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Research Trends On High Order Thinking Skills (HOTS) In Arabic Language Education Journals In Indonesia/ Tren Penelitian High Order Thinking Skills (HOTS) Pada Jurnal Pendidikan Bahasa Arab Di Indonesia Wahyudi, Hakmi; Agustiar, Agustiar; Azhar, Muhammad; Yusriyah, Yusriyah; Yusra, Nelly
Ijaz Arabi Journal of Arabic Learning Vol 7, No 3 (2024): Ijaz Arabi: Journal Of Arabic Learning
Publisher : Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/ijazarabi.v7i3.24752

Abstract

Higher Order Thinking Skills (HOTS) are considered essential skills in the modern era, encompassing the abilities to think critically, analytically, and creatively and to solve problems. HOTS is crucial to understanding cultural heritage, literature, and Islamic thought in Arabic language learning. This study aims to gather and review information from various research studies that discuss HOTS in Indonesia using content analysis methods on articles published in Science and Technology Index (SINTA) accredited Arabic language education journals from 2019 to 2023. This research addresses questions about HOTS research trends in terms of the number of studies per year, the accreditation of journals publishing HOTS articles, types of research, research subjects, data collection instruments, and data analysis techniques used by researchers. The results of this study show an increasing trend in HOTS research. Researchers tend to prefer publishing their findings in accredited journals to enhance the credibility and exposure of their research. Qualitative research designs dominate, with documentation as the primary data collection instrument. Practice questions in textbooks and exam questions containing HOTS dominate the research objects. This impacts the data analysis techniques, with content analysis methods providing a clear framework for exploring meanings and deeply explaining the data context. Based on the research findings, future studies are expected to consider students as research subjects, explore strategies, models, and teaching methods to enhance students' HOTS, increase the variety of research types, and select data analysis techniques.
Analisis Al-Musytarak Al-Lafzi Kata Hisāb Dan Derivasinya Dalam Surat An-Nūr Serta Implikasinya Terhadap Pemahaman Tafsir M. Ripani Saputra; Angga Frananda; Muhammad Azhar; Muhammad Sayuti; Mudiul Hayat Pasaribu; Mhd Nopendri Saputra; Rudi Edwaldo Jasmit
Journal of Innovative and Creativity Vol. 6 No. 1 (2026)
Publisher : Fakultas Ilmu Pendidikan Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joecy.v6i1.8252

Abstract

The Qur'an as the central text in Islam has extraordinary linguistic richness, one of which is the phenomenon of al-musytarak al-lafzī (polysemy), where one lafaz has various meanings. This study aims to deeply analyse the meanings of the lafaz hisāb and its derivations that are classified as al-musytarak al-lafzī in Surah An-Nūr. The focus of the study is on verses 11, 15, 39, and 57, to identify variations in meaning based on the context of the verse (siyāq al-āyah) and its implications for interpretive understanding. The method used is qualitative-descriptive with a semantic analysis approach and library research. The primary data source is the Qur'an, supported by classical and contemporary tafsir books, Arabic dictionaries, and related scientific literature. The results show that the lafaz hisāb and its derivations in Surat An-Nūr (such as tahsabūnahu, yahsabuhu, tahsabanna) have at least three main variants of meaning: (1) presumption (ظَنٌّ), (2) simile (مَثَلٌ), and (3) thinking (فِكْرٌ). This difference in meaning significantly affects the interpretation of the verse and the message it contains. An accurate understanding of al-musytarak al-lafzī is crucial to avoid misunderstandings in interpreting the Qur'ān and is relevant to the development of Qur'ānic linguistic studies. Translated with DeepL.com (free version)
Kajian Teoritis: Implementasi Metode Total Physical Response dalam Pembelajaran Bahasa Arab Frananda, Angga; Sayuti, Muhammad; Azhar, Muhammad; Saputra, M. Ripani; Pasaribu, Mudiul Hayat
Shaut al Arabiyyah Vol 14 No 1 (2026): JURNAL SHAUT AL-'ARABIYAH
Publisher : Jurusan Pendidikan Bahasa Arab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/saa.v14i1.40322

Abstract

Learning Arabic requires a method that is fun and not boring so that the learning process goes well and the learning objectives can be achieved. This study aims to look at the implementation of learning Arabic using the total physical response (TPR) method because this method comes from the West. In carrying out his research, this study used descriptive qualitative methods. The steps that the authors carried out in this study were in the form of collecting data from several articles related to further research, the authors analyzed and described the results of these articles in the application of the total physical response method in language learning. Arab. The results of this study are in the form of a significant positive influence in learning Arabic using the total physical response method, especially in the mastery of mufradat. This research is expected to provide a scientific treasure, especially for educators in Arabic subjects.
Analisis Akurasi I‘rab Struktur Kalimat Bahasa Arab pada Output Artificial Intelligence ChatGPT: Studi Mixed Methods Muhammad Hilman; Muhammad Azhar
Ukazh : Journal of Arabic Studies Vol. 7 No. 2 (2026): Ukazh : Journal of Arabic Studies, June 2026
Publisher : Institut Muslim Cendekia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37274/ukazh.v7i2.251

Abstract

The increasing use of ChatGPT as a source for learning Arabic requires a critical evaluation of the accuracy of the grammatical analysis it produces. This study aims to analyze the accuracy and precision of i‘rab in Arabic sentences generated by ChatGPT. This research employed a mixed methods approach with a sequential exploratory design. The data consisted of 12 sentences with variations in syntactic structure, collected purposively and analyzed through content analysis. The qualitative analysis revealed errors in complex structures, such as al-bina’ lil-majhul, multi-maf‘ul, uslub syarṭ, istifham, as well as taqdim–ta’khir and i‘rab taqdir. The errors also included incorrect identification of fa’il, inaccuracies in i‘rab markers, and inconsistencies in wording. The quantitative results showed an accuracy rate of 46.81% (44/94), indicating that ChatGPT is fairly capable of recognizing basic nahwu patterns. However, these findings indicate that the use of ChatGPT at the basic level may actually risk instilling conceptual errors. Therefore, ChatGPT cannot replace classical nahwu references and must be used critically and verified with authoritative sources.