Melola Discovery

← Melola Discovery

Journal

PEMEROLEHAN BAHASA ARAB DI ERA ARTIFICIAL INTELLIGENCE: STUDI PUSTAKA TENTANG POTENSI, STRATEGI, DAN TANTANGAN PEMBELAJARAN BERBASIS AI

Lisanul Arab: Journal of Arabic Learning and Teaching · Vol. 14 No. 2 (2025) · pp. 148–160

DOI
10.15294/laa.v14i2.24233
ISSN
2721-4222, 2252-6269
Published
2025-10-30
Publisher
Universitas Negeri Semarang
Language
eng

Abstract

The development of Artificial Intelligence (AI) technology has opened new opportunities in the field of education, including in the acquisition of foreign languages such as Arabic. However, the integration of AI into Arabic language acquisition, especially for non-native speakers, still requires further exploration. This study aims to examine the potential of AI in supporting Arabic language acquisition, to identify AI-based learning strategies, and to analyze the challenges encountered in its application. This research uses a qualitative method with a library research approach. Data were collected from various sources, including scholarly journals, books, and articles related to Arabic language learning and AI technology. The data were analyzed descriptively and analytically by classifying and synthesizing relevant information. The findings show that AI holds significant potential in enhancing Arabic language acquisition through features such as chatbots, e-learning platforms, interactive quizzes, and conversation simulations. These strategies provide a more flexible, engaging, and personalized learning experience. However, challenges such as limited vocabulary, mistranslations, overdependence on technology, and access limitations still persist. Therefore, the use of AI should be balanced with contextual and critical approaches to ensure that Arabic language acquisition becomes more meaningful and effective.

Keywords

Collaboration network of the authors

40 authors · 85 co-authorship links · 10 across different organisations · showing the 40 most connected

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Universitas Halu Oleo
  • Hasanuddin University
  • Universitas Nahdlatul Ulama Kalimantan Timur
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Sitti Wahidah MasnaniAffiliation unknown4
Mujadilah nurAffiliation unknown3
Sri RahayuHasanuddin University3
Amalia DzulqaidahAffiliation unknown2
Andi AgussalimHasanuddin University2
Zuhriah ZuhriahAffiliation unknown2
RAHAYU RAHAYUUniversitas Halu Oleo2
Yudi YudiAffiliation unknown2
Muhammad ArsyadUniversitas Halu Oleo2
Yuni Krisyuningsih KrisnandiAffiliation unknown2
Indri YatiAffiliation unknown2
Nur RahmahUniversitas Nahdlatul Ulama Kalimantan Timur1
Mukhtar MukhtarAffiliation unknown1
Bambang PramonoUniversitas Halu Oleo1
Sutardi SutardiUniversitas Halu Oleo1
Laode Muh. Golok JayaAffiliation unknown1
Yusring Sanusi BasoAffiliation unknown1
MasnahAffiliation unknown1
Najiyah Nur Ismirah -Affiliation unknown1
ZuhriahAffiliation unknown1
Yulia Rahmah AmaliaAffiliation unknown1
Haeriyyah HaeriyyahAffiliation unknown1
Haeruddin HaeruddinAffiliation unknown1
Baharuddin BaharuddinUniversitas Halu Oleo1
Makkulau MakkulauUniversitas Halu Oleo1
Andi Tenri AmpaUniversitas Halu Oleo1
Lilis LaomeUniversitas Halu Oleo1
Mukti ZainuddinAffiliation unknown1
Sujarno SujarnoAffiliation unknown1
Ichtiar TelaumbanuaAffiliation unknown1
Agus EfendiAffiliation unknown1
R. Adi DeswijayaAffiliation unknown1
Bambang IkhwantoAffiliation unknown1
Pradnya Paramita HapsariAffiliation unknown1
Niken Habsari AyuningtyasAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://journal.unnes.ac.id/journals/laa/oai, first harvested 6 Nov 2026, last seen 8 Nov 2026.
Original metadata (oai_dc) 
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<dc:title xml:lang="en">PEMEROLEHAN BAHASA ARAB DI ERA ARTIFICIAL INTELLIGENCE: STUDI PUSTAKA TENTANG POTENSI, STRATEGI, DAN TANTANGAN PEMBELAJARAN BERBASIS AI</dc:title>
	<dc:creator xml:lang="en">Muhammad Ridwan</dc:creator>
	<dc:creator xml:lang="en">Ahmad Jezy</dc:creator>
	<dc:creator xml:lang="en">M. Shofiyyur Rahman Hawary </dc:creator>
	<dc:creator xml:lang="en">M. Apip</dc:creator>
	<dc:creator xml:lang="en">Aprijon efendi</dc:creator>
	<dc:subject xml:lang="en">Arabic Language Acquisition</dc:subject>
	<dc:subject xml:lang="en">Artificial Intelligence</dc:subject>
	<dc:subject xml:lang="en"> Language Learning</dc:subject>
	<dc:description xml:lang="en">The development of Artificial Intelligence (AI) technology has opened new opportunities in the field of education, including in the acquisition of foreign languages such as Arabic. However, the integration of AI into Arabic language acquisition, especially for non-native speakers, still requires further exploration. This study aims to examine the potential of AI in supporting Arabic language acquisition, to identify AI-based learning strategies, and to analyze the challenges encountered in its application. This research uses a qualitative method with a library research approach. Data were collected from various sources, including scholarly journals, books, and articles related to Arabic language learning and AI technology. The data were analyzed descriptively and analytically by classifying and synthesizing relevant information. The findings show that AI holds significant potential in enhancing Arabic language acquisition through features such as chatbots, e-learning platforms, interactive quizzes, and conversation simulations. These strategies provide a more flexible, engaging, and personalized learning experience. However, challenges such as limited vocabulary, mistranslations, overdependence on technology, and access limitations still persist. Therefore, the use of AI should be balanced with contextual and critical approaches to ensure that Arabic language acquisition becomes more meaningful and effective.</dc:description>
	<dc:publisher xml:lang="en">Universitas Negeri Semarang</dc:publisher>
	<dc:date>2025-10-30</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unnes.ac.id/journals/laa/article/view/24233</dc:identifier>
	<dc:identifier>10.15294/laa.v14i2.24233</dc:identifier>
	<dc:source xml:lang="en">Lisanul Arab: Journal of Arabic Learning and Teaching; Vol. 14 No. 2 (2025): Lisanul Arab; 148-160</dc:source>
	<dc:source>2721-4222</dc:source>
	<dc:source>2252-6269</dc:source>
	<dc:source>10.15294/laa.v14i2</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/journals/laa/article/view/24233/6481</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2025 Lisanul Arab: Journal of Arabic Learning and Teaching</dc:rights>
</oai_dc:dc>