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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 research aims to investigate the capabilities of Qalam AI – an automatic ḥarakat (diacritical mark) detection system – in supporting Arabic sentence learning through its ablility to analyze sentence components. This research was an exploratory study that employed a case study approach on the implementation of Qalam AI in the classroom. Data collection methods included: 1) analysis of student text samples, 2) expert evaluation by comparing Qalam AI’s analysis results with manual analysis by Arabic language experts, and 3) simulation of integration in the classroom. The analysis focused on three grammatical cases: 1) al-asmāʾ al-marfu̅ʿah (nominative), 2) al-asmāʾ al-manṣūbah (accusative), and 3) al-asmāʾ al-majrūrah (genitive). The research analysis used qualitative methods to examine Qalam AI's potential applications in Arabic language pedagogy.