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Integrasi Large Language Models Dalam Pembelajaran Analisis Teks Sastra Arab Di Perguruan Tinggi Perdana, Dyah Adila
Jurnal Ilmu Ekonomi, Pendidikan dan Teknik Vol. 2 No. 5 (2025): IDENTIK - September
Publisher : CV. SINAR HOWUHOWU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70134/identik.v2i5.907

Abstract

This study aims to analyze the impact of using Large Language Models (LLMs) on students’ ability to analyze Arabic literary texts. The research employed an experimental method with a pre-test and post-test design, involving an experimental class that used LLMs as analytical tools and a control class that followed conventional methods. Data were collected through analysis skill tests, students’ written products, questionnaires, and in-depth interviews. The findings indicate that the use of LLMs significantly enhances students’ ability to identify intrinsic elements, understand plot structures, interpret symbols and themes, and construct more coherent and systematic analytical arguments. In addition, LLMs facilitate the understanding of linguistic, cultural, and structural contexts within texts, and stimulate critical thinking through the evaluation of alternative interpretations and reflection on AI-generated answers. Students’ perceptions of LLM use were generally positive, particularly regarding ease of access to information, increased learning motivation, and accelerated comprehension of texts. Nevertheless, the study also identifies potential risks such as dependency, homogenization of analytical styles, and the limitations of AI in capturing cultural and aesthetic nuances of literary texts, indicating the continued need for instructor guidance and AI literacy. Overall, LLMs are proven to be effective pedagogical tools for improving the quality of Arabic literature learning, provided that their use is structured, ethical, and accompanied by academic supervision and reflective practice.
Pengembangan E-Modul Interaktif Analisis Puisi Arab Klasik Berbasis Pjbl Menggunakan Platform Digital Perdana, Dyah Adila
Jurnal Ilmu Ekonomi, Pendidikan dan Teknik Vol. 2 No. 6 (2025): IDENTIK - November
Publisher : CV. SINAR HOWUHOWU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70134/identik.v2i6.908

Abstract

This study aims to develop and evaluate an interactive e-module for classical Arabic poetry analysis based on Project-Based Learning (PjBL) using a digital platform, as well as to assess its effectiveness in improving students’ literary analysis competence. The research employed a Research and Development (R&D) design, consisting of needs analysis, module design, expert validation, limited trials, and effectiveness evaluation. Validation was conducted by experts in Arabic literature and educational media, while the trial phase involved students as respondents to assess usability, media attractiveness, and learning engagement. The findings indicate that the developed e-module demonstrates high content and design validity, featuring materials aligned with the principles of classical Arabic poetry, clear PjBL project instructions, and multimedia elements that support interactive learning. Students’ responses to the module were highly positive; the module enhanced motivation, active engagement, and collaboration during project implementation. Its effectiveness is further reflected in students’ improved ability to identify intrinsic elements of poetry, interpret symbolism, understand cultural context, and construct coherent and reflective analytical arguments. Challenges such as technical constraints and adaptation to PjBL methods were mitigated through instructor guidance and module refinement. Thus, the interactive PjBL-based e-module proves effective as an innovative learning medium for the analysis of classical Arabic poetry, while also strengthening students’ analytical skills, critical thinking, and collaboration. This module serves as a relevant and sustainable technology-based learning model for Arabic literature education in the digital era.