Istikhdāmu Minaṣah ChatGPT fī Ta’allum al-Lughah Al-Arabiyah ‘Ala Ḍau’i an-Naẓariyah al-Ma’rifiyyah: Dirasah Tahlīl al-Muhtawā

The Use of ChatGPT Platform in Arabic Learning Based on Cognitive Theory: a Content Analysis

Authors

  • Tamim Mulloh UIN Maulana Malik Ibrahim Malang
  • Samsul Ulum Universitas Islam Negeri Maulana Malik Ibrahim Malang
  • Nurhadi Universitas Islam Negeri Maulana Malik Ibrahim Malang

DOI:

https://doi.org/10.21111/lisanudhad.v12i1.13052

Keywords:

Arabic Language, Artificial Intellegence, ChatGPT, Language Learning

Abstract

The integration of ChatGPT as an AI-powered language model into Arabic language learning has opened new avenues for interactive and personalized learning experiences. While existing studies have highlighted its general effectiveness in foreign language acquisition, there remains a limited understanding of how its use aligns specifically with principles of cognitive theory in the context of Arabic learning. This study addresses that gap by conducting a content analysis of how learners interact with ChatGPT, focusing on cognitive mechanisms such as feedback processing, working memory activation, and metacognitive engagement. The novelty of this research lies in its detailed exploration of learner-platform interaction patterns from a cognitive perspective, offering insights into the specific cognitive affordances and limitations of ChatGPT in Arabic language instruction. By situating the analysis within cognitive theoretical frameworks, this study provides a foundational understanding of how AI tools like ChatGPT can be optimized for Arabic language pedagogy. This study aims to explore the integration of ChatGPT in Arabic language learning using a cognitive theory approach. The research used the qualitative approach with content analysis methods. The data used in this research are secondary data. The data collection techniques are through library study. The results of the study demonstrates that ChatGPT can function as a cognitive partner supporting Arabic language learning through mechanisms such as scaffolding, ZPD, and dialogue-based learning. These findings provide a theoretical and practical foundation for developing AI-based Arabic language instruction aligned with cognitive theory principles.

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Submitted

2024-11-10

Accepted

2025-07-22

Published

2025-06-22

How to Cite

Mulloh, T., Ulum, S. ., & Nurhadi. (2025). Istikhdāmu Minaṣah ChatGPT fī Ta’allum al-Lughah Al-Arabiyah ‘Ala Ḍau’i an-Naẓariyah al-Ma’rifiyyah: Dirasah Tahlīl al-Muhtawā: The Use of ChatGPT Platform in Arabic Learning Based on Cognitive Theory: a Content Analysis . Lisanudhad: Jurnal Bahasa, Pembelajaran, Dan Sastra Arab, 12(1), 185–205. https://doi.org/10.21111/lisanudhad.v12i1.13052

Issue

Vol. 12 No. 1 (2025): Lisanudhad: Jurnal Bahasa, Pembelajaran dan Sastra Arab

Section

Articles

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Copyright (c) 2025 Tamim Mulloh, Samsul Ulum, Nurhadi

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