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All Journal Alsina : Journal of Arabic Studies Jurnal Al-Ihda
Batul, Zahadatul
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Religion Computer Science & IT Education Languange, Linguistic, Communication & Media Social Sciences

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فعالية تطبيق طريقة “Qatar Debate” لتعمق مهارة الكلام في المناظرة العربية لفصل “متقدم” بدورة ناطق عربية باري كديري Batul, Zahadatul; Rizki, Restu Budiansyah
JURNAL AL-IHDA' : Media Ilmiah Bahasa Arab Vol. 13 No. 1 (2025): July
Publisher : Sekolah Tinggi Ilmu Tarbiyah Al-Hilal Sigli Aceh- Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58645/alihda.v13i1.690

Abstract

The design of this study is focused on measuring the effectiveness of the application of the "Qatar Debate" method for mastery of speech skills in Arabic debates in the Mutaqodddim class at the Naatiq Arabiyyah Pare Kediri Course. The formulation of the questions in this study is: (1) How is the application of the "Qatar Debate" method for mastery of speaking skills in Arabic debate in the Mutaqoddim class in the Naatiq Arabiyyah Pare Kediri Course? (2) How effective is the application of the "Qatar Debate" method for the mastery of speaking skills in Arabic debate in the Mutaqoddim class in the Naatiq Arabiyyah Pare Kediri Course? This study uses a quantitative research method. The data collection used in this study was tests, documentation, interviews, and observations. The researcher explained the results of this study, namely: (1) The application of the "Qatar Debate" method for mastering speaking skills has an important role in improving the quality of learning, especially in learning speaking skills. This method is applied as a form of developing Arabic debate learning. (2) The average score obtained by students (89.00) is higher than the hypothetical score (80.00). So this method is effective in helping students to develop fluency in speaking, fluency and intonation as well as the richness of language styles in speaking Arabic orally.
Qalam AI: A Study on the Potential of Automatic Ḥarakat Detection for Arabic Sentence Learning Rizki, Restu Budiansyah; Muhammad Fatkhur Rizal; Chusnia Rahmawati; Bachrudin, Muhammad Ali; Farhani, Siti; Batul, Zahadatul
Alsina : Journal of Arabic Studies Vol. 7 No. 2 (2025)
Publisher : Universitas Islam Negeri Walisongo Semarang - Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/alsina.7.2.27500

Abstract

This study examines the linguistic performance and pedagogical relevance of Qalam AI as an automatic ḥarakāt detection system in Arabic sentence learning. Employing an exploratory qualitative case study design, the research involved analysis of student text samples, expert evaluation through comparison between AI-generated outputs and manual linguistic analysis, and classroom integration simulation. The analysis focused on three grammatical cases: al-asmāʾ al-marfūʿah (nominative), al-asmāʾ al-manṣūbah (accusative), and al-asmāʾ al-majrūrah (genitive). The findings indicate that Qalam AI is capable of identifying various sentence-level linguistic features, including grammatical case assignment, orthographic inconsistencies, sentence-structure variation, and punctuation-related issues, while also exhibiting systematic limitations in contexts involving morphological ambiguity and syntactic role differentiation. Rather than functioning as an error-free automation tool, Qalam AI appears to support form-focused learning by making linguistic features visible for learner reflection and instructional mediation. These findings suggest that Qalam AI may serve as a supportive pedagogical tool within AI-assisted Arabic language instruction, complementing human linguistic judgment rather than replacing it. The study contributes to ongoing discussions in Computer-Assisted Language Learning and Arabic Natural Language Processing by highlighting the instructional value of automatic diacritization systems beyond technical accuracy.
Co-Authors Bachrudin, Muhammad Ali Chusnia Rahmawati Muhammad Fatkhur Rizal Raden Mohamad Herdian Bhakti Rizki, Restu Budiansyah