THE EFFECTIVENESS OF AI-BASED Grammarly FOR LEARNING ENGLISH GRAMMAR IN HIGHER EDUCATION

Authors

  • Endang Trirezeki Universitas Muhammadiyah Mataram
  • Ilham Universitas Muhammadiyah Mataram
  • Irwandi Universitas Muhammadiyah Mataram

DOI:

https://doi.org/10.23969/jp.v11i02.44197

Keywords:

Grammarly, artificial intelligence, grammar learning, higher education

Abstract

This study investigates the effectiveness of AI-based Grammarly in improving English grammar learning among higher education students. A quantitative quasi-experimental design was employed involving two groups of undergraduate students: semester 3 students (n = 24) and semester 5 students (n = 28). Both groups were given a grammar pre-test, followed by instructional treatment using Grammarly, and a post-test after the intervention. The data were analyzed using descriptive statistics and paired sample t-tests. The results indicate that Grammarly significantly improved students’ grammar performance in both groups. These findings suggest that AI-based writing tools can be an effective supplementary resource for grammar learning in higher education.

Keywords: Grammarly, artificial intelligence, grammar learning, higher education

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References

Alam, A. (2023). ChatGPT and artificial intelligence in higher education: Implications for teaching, learning, and assessment. International Journal of Educational Technology in Higher Education, 20(1), 1–17. https://doi.org/10.1186/s41239-023-00385-7

Bai, L., Hu, G., & Gu, P. (2024). Automated written corrective feedback and EFL learners’ grammatical accuracy. System, 118, 103060. https://doi.org/10.1016/j.system.2023.103060

Barrot, J. S. (2024). Artificial intelligence in second language writing: Opportunities, challenges, and pedagogical implications. Computer Assisted Language Learning, 37(1–2), 1–27. https://doi.org/10.1080/09588221.2023.2258254

Crompton, H., Burke, D., & Gregory, K. H. (2023). Artificial intelligence in education: A critical systematic literature review. Educational Technology Research and Development, 71(2), 505–534. https://doi.org/10.1007/s11423-022-10176-4

Hockly, N. (2023). Artificial intelligence in language education: Implications for teaching and learning. ELT Journal, 77(4), 402–415. https://doi.org/10.1093/elt/ccad020

Kohnke, L., Zou, D., & Zhang, R. (2024). Exploring students’ use of AI-powered writing tools in EFL contexts. ReCALL, 36(1), 1–17. https://doi.org/10.1017/S095834402300014X

Koltovskaia, S. (2024). Learner engagement with automated written corrective feedback: The case of Grammarly. Language Learning & Technology, 28(1), 1–19. https://doi.org/10.55593/llt.28.1.1

Li, J., & Hafner, C. A. (2023). Scaffolding learner autonomy through AI-assisted writing feedback. Journal of English for Academic Purposes, 62, 101163. https://doi.org/10.1016/j.jeap.2023.101163

Lu, X., & Hu, G. (2024). The impact of automated feedback on second language grammar development. Language Teaching Research, 28(2), 356–374. https://doi.org/10.1177/13621688221137891

O’Neill, R., & Russell, A. (2023). The role of automated feedback tools in second language writing instruction. Journal of Second Language Writing, 60, 100964. https://doi.org/10.1016/j.jslw.2023.100964

Qin, L., & Wang, S. (2023). Artificial intelligence–supported grammar instruction in EFL classrooms. Asia-Pacific Education Researcher, 32(6), 739–750. https://doi.org/10.1007/s40299-023-00696-8

Sun, Y., Steinkrauss, R., & De Bot, K. (2024). Technology-mediated feedback and L2 writing development in higher education. Journal of Second Language Writing, 64, 101050. https://doi.org/10.1016/j.jslw.2024.101050

Zawacki-Richter, O., Bond, M., Marin, V. I., & Gouverneur, F. (2023). Systematic review of research on artificial intelligence applications in higher education. International Journal of Educational Technology in Higher Education, 20(1), 1–28. https://doi.org/10.1186/s41239-023-00396-4

Zhai, X., & Xie, J. (2023). Artificial intelligence–based feedback in higher education: A systematic review. Educational Technology Research and Development, 71(4), 1905–1932. https://doi.org/10.1007/s11423-023-10201-9

Zhang, H., Dai, J., & Ardasheva, Y. (2023). Learner engagement with automated writing evaluation systems. Computers & Education, 195, 104688. https://doi.org/10.1016/j.compedu.2023.1046882

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Published

2026-04-04