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Journal : ARABIYAT

An Analysis of Qira’ah Textbooks for Islamic Senior Highschool: A Religious Moderation Perspective Nasution, Sahkholid; Al-Rasyid, Harun; Wulandari, Putri; Khalila, Zikrani; Pasaribu, Baharuddin
Arabiyat : Jurnal Pendidikan Bahasa Arab dan Kebahasaaraban Vol. 10 No. 2 (2023)
Publisher : Syarif Hidayatullah State Islamic University of Jakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/a.v10i2.34132

Abstract

Learning at Islamic schools functions to strengthen the values of religious moderation for students, so the selection of materials for all learning topics must support the transformation of religious moderation values, including in learning Arabic. This study aims to analyze the Arabic Maharah al-Qira’ah textbooks at Madrasa Aliyah (MA), which contain values of religious moderation. This study follows a qualitative-descriptive method. Data was collected using the content analysis method. The content analysis method is used to look at the constancy of the text content and the meaning of the contents of the Arabic Maharah al-Qira’ah textbooks at MA. The findings of this study indicate that the Arabic Qira’ah textbooks at MA contain religious moderation values including; national commitment, tolerance, anti-violence, and accommodation of local culture. The implications of this study are first, as an auto-corrective for Arabic textbook writers, and second, so that Arabic teachers can reinforce the values of religious moderation to students, both in the form of illustrations and by giving concrete examples in daily behavior.
Analyzing Phonetic Errors Among Non-Native Arabic Learners Through Artificial Intelligence Nasution, Sahkholid; Asari, Hasan; Al-Rasyid, Harun; Khalilah, Zikrani
Arabiyat : Jurnal Pendidikan Bahasa Arab dan Kebahasaaraban Vol. 12 No. 2 (2025)
Publisher : Syarif Hidayatullah State Islamic University of Jakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/a.v12i2.47342

Abstract

Accurate pronunciation is essential for non-native Arabic learners, yet many face persistent difficulties in articulating specific sounds, leading to phonetic errors that impede comprehension. With technological advancements, artificial intelligence (AI)—particularly Automatic Speech Recognition (ASR)—offers promising solutions for identifying and correcting such errors. This study explores the application of AI in analyzing phonetic inaccuracies among Arabic learners through an experimental model using ASR technology. Employing a descriptive-analytical approach, ten undergraduate students from Universitas Islam Negeri Sumatera Utara were asked to read short Arabic passages. Their recordings were processed through ASR to detect pronunciation errors, including sound substitution, weak articulation, and inaccuracies in elongation (madd) and nasalization (ghunnah). The results demonstrate that ASR effectively identifies recurring phonetic error patterns, providing instructors with valuable diagnostic insights and enabling timely, personalized feedback. The study concludes that integrating AI-driven pronunciation analysis into Arabic language instruction can significantly enhance learning outcomes, support autonomous practice, and promote more accurate oral proficiency. It recommends that educators and institutions adopt ASR-based tools as part of digital language pedagogy to strengthen pronunciation training and foster continuous learner engagement.