Exploring Higher Education EFL Students’ Perception of AI Writing Tools in the 5.0 Era

Authors

  • Muliana Safitri Universitas Islam Negeri Sumatera Utara
  • Rahmah Fithriani Universitas Islam Negeri Sumatera Utara

DOI:

https://doi.org/10.37329/cetta.v7i1.3158

Keywords:

EFL Students, Higher Education, Artificial Intelligence Writing Tools (AIWTs)

Abstract

This study explores the perceptions of English as a Foreign Language (EFL) students in higher education regarding artificial intelligence writing tools (AIWTs) in the context of Era 5.0. The research aims to understand how AIWTs influence writing quality, efficiency, and creativity among EFL students. Employing a mixed-methods approach, it examines the types of AIWTs used, students' perspectives on their benefits and drawbacks, and the overall value they bring to EFL writing. A total of twenty students from the English education study program at the State Islamic University of North Sumatra, Medan, participated in an online questionnaire aimed at investigating their perceptions on the use of AIWTs in Era 5.0. The findings highlight that EFL students perceive AIWTs as beneficial for enhancing writing quality, speeding up the writing process, and fostering creativity. However, concerns about potential limitations on creativity are also expressed. Despite this, AIWTs are generally regarded as valuable tools for EFL students in higher education. The study offers a reasonable strategy for using AIWTs to guarantee academic performance while maintaining writing creativity.

References

Adams, D., & Chuah, K.-M. (2023). Artificial Intelligence-Based Tools in Research Writing. Current Trends and Future Potentials. In Artificial Intelligence in Higher Education; A Practical Approach (Vol. 1).

Chang, T. S., Li, Y., Huang, H. W., & Whitfield, B. (2021). Exploring EFL Students’ Writing Performance and Their Acceptance of AI-based Automated Writing Feedback. ACM International Conference Proceeding Series, (August), 31–35.

Coenen, A., Davis, L., Ippolito, D., Reif, E., & Yuan, A. (2021). Wordcraft: a Human-AI Collaborative Editor for Story Writing. (2019). Retrieved from http://arxiv.org/abs/2107.07430

Hosseini, M., Rasmussen, L. M., & Resnik, D. B. (2023). Using AI to write scholarly publications. Accountability in Research, 00(00), 1–9.

Hz, B. I. R., Laiya, R. E., Sarumaha, M. S., & Supiyandi. (2023). Navigating English Writing Proficiency Tests in the Era of Artificial Intelligence. Journal of English Education and Teaching, 7(3), 480–498. https://doi.org/10.33369/jeet.7.3.480-498

Kim, N. J., & Kim, M. K. (2022). Teacher’s Perceptions of Using an Artificial Intelligence-Based Educational Tool for Scientific Writing. Frontiers in Education, 7, 1–13.

Kurniati, E. Y., & Fithriani, R. (2022). Post-Graduate Students’ Perceptions of Quillbot Utilization in English Academic Writing Class. Journal of English Language Teaching and Linguistics, 7(3), 437.

Liu, Y., Mittal, A., Yang, D., & Bruckman, A. (2022). Will AI Console Me when I Lose my Pet? Understanding Perceptions of AI-Mediated Email Writing. Conference on Human Factors in Computing Systems - Proceedings.

Liu, Z. (2021). Sociological perspectives on artificial intelligence: A typological reading. Sociology Compass, 15(3), 1–13.

Lund, B. D., & Wang, T. (2023). Chatting about ChatGPT: how may AI and GPT impact academia and libraries? Library Hi Tech News, 40(3), 26–29.

Marzuki, Widiati, U., Rusdin, D., Darwin, & Indrawati, I. (2023). The impact of AI writing tools on the content and organization of students’ writing: EFL teachers’ perspective. Cogent Education, 10(2).

Nobles, S., & Paganucci, L. (2015). Do Digital Writing Tools Deliver? Student Perceptions of Writing Quality Using Digital Tools and Online Writing Environments. Computers and Composition, 38, 16–31.

Qadir, J. (2023). Engineering Education in the Era of ChatGPT: Promise and Pitfalls of Generative AI for Education. IEEE Global Engineering Education Conference, EDUCON, 2023-May.

Song, C., & Song, Y. (2023). Enhancing academic writing skills and motivation: assessing the efficacy of ChatGPT in AI-assisted language learning for EFL students. Frontiers in Psychology, 14(December), 1–14.

Syahnaz, M., & Fithriani, R. (2023). Utilizing Artificial Intelligence-based Paraphrasing Tool in EFL Writing Class: A Focus on Indonesian University Students’ Perceptions. Scope : Journal of English Language Teaching, 7(2), 210.

Thorp, H. H. (2023). ChatGPT is fun, but not an author. Science, 379(6630), 313–313.

Wang, Z. (2022). Computer-assisted EFL writing and evaluations based on artificial intelligence: a case from a college reading and writing course. Library Hi Tech, 40(1), 80–97.

Woo, D. J., Susanto, H., Yeung, C. H., Guo, K., & ... (2023). Exploring AI-Generated Text in Student Writing: How Does AI Help? ArXiv Preprint ArXiv …, (March), 1–43.

Yin, R. K. (2018). Case study research and applications: Design and methods. In Journal of Hospitality & Tourism Research (Vol. 53).

Zhao, X. (2023). Leveraging Artificial Intelligence (AI) Technology for English Writing: Introducing Wordtune as a Digital Writing Assistant for EFL Writers. RELC Journal, 54(3), 890–894.

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Published

01-04-2024

How to Cite

Safitri, M., & Fithriani , R. (2024). Exploring Higher Education EFL Students’ Perception of AI Writing Tools in the 5.0 Era. Cetta: Jurnal Ilmu Pendidikan, 7(1), 267–276. https://doi.org/10.37329/cetta.v7i1.3158

Issue

Vol. 7 No. 1 (2024)

Section

Articles

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Copyright (c) 2024 Muliana Safitri, Rahmah Fithriani

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