English Education Students’ Perceptions of Using ChatGPT for Grammar Correction in Academic Writing at Universitas Negeri Padang

Authors

  • Vemi Arman Universitas Negeri Padang Author
  • Rizaldy Hanifa Universitas Negeri Padang Author

DOI:

https://doi.org/10.24036/pqkaxy34

Keywords:

ChatGPT; Grammar Correction; Academic Writing; Technology Acceptance Model; Student Perceptions

Abstract

This study examines English Education students' perceptions of using ChatGPT as a grammar correction tool in academic writing at Universitas Negeri Padang. Employing a descriptive quantitative design with a survey method, the study investigated students' perceptions through the Technology Acceptance Model (TAM) framework, which encompasses four constructs: Perceived Usefulness, Perceived Ease of Use, Behavioral Intention, and Actual Use. The participants were 217 undergraduate students from the class of 2022 who had completed academic writing courses and had prior experience using ChatGPT. Data were collected using a 20-item questionnaire with a four-point Likert scale and analyzed using descriptive statistical analysis with SPSS version 27. The findings revealed that students held very positive perceptions across all four TAM indicators: Perceived Usefulness (mean = 3.33), Perceived Ease of Use (mean = 3.38), Behavioral Intention (mean = 3.11), and Actual Use (mean = 3.38), with an overall mean of 3.30, categorized as very positive. Students particularly valued ChatGPT's effectiveness in correcting grammatical errors, improving writing quality, and providing immediate feedback. However, concerns emerged regarding over-reliance on AI tools, potential inaccuracies in complex academic contexts, and issues related to academic integrity. The study concludes that ChatGPT has considerable potential as a supportive tool for improving grammatical accuracy and writing efficiency among English Education students, though thoughtful integration with pedagogical guidance remains essential for maximizing its benefits while fostering independent learning and upholding academic integrity.

References

Abumalik, A. M. (2025). From assistance to over-reliance: Rethinking ChatGPT's role in grammar learning. Bilingual Publishing Group, 7(8), 523-539.

Adhikari, S., & Dhakal, B. (2023). Revolutionizing natural language processing with GPT-based chatbots: A review. Nepal Engineers' Association, Gandaki Province, Technical Journal, 109-120.

Alalwan, A., Dwivedi, Y., Rana, N., & Williams, M. (2016). Consumer adoption of mobile banking in Jordan. Journal of Enterprise Information Management, 29(1), 118-139.

Andleeb, M., Tasra, A., Khatoon, S., & Mazhar, D. (2025). The role of English grammar in developing writing skills: A theoretical perspective. International Journal of English Literature and Social Sciences, 10(1), 252-256.

Andrés, C., Urzúa, C., Ranjan, R., Saavedra, E., Badilla-Quintana, M. G., Lepe-Martínez, N., & Philominraj, A. (2025). Effects of AI-assisted feedback via generative chat on academic writing in higher education students: A systematic review of the literature. Education Sciences, 1-16.

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340.

Deep, P. Das, & Chen Yixin. (2025). The role of AI in academic writing: Impacts on writing skills, critical thinking, and integrity in higher education. Societies, 15(247), 1-19.

Dinh, C. T. (2025). Undergraduate English majors' views on ChatGPT in academic writing: Perceived vocabulary and grammar improvement. FWU Journal of Social Sciences, 19(1), 1-11.

Ekizoğlu, M., & Nesil Demir, A. (2025). The role of AI-assisted writing feedback in developing secondary students' writing skills. Discover Education, 1-16.

Fuchs, K. (2022). Using an extended technology acceptance model to determine students' behavioral intentions toward smartphone technology in the classroom. Frontiers in Education, 1-10.

Gliem, J., & Gliem, R. R. (2015). Calculating, interpreting, and reporting Cronbach's alpha reliability coefficient for Likert-type scales. Journal of Behavioural Economics, Finance, Entrepreneurship, Accounting and Transport, 3(3), 96-109.

Gustilo, L., Ong, E., & Lapinid, M. R. (2024). Algorithmically-driven writing and academic integrity: Exploring educators' practices, perceptions, and policies in AI era. International Journal for Educational Integrity, 20(1), 1-43.

Hikmah. (2025). Common grammatical errors in students' writing: A qualitative error-analysis study. International Journal of Applied Linguistics, 5(4), 3053-3056.

Hinkel, E. (2004). Tense, aspect and the passive voice in L1 and L2 academic texts. Language Teaching Research, 1, 5-29.

Huyen, T. T., & Khuyen, T. M. (2025). First-year English majors' perceptions of common grammatical errors in paragraph writing at Nam Can Tho University, Vietnam. European Journal of English Language Teaching, 10(3), 27-49.

Jaya, N. M., Jabri, U., & Mustakim. (2025). Challenges in grammar learning among EFL students: A case study of an Indonesian university. Scope of English Language Teaching, Literature and Linguistics, 8(1), 16-27.

Jaya, S., Susyla, D., & Melati. (2025). Developing syntactic complexity and accuracy in EFL students' essays through sentence combining. Indonesian Journal of Educational Development, 6(2), 408-421.

Jik Lee, Y., Davis, R. O., & Lee, S. O. (2024). University students' perceptions of artificial intelligence-based tools for English writing courses. Online Journal of Communication and Media Technologies, 14(4).

Karagoz, M. (2025). AI-generated feedback and learner reflective engagement in EFL writing. Language Learning & Technology, 29(1), 45-62.

Kasneci, E., Seßl er, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., & Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103, 102274.

Khider, A., & Othman, Z. (2025). EFL students' perceptions on using ChatGPT as an AI tool for developing academic writing skills: A case study at University College of Haql. Journal of Language Teaching and Research, 16(1), 212-225.

Li, Y. (2024). Perception and its role in language learning. Journal of Educational Psychology, 116(2), 45-60.

Lubis, A. H., Sinaga, O., & Silalahi, D. (2025). Students' perception towards ChatGPT for academic writing at English Study Program FKIP Universitas Riau. Journal of English Teaching and Applied Linguistics, 7(1), 1-15.

Mahapatra, S. (2024). AI in EFL writing instruction: Effectiveness of ChatGPT feedback. Computer Assisted Language Learning, 37(3), 501-524.

Mondal, A. (2022). Perception: Psychological processes and language learning. ELT Journal, 76(2), 215-228.

Mun, S. (2024). EFL learners' English writing feedback and their perception of using ChatGPT. ReCALL, 36(2), 150-168.

Nassaji, H., Fotos, S., & Kartchava, E. (2021). Teaching grammar in context: New approaches and techniques. Language Teaching Research, 25(1), 1-20.

Ni, Y. (2018). The use of noun phrases in academic writing. Journal of English for Academic Purposes, 31, 45-58.

Roumeliotis, K. I., & Tselikas, N. D. (2023). ChatGPT and OpenAI models: A preliminary review. Department of Informatics and Telecommunications, University of Peloponnese.

Saengboon, S., & Panyaatisin, P. (2022). Grammar in EFL contexts: Principles and practices. TEFLIN Journal, 33(1), 91-110.

Schmid, E., & Fajlik, K. (2023). ChatGPT versus traditional grammar checkers: A comparative analysis. CALICO Journal, 40(2), 123-140.

Swales, J. M., & Feak, C. B. (2012). Academic writing for graduate students (3rd ed.). University of Michigan Press.

Syafika, N., & Antonio, R. (2024). Technology acceptance in EFL contexts: TAM revisited. CALL-EJ, 25(1), 44-59.

Taherdoost, H., Sahibuddin, S., & Jalaliyoon, N. (2016). Exploratory factor analysis: Concepts and theory. Advances in Applied and Pure Mathematics, 375-382.

Tiwari, P. (2023). Grammar errors and academic writing proficiency: An analysis. International Journal of Applied Linguistics, 33(4), 401-415.

Venkatesh, V., & Bala, H. (2008). Technology acceptance model 3 and a research agenda on interventions. Decision Sciences, 39(2), 273-315.

Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478.

Wang, J., & Fan, Y. (2025). Positive and negative perceptions in digital learning environments. Educational Technology Research and Development, 73(1), 55-78.

Watcharapunyawong, S., & Usaha, S. (2013). Thai EFL students' writing errors in different text types. RELC Journal, 44(2), 169-188.

Zahidah, N., & Noor, M. (2025). AI writing tools and grammatical accuracy in EFL learners. Language Learning & Technology, 29(2), 80-98.

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Published

14.05.2026

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How to Cite

English Education Students’ Perceptions of Using ChatGPT for Grammar Correction in Academic Writing at Universitas Negeri Padang. (2026). Journal of English Language Teaching (JELT), 15(1), 1-14. https://doi.org/10.24036/pqkaxy34

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