Volume 4,Issue 6
Linguistic and Stylistic Over-Elaboration in AI-Permitted Arabic Writing Tasks: Evidence from Beginner Learners
This study examines linguistic and stylistic over-elaboration in beginner Arabic writing produced during a classroom task permitting generative artificial intelligence (GenAI) and electronic translation. The study emerged from an Arabic language course involving undergraduate accounting students at Universiti Teknologi MARA (UiTM), Terengganu Branch, Malaysia. Students were instructed to write a simple birthday invitation addressed to friends, using accessible vocabulary and including specified invitation elements. During the review of approximately 100 submissions, the instructor observed recurring instances of vocabulary, courtesy expressions, and sentence formulations that appeared more sophisticated or formal than expected for the learners' proficiency and the task's communicative purpose. Adopting an exploratory qualitative approach, the study draws on these professional classroom observations, supplemented by the direct examination of three available invitation texts. The analysis considers lexical overreach, stylistic over-elaboration, unnecessary syntactic complexity, register mismatch, and learner-level appropriateness. The findings highlight a pedagogical distinction between linguistic correctness and the suitability of written expression for a beginner's level and communicative situation. They also suggest that apparently sophisticated writing should not automatically be interpreted as evidence of independent linguistic proficiency. Because individual tool use and writing processes were not documented, the study does not attribute particular expressions to GenAI or establish causal effects.
[1] Biber D, Conrad S, 2009, Register, genre, and style, Cambridge University Press. https://doi.org/10.1017/CBO9780511814358.
[2] Connor U, 1996, Contrastive rhetoric: Cross-cultural aspects of second-language writing, Cambridge University Press.
[3] Hinkel E, 2020, Teaching academic L2 writing: Practical techniques in vocabulary and grammar (2nd ed.), Routledge.
[4] Taguchi N, 2015, Instructed pragmatics at a glance: Where instructional studies were, are, and should be going. Language Teaching, 2015(1): 1–50. https://doi.org/10.1017/S0261444814000263.
[5] Guo K, Li D, 2024, Understanding EFL students' use of self-made AI chatbots as personalized writing assistance tools: A mixed methods study. System, 2024(124): 103362. https://doi.org/10.1016/j.system.2024.103362.
[6] Ou AW, Khuder B, Franzetti S, et al., 2024, Conceptualising and cultivating critical GAI literacy in doctoral academic writing. Journal of Second Language Writing, 2024(66): 101156. https://doi.org/10.1016/j.jslw.2024.101156.
[7] Alyasin A, Shah MA, 2026, Human-AI collaboration in academic writing: Exploring university students' agency through a sociocultural lens. Ampersand, 2026(16): 100256. https://doi.org/10.1016/j.amper.2026.100256.
[8] Han J, Li M, 2024, Exploring ChatGPT-supported teacher feedback in the EFL context. System, 2024(126): 103502. https://doi.org/10.1016/j.system.2024.103502.
[9] Huang Y, Wang D, 2025, Can ChatGPT serve as a writing collaborator? Insights from Chinese EFL learners. System, 2025(133): 103775. https://doi.org/10.1016/j.system.2025.103775.
[10] Guo K, Pan M, Li Y, et al., 2024, Effects of an AI-supported approach to peer feedback on university EFL students' feedback quality and writing ability. The Internet and Higher Education, 2024(63): 100962. https://doi.org/10.1016/j.iheduc.2024.100962.
[11] Kim S, So HJ, Park K, 2026, Supporting learner agency in collaborative writing with generative AI. British Journal of Educational Technology, 2026(57): 984–1008. https://doi.org/10.1111/bjet.70015.
[12] Essa MAFI, 2026a, Allocating decision rights in generative AI-assisted Arabic writing: A stage-gated human-in-the-loop framework for beginner learners of Arabic as a foreign language. International Journal of Research and Innovation in Social Science, 2026(8). https://doi.org/10.47772/IJRISS.2026.100800797.
[13] Essa MAFI, 2026b, Assessing learning after generative AI support: A framework for Arabic language education. International Journal of Research and Innovation in Social Science, 2026(Special Issue on Education). https://doi.org/10.47772/IJRISS.2026.1026EDU0584.
[14] Nassif L, 2019, The relationship of language anxiety with noticing and oral production of L2 forms: A study of beginning learners of Arabic. System, 2019(80): 304–317. https://doi.org/10.1016/j.system.2018.12.008.
[15] Connor U, 2022, Intercultural rhetoric. In I. Kecskes (Ed.), The Cambridge handbook of intercultural pragmatics, Cambridge University Press: 469–483. https://doi.org/10.1017/9781108884303.019.
