AI Literacy Scaffold for Argumentative Writing: Evidence from UiTM Kuala Pilah
DOI:
https://doi.org/10.24191/pvcz5h77Keywords:
Generative AI, AI literacy, Prompt literacy, argumentative writing, scaffolding, ESL undergraduatesAbstract
The educational field has long incorporated AI-powered tools, which makes it a necessity to investigate their roles in assisting tertiary learners in the language classroom. This study aims to answer the question of how UiTM Kampus Kuala Pilah learners perceive an AI English Learning Toolkit as a support tool in scaffolding them for argumentative writing. A quantitative survey has been conducted among 96 undergraduates who were registered for LCC113 English for Communicative Competence III course, which highlighted a consistent positive perception of the utilisation of the toolkit, which not only helps scaffold the learners' writing processes but also fosters their ability to integrate AI into their academic writing practices in a meaningful and responsible manner. Alongside that, the study noted that the participants may experience positive attitudes toward the integration of AI in future classrooms due to participants' experience with the toolkit. For a deeper and more thorough understanding on AI tools to scaffold English language writing skills, a suggestion for a future study is to integrate the qualitative methodology as well as pre-post tests conduction in order to demonstrate how a toolkit is able to reveal learners’ improvement through assessment and marks.
References
Abubakar, S., Jeilani, A., & Yusuf, M. (2025). The role of over-reliance on AI in the negative consequences of student learning: The moderating effects of ethical concerns and institutional policies. Cogent Education, 12(1). Article 2591503. https://doi.org/10.1080/2331186X.2025.2591503
Abuhamda, E. A., Ismail, I. A., & Bsharat, T. (2021). Understanding quantitative and qualitative research methods: A theoretical perspective for young researchers. International Journal of Research, 8(2), 71-87.
Aler Tubella, A., Mora-Cantallops, M., & Nieves, J. C. (2024). How to teach responsible AI in higher education: Challenges and opportunities. Ethics and Information Technology, 26(3). https://doi.org/10.1007/s10676-023-09733-7
Aliakbari, M., Barzan, P., & Sayyadi, M. (2025). Automated Feedback vs. Human Feedback: A Study on AI-Driven Language Assessment. AI and Tech in Behavioral and Social Sciences, 3(2), 113-126. https://doi.org/10.61838/kman.aitech.3.2.9
Budiyono, H., Marzuki, Pudjaningsih, W., Prastio, B., & Maulidina, A. (2025). Exploring Long-Term Impact of AI Writing Tools on Independent Writing Skills: A Case Study of Indonesian Language Education Learners. International Journal of Information and Education Technology, 15(5), 1003-1013. https://doi.org/10.18178/ijiet.2025.15.5.2306
Chen, J., Wang, S., & Lin, J. (2025). A survey on AI literacy for academic English writing among Chinese university learners. English Language Teaching, 18(11), 21–36. https://doi.org/10.5539/elt.v18n11p21
Gersten, R., Baker, S., & Lloyd, J. W. (2000). Designing High-Quality Research in Special Education. The Journal of Special Education. https://doi.org/10.1177/002246690003400101
Hazari, S. (2024). Justification and roadmap for Artificial Intelligence (AI) literacy courses in higher education. Journal of Educational Research and Practice, 14(1), 106–118. https://doi.org/10.5590/JERAP.2024.14.1.07
He, M. (2025). The Impact and Challenges of AI on Learners' Writing Skills - Take ChatGPT for example. 2nd International Conference on Language Research and Communication (ICLRC 2025), 220, 8. https://doi.org/10.1051/shsconf/202522004004
Ilyas, H., & Arifin, S. (2025). Critical Thinking In EFL Learners' Argumentative Writing: Manifestations and Challenges. Voices of English Language Education Society, 9(2), 358-371. http://dx.doi.org/10.29408/veles.v9i2.29656
Kim, J., Yu, S., Lee, S.-S., & Detrick, R. (2025). Learners’ Prompt Patterns and Its Effects in AI-assisted academic writing: Focusing on Learners’ Level of AI Literacy. Journal of Research on Technology in Education, 1-18. https://doi.org/10.1080/15391523.2025.2456043
Lombardi, T. E., & Holland-Minkley, A. M. (2017). Educators as Clinicians: Small Data for Education Research (pp. 277–293). Springer, Cham. https://doi.org/10.1007/978-3-319-54226-3_16
Long, D., & Magerko, B. (2020). What is AI literacy? Competencies and design considerations. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (pp. 1–16). Association for Computing Machinery. https://doi.org/10.1145/3313831.3376727
Ngoc, T. H., Ngan, T. L., & Uyen, B. T. (2025). AI Tools in Learning Academic Writing: Benefits and Challenges for MA Learners in the English Language Studies at the Industrial University of Ho Chi Minh City. International Journal of AI in Language Education, 2(1), 74-91. https://doi.org/10.54855/ijaile.25215
Nyakora, M., & Dickson, M. (2025). Developing AI Literacy as a Core Competency for Future Leaders. International Journal of Research and Innovation in Social Science (IJRISS), 1723-1726. https://dx.doi.org/10.47772/IJRISS.2025.914MG00129
Sazali, N. S., Rosaidi, N., Mohd Radzi, N., Rastom , R., & Nayan, S. (2025). Exploring The Impacts of AI Usage In English Language Learning. International Journal of Modern Education, 7(25). https://doi.org/10.35631/IJMOE.725028
Tian, J., & Zhang, R. (2025). Learners’ AI dependence and critical thinking: The psychological mechanism of fatigue and the social buffering role of AI literacy. Elsevier, 1-9. https://doi.org/10.1016/j.actpsy.2025.105725
Vieriu, M. A., & Petrea, G. (2025). The Impact of Artificial Intelligence (AI) on Learners’ Academic Development. Education Sciences, 15(3), 343. https://doi.org/10.3390/educsci15030343
Wan Hamedi, W., Awang Ali, F. D., Abdullah, W., Hamid Ab, H., Mohammad Shuhaimi, N., & Mohamad Amir , M. (2025). AI as a Digital Scaffold: An Integrative Review of Vygotsky's Zone of Proximal Development in Modern Education. International Journal of Modern Education (IJMOE), 7(26), 579-589. https//doi.org/10.35631/IJMOE.726038
Woo, D. J., Wang, D., Yung, T., & Guo, K. (2025). Effects of a prompt engineering intervention on undergraduate learners' AI self-efficacy, AI knowledge and prompt engineering ability: A mixed methods study. British Educational Research Journal, 52(2), 1442–1469. https://doi.org/10.1002/berj.70087
Yacoub, E. (2026). Rewriting the Curriculum: Integrating AI Prompt Engineering into EFL Writing Instruction. International Arab Journal of English for Specific Purposes, 9(1), 15-33. https://revues.imist.ma/index.php/IAJESP/article/view/63271/31825
Yanyan, N., & Zainol Abidin, M. (2025). Role of AI-Driven Personalization in Enhancing English Language Achievement among Vocational College Learners in China. International Journal of Advanced Research in Education and Society, 7(2), 472-481. https://asianscholarsnetwork.com/asnet-journals
Zhai, C., Wibowo, S., & Li, L. D. (2024). The Effects of Over Reliance on AI Dialogue Systems on Learners' Cognitive Abilities: A Systematic Review. Smart Learning Environments, 11(28), 1-37. https://doi.org/10.1186/s40561-024-00316-7
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