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All Journal Kilmatuna: Journal Of Arabic Education Al-Irfan: Journal Of Arabic Literature and Islamic Studies
Aljanah, Devi Surya
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Religion Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Other

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تطبيق نموذج (Think Pair Share) لتحسين مهارات كتابة مفردات اللغة العربية Hapizil Umam; Arrifqi, Nadia; Aljanah, Devi Surya; Yandena, Rochi Putra
Kilmatuna: Journal Of Arabic Education Vol. 5 No. 1 (2025): April : KILMATUNA: Jurnal Pendidikan Bahasa Arab
Publisher : Institut Pesantren Sunan Drajat Lamongan, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55352/pba.v5i1.1656

Abstract

Dalam pembelajaran bahasa, bahasa, penggunaan media sangat dibutuhkan agar pembelajaran tersebut tidak membosankan danmenjadi aktivitas yang menyenangkan. Kenyataan dilapangan menunjukkan bahwa aktivitas pembelajaran bahasa Arab kurang bervariasi dari pada pembelajaran bahasa asing lainnya.. Penelitian ini adalah mengggunakan metode kualitatif dengan jenis deskriptif di mana peneliti akan mengamati secara langsung tentang kebingungan dalam pembelajaran bahasa Arab di lapangan. Subjek penelitian ini adalah 1 orang kepala sekolah, 1 orang guru dan 10 orang santri santri kelas VII A SMP Ar Risalah Lubuk Linggau. Hasil penelitian menunjukkan ketika guru mengajarkan Model Think Pair Share yaiti Guru memberikan sebuah soal atau teks lalu murid disuruh untuk membuat kelompok lalu mencari pertanyaan atau memperkaya lagi kosa katanya melalui teman sebangku, kelompok atau juga dengan kamus Bahasa Arab. Terkadang guru mengajarkan Model Think Pair Share ini dengan menggunakan gambar atau Video berbahasa Arab agar dapat memotivasi dan biar mereka tidak bosan dan jenuh maka guru memutar video untuk membakitkan semangatnya. Faktor pendukungnya itu, Pondok ini mengadakan program Bahasa Arab mendatangkang guru luar yang memang mempunyai skill dalam Bahasa Arab. Adanya kesulitan dalam menulis kosa kata bahasa Arab salah satu faktor penghambat implementasi mengajarkan Model Think Pair Share ini.
The Mind-Machine Duality in Carving Meaning: ChatGPT and Self Regulated Learning in Arabic Research Aljanah, Devi Surya; Koderi, Koderi; Akmansyah, Muhammad
Al-Irfan : Journal of Arabic Literature and Islamic Studies Vol. 8 No. 1 (2025)
Publisher : Sekolah Tinggi Agama Islam Darul Ulum Banyuanyar Pamekasan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58223/al-irfan.v8i1.470

Abstract

This study investigates the dual influence of ChatGPT and Self-Regulated Learning (SRL) strategies on the academic writing performance of students in Arabic Language Education programs. With the increasing integration of artificial intelligence tools in higher education, it is essential to understand how these technologies interact with traditional learning strategies, particularly in writing scholarly theses in Arabic—a language that presents unique structural and stylistic challenges. The primary objective of this study is to evaluate the extent to which ChatGPT and SRL affect students’ ability to produce well-structured and linguistically accurate Arabic bachelor's theses. A quantitative survey method was employed, involving 56 students across three academic semesters. Data analysis was conducted using SmartPLS 4.0 to measure the impact of both variables. The findings indicate that both ChatGPT and SRL significantly enhance students' thesis writing skills. Notably, ChatGPT has a slightly greater influence, particularly in the areas of idea development, content organization, and advanced language use. Meanwhile, SRL remains crucial for time management, intrinsic motivation, and reflective evaluation. These results underscore the complementary roles of AI assistance and self-regulated strategies in academic writing. The study contributes to the growing discourse on the ethical and pedagogical implications of AI in education, particularly in the context of Arabic language scholarship. It recommends a balanced pedagogical model that integrates AI tools like ChatGPT with structured SRL frameworks to optimize student performance and uphold academic integrity.
Co-Authors Arrifqi, Nadia Hapizil Umam Koderi Muhammad Akmansyah Yandena, Rochi Putra