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All Journal Alibbaa': Jurnal Pendidikan Bahasa Arab
Muhtadi Nazeem
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Education Languange, Linguistic, Communication & Media Other

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Rethinking AI in Arabic Translation Learning: The Role of DeepL and Teacher Mediation Anni Mujahida; Muhtadi Nazeem
Alibbaa': Jurnal Pendidikan Bahasa Arab Special Issue 2026 Vol. 01 | Artificial Intelligence in Arabic Language Education: Pedagogy, Media,
Publisher : IAIN Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19105/ajpba.vi.24012

Abstract

This study aims to analyze the implementation of DeepL AI Translate in Arabic translation learning at MTs Alkhairaat Pusat Palu Indonesia, examine its impact on students’ learning processes, and identify the role of teachers in controlling the quality of AI-assisted translations. This research employs a qualitative descriptive approach within a naturalistic framework, with data collected through 15 days of classroom observations, in-depth interviews, and documentation. The findings reveal that DeepL is integrated into a structured learning process consisting of pre-translation, AI-assisted translation, post-translation, and evaluation stages. The use of DeepL enhances student participation, learning efficiency, confidence, and vocabulary comprehension. However, its use remains largely limited to lexical-level support and may lead to dependency if not pedagogically controlled. In this context, teachers play a crucial role as mediators, facilitators, and quality controllers of translation outcomes. This study highlights that the effectiveness of AI in language learning depends not only on technological capability but also on its pedagogical integration within the classroom.
Co-Authors Anni Mujahida