Nur Aina Faqihah
International Islamic University Malaysia

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Integrating Artificial Intelligence into Arabic Language Education: Socio-Technical Perspectives from Islamic Institutions in Southeast Asia Ridha Darmawaty; Nur Aina Faqihah; Asep Sunarko; Yusuf Arisandi
Journal of Arabic Language Learning and Teaching (JALLT) Vol. 4 No. 2 (2026): Journal of Arabic Language Learning and Teaching (JALLT)
Publisher : Universitas Islam Negeri Palangka Raya Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23971/jallt.v4i2.536

Abstract

This study examines the integration of artificial intelligence (AI) into Arabic language education in Islamic institutions through a multi-site mixed-methods design across Indonesia and Malaysia. Addressing the limited empirical attention to socio-technical, cultural, and religious dimensions of AI-mediated Arabic learning, the study investigates how AI shapes linguistic development, pedagogical practice, learner autonomy, and institutional decision-making. Data were collected from five educational settings: pesantren in Wonosobo and Bangil, UIN Antasari Banjarmasin, UII Darullughah Wadda’wah Pasuruan, and an Islamic institution in Kedah, Malaysia. Classroom observations, interviews, focus group discussions, surveys, digital artifacts, and learning documents were analyzed through triangulation. The findings show that AI supports Arabic learning most effectively as a micro-scaffolding tool for grammar feedback, vocabulary practice, pronunciation support, error detection, and guided interaction. However, its effectiveness depends on teacher mediation, clear learning objectives, and ethical-pedagogical boundaries. Three main constraints emerged: goal diffusion and over-reliance when AI tasks lack guardrails; uneven digital readiness and infrastructure; and persistent inaccuracies in literary, poetic, and classical Arabic texts requiring dzawq lughawī, rhetorical nuance, and religious interpretation. Comparative findings indicate that Indonesian sites adopted AI more progressively through pesantren-based filters, whereas Kedah applied a selective, needs-based approach grounded in traditional learning preferences. Theoretically, this study proposes a socio-technical model that positions AI as a cognitive accelerator within a teacher-led, value-anchored Arabic learning ecosystem. Practically, it offers principles for guardrailed prompting, ethical AI use, teacher capacity-building, and institutionally grounded AI integration.
Developing Inner Speech for Arabic Fluency: Evidence from the Islamic Education Institution in Malaysia Masnun Masnun; Nur Hanifansyah; Menik Mahmudah; Nur Aina Faqihah
An Nabighoh Jurnal Pendidikan Dan Pembelajaran Bahasa Arab Vol 28 No 1 (2026): An Nabighoh
Publisher : Universitas Islam Negeri Jurai Siwo Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32332/an-nabighoh.v28i1.277-298

Abstract

Background: Arabic-speaking fluency remains a central yet challenging goal in Malaysian Islamic education, where Arabic functions as both a religious and academic language. Although students receive formal instruction in grammar, vocabulary, and reading, many still rely on mental translation before speaking, limiting spontaneity and confidence. Inner speech, which is understood as silent Arabic self-talk, subvocal rehearsal, and internal sentence formulation, offers a cognitive pathway for strengthening oral fluency. Research Objectives: This study examines the extent to which students in Islamic educational institutions in Malaysia develop inner speech in Arabic and investigates how it contributes to speaking fluency, confidence, and self-regulation. Methodology: A mixed-methods design involving 60 final-year secondary and diploma-level students from two Islamic education institutions in Kedah, Malaysia, was employed. Data were collected through questionnaires, semi-structured interviews with 15 participants, classroom observations, and institutional documents. Quantitative data were analyzed using descriptive statistics, chi-square testing, Pearson correlation, and partial correlation, whereas qualitative data were examined through thematic analysis and triangulation. Results: The findings show that 68.3% of students regularly used Arabic inner speech. Advanced learners demonstrated stronger direct Arabic formulation, whereas beginners remained dependent on Malay-to-Arabic mental translation. A significant relationship was found between the proficiency level and the inner speech pattern, χ²(2)=15.34, p<0.001, Cramer’s V=0.51. Arabic inner speech was also moderately correlated with perceived speaking fluency, r=0.58, p<0.001. Unique Contribution: This study extends inner speech theory to Arabic language acquisition in Islamic educational contexts and introduces inner Arabic thought as a measurable psycholinguistic factor in fluency development. Conclusion: By supporting rehearsal, vocabulary retrieval, self-correction, confidence building, and emotional regulation, inner speech functions as a cognitive bridge between linguistic knowledge and spontaneous Arabic speaking. Recommendations: Digital-based inner speech training through AI voice assistants, speech-recognition tools, or mobile Arabic self-talk diaries should be explored in future studies to strengthen internal rehearsal, reduce mental translation, and improve spontaneous Arabic fluency.