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All Journal An-Nidzam : Jurnal Manajemen Pendidikan dan Studi Islam Alsinatuna
Muhammad Zaki
University of Darussalam Gontor
Religion Humanities Chemistry Education Languange, Linguistic, Communication & Media Other

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استخدام الذكاء الاصطناعي لتطوير مهارات اللغة العربية في تعلمها Dedi Mulyanto; Muhammad Zaki; Arsyad Muhammad Ali Ridho; Khoirul Fata
An-Nidzam : Jurnal Manajemen Pendidikan dan Studi Islam Vol 11 No 1 (2024)
Publisher : LPPM Institut Agama Islam Nahdlatul Ulama Kebumen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33507/an-nidzam.v11i1.1940

Abstract

This article examines the integration of Artificial Intelligence (AI) into Arabic language learning to enhance proficiency among students. Mastering Arabic in modern educational settings is particularly challenging due to its complex grammar, various dialects, and unique script. Addressing these challenges, the research explores the effectiveness of AI-driven tools in facilitating Arabic language acquisition. Using qualitative research methods, the study investigates the application of AI technologies, such as natural language processing and machine learning algorithms, to create customized learning experiences for Arabic learners. By analyzing learner interactions and feedback, the study evaluates the effectiveness of AI platforms in overcoming language learning obstacles and improving linguistic skills. The findings indicate that AI-powered language learning applications provide personalized and adaptive learning environments tailored to individual styles and preferences. The analysis shows significant improvements in vocabulary acquisition, grammar comprehension, and conversational proficiency among learners using AI-integrated platforms. The impact of AI in Arabic language learning is substantial, offering a more engaging and interactive experience while overcoming traditional barriers. AI also provides continuous feedback and progress tracking, allowing learners to monitor their development and adjust their strategies. This research highlights the potential of AI technologies to revolutionize Arabic language education, offering innovative solutions to enhance proficiency and fluency. By leveraging AI-driven tools, educators and learners can more effectively navigate the complexities of Arabic, promoting broader access to linguistic expertise and cultural understanding.
Utilization of Artificial Intelligence with Text-To-Speech Technology Based on Natural Language Processing to Enhance Arabic Listening Skills for Non-Native Speakers Dedi Mulyanto; Muhammad Wahyudi; Arsyad Muhammad Ali Ridho; Muhammad Zaki
ALSINATUNA Vol 10 No 1 (2024): December 2024
Publisher : Universitas Islam Negeri K.H. Abdurrahman Wahid Pekalongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28918/alsinatuna.v10i1.7952

Abstract

This research addresses the challenge faced by non-native speakers in mastering Arabic listening skills. The primary purpose of this study is to explore the effectiveness of Artificial Intelligence (AI)-driven text-to-speech (TTS) technology, leveraging Natural Language Processing (NLP), in improving these skills. The research employs a descriptive qualitative methodology, integrating listening tests into the design to measure learners' comprehension. These tests are administered both before and after the introduction of TTS technology, allowing for a comparative analysis of its impact. This integration ensures that the tests align with the study's objective of assessing improvements in listening proficiency among non-native Arabic learners. The results demonstrated a significant improvement in the listening skills of the participants, with notable enhancements in pronunciation, intonation, and overall comprehension. The integration of TTS technology provided learners with a consistent and accurate model of spoken Arabic, facilitating better auditory learning. The impact of this research is substantial, highlighting the potential of AI and NLP in language education, particularly for less commonly taught languages like Arabic. The study concludes that AI-based TTS technology is an effective tool for improving Arabic listening skills among non-native speakers, offering a promising avenue for future educational strategies and technological advancements in language learning.
Co-Authors Arsyad Muhammad Ali Ridho Dedi Mulyanto Khoirul Fata Muhammad Wahyudi