching Educational Journal

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Automated writing evaluation tools in Business English Writing: An experimental study among Indonesian undergraduates Winantaka, Binar; Efendi, Anwar; Putro, Nur Hidayanto Pancoro Setyo
English Language Teaching Educational Journal Vol. 9 No. 1 (2026)
Publisher : Universitas Ahmad Dahlan

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Abstract

Business English writing competence is increasingly critical for Indonesian university graduates navigating global professional environments, yet many students continue to experience persistent difficulties with grammar, coherence, and professional register. Automated Writing Evaluation (AWE) tools such as Grammarly and Grammark provide immediate, data-driven feedback that may support writing development beyond surface-level error correction (Barrot, 2021; Calma et al., 2022). This quasi-experimental study examined whether AWE integration in a Business English writing course improved Indonesian undergraduates' perceived usefulness, ease of use, motivation, self-regulated learning (SRL), and writing self-efficacy (WSE), relative to conventional instructor feedback. Sixty undergraduate students were randomly assigned to an AWE group (n = 30) or a control group (n = 30). A validated 38-item Likert questionnaire and open-ended reflective prompts were administered post-intervention. Three key findings emerged: (1) AWE significantly enhanced perceived usefulness (d = 2.92) and ease of use (d = 2.74); (2) motivation, self-regulated learning, and writing self-efficacy increased substantially in the AWE group; and (3) students unanimously recommended a hybrid AWE–teacher feedback model to address AWE's limitations in higher-order writing development (Thi & Nikolov, 2022). These findings suggest that AWE integration holds considerable promise for Indonesian EFL Business English instruction, particularly when systematically complemented by expert human feedback.
Co-Authors Andika, Jeffri Dian Anwar Efendi Margana Margana Mat Shawal, Bazilah Raihan Nur Hidayanto Pancoro Setyo Putro Rozanah Katrina Herda, Rozanah Katrina Subekti, Mutiara Angelina Octavia Suni, Fauziyyah Mufida Syafruddin Syafruddin