Sep 2026· Journal of Computer and Education Research· 0 citations· 52 references
TL;DR
The effects of AI-supported writing instruction on tertiary-level EFL students’ language classroom engagement (LCE) and writing achievement and Qualitative findings indicated increased self-confidence and self-reflection.
Abstract
In recent years, artificial intelligence (AI) has become popular in English as a Foreign Language (EFL) writing classes; however, the effects of AI training on students’ learning remain underexplored. This study explores the effects of AI-supported writing instruction on tertiary-level EFL students’ language classroom engagement (LCE) and writing achievement. The Language Classroom Engagement Scale (LCES) (Eerdemutu et al., 2024) and students’ argumentative essays, students’ reflections and interviews were conducted. The results revealed statistically significant improvement in LCE, except for emotional engagement. Moreover, their achievement in topic, organization, support, style, and sources occurred while enhancing knowledge of conventions (grammar, punctuation and mechanics) was found limited. Qualitative findings indicated increased self-confidence and self-reflection. Overall, the findings highlight the potential of AI-supported tools in EFL writing instruction.
The findings suggest AI tools offer a viable enhancement to traditional EFL instruction, and underscores the need for localized AI implementation strategies, improved teacher training, and equitable digital infrastructure.
It is argued that the thoughtful integration of AI feedback with teacher feedback, grounded in pedagogical principles and human judgment, can significantly enhance L2 writing instruction.
O. Jamoom, Saaid Ali Omar· Comprehensive Journal of Sci...· 0 citations
Within a university writing instruction context, generative AI (gen AI) is changing how writing is learned, demonstrating positive impact potential through boosting learners’ motivation, automating instructional tasks, and offering instantaneous, personalised feedback. As a result, these are times of unprecedented oppo...
R. Donnelly, Ita Kennelly· Journal of Learning Developm...· 0 citations
It is demonstrated that understanding students' voices is crucial for developing context-sensitive and pedagogically sound AI integration strategies, with implications for educators and curriculum designers seeking to implement Gen-AI feedback in effective, ethical, and learner-centred ways.
Abdul Ayiz, Ahmad Tauchid, Riyadh Ahsanul Arifin et al.· ETERNAL (English Teaching Jo...· 0 citations
It is concluded that prompt engineering should be formally integrated into EFL writing instruction to cultivate essential digital-age literacy skills and advocate for curriculum innovation that effectively bridges traditional composition pedagogy with the emerging demands of AI-mediated communication.
Artificial intelligence (AI)-assisted technologies are increasingly used in language education to provide individualized practice and feedback. However, limited research has examined how AI-assisted tools support young English as a Foreign Language (EFL) learners’ speaking practice and self-learning capacity, particula...
Kuan Hung, Ruei-Teng Hung, K. Chen· Technology in Language Teach...· 0 citations
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