STRATEGIES FOR IMPLEMENTING AI-ENHANCED AUTODIDACTIC ARABIC LEARNING AT UNIVERSITAS ISLAM RIAU

Authors

  • Saproni Muhammad Samin Universitas Islam Riau
  • Rahmah Ahmad Osman International Islamic University Malaysia
  • Rojja Pebrian Universitas Islam Riau
  • Alfitri Zulkifli Universitas Islam Riau
  • Harif Supriady Universitas Islam Riau
  • Ismail Akzam Universitas Islam Riau

Keywords:

Arabic Learning, Artificial Intelegence, Autodidactic Method

Abstract

This paper presents an in-depth examination of strategies for implementing AI-enhanced autodidactic Arabic learning at Universitas Islam Riau (UIR). Using a qualitative descriptive approach and a case study design, the research engages students and lecturers from the Arabic Language Education Study Program to explore their experiences and perceptions of AI tools like ChatGPT. The findings reveal that AI significantly enhances students' learning independence and Arabic language proficiency by providing personalized and adaptive learning resources. Despite the general positive attitude towards AI, concerns about data accuracy and accessibility remain. The study emphasizes the necessity for comprehensive training for both lecturers and students to maximize the benefits of AI in education. It also advocates for the development of adaptive curricula that cater to individual learning needs. By addressing ethical and practical challenges, the research highlights AI's potential to transform Arabic language education and recommends further longitudinal studies to assess its long-term impact.

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Published

2024-11-08

How to Cite

Samin, S. M., Osman, R. A., Pebrian, R., Zulkifli, A., Supriady, H., & Akzam, I. (2024). STRATEGIES FOR IMPLEMENTING AI-ENHANCED AUTODIDACTIC ARABIC LEARNING AT UNIVERSITAS ISLAM RIAU. Proceedings of ICoLT-Hybrid Conference, 1(1), 101–107. Retrieved from https://jurnal.fkip.unismuh.ac.id/index.php/ICOLT/article/view/1622