Integrating AI into EFL writing: Insights from Islamic higher education institutions

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Yumnaa Taqiyatul Nabillah Shofwatut Tarbiyah Alfi Nur Nadiva Soetam Rizky Wahyu Indah Mala Rohmana

Abstract

Currently, AI-based tools such as ChatGPT, Grammarly, and QuillBot are increasingly used by students to assist in academic writing. Previous research has shown that these tools can enhance fluency, grammar accuracy, and writing motivation. However, most of these studies have not addressed the context of Islamic educational institutions, where ethical and religious values play an essential role. This study explores the use of artificial intelligence (AI) tools in English as a Foreign Language (EFL) academic writing classes at an Islamic tertiary institution, focusing on student and teacher perspectives. Employing a qualitative methodology with thematic analysis, the research investigates perceived benefits, challenges, and strategies for integrating AI, alongside the influence of Islamic ethical values. Findings reveal that AI applications such as ChatGPT and Grammarly enhance writing accuracy, vocabulary, and student motivation but also introduce concerns related to reliability and academic integrity. Both students and instructors adopt adaptive practices that align with core Islamic principles of amanah (trustworthiness), ikhlas (sincerity), and ʿadl (justice) to ensure responsible and ethical use of AI in learning. This study contributes to the development of pedagogical strategies that harmonize technological advancements with religious and moral frameworks, fostering effective and ethically sound academic writing instruction in Islamic higher education contexts

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How to Cite
NABILLAH, Yumnaa Taqiyatul et al. Integrating AI into EFL writing: Insights from Islamic higher education institutions. Proceeding of International Conference on Islamic Education (ICIED), [S.l.], v. 10, n. 1, p. 714-722, dec. 2025. ISSN 2613-9804. Available at: <https://conferences.uin-malang.ac.id/index.php/icied/article/view/3651>. Date accessed: 03 feb. 2026. doi: https://doi.org/10.18860/icied.v10i1.3651.
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Articles

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