Volume V: Economy, Politics, and Environmental Governance

Employing AI-Supported Task-Based Language Teaching in Arabic Writing Instruction for Non-Native Speakers: Towards Integrating Pedagogical Authenticity and Technological Innovation

  • Ammar Ahmed Mohammed Alwesabi UIN Sunan Gunung Djati Bandung, Indonesia
  • Dindin Salahudin UIN Sunan Gunung Djati Bandung, Indonesia
  • Isop Syafei UIN Sunan Gunung Djati Bandung, Indonesia
  • Nanang Kosim UIN Sunan Gunung Djati Bandung, Indonesia

Keywords

Task-Based Language Teaching (TBLT), Artificial Intelligence (AI), Arabic Writing Skills, Teaching Arabic to Non-Native Speakers, Digital Technologies.


Abstract

This research aims to explore the potential of integrating artificial intelligence (AI) technologies into Task-Based Language Teaching (TBLT) to develop Arabic writing skills among non-native speakers, highlighting the integration between authentic pedagogical principles in Arabic language teaching and modern digital technologies. The significance of the study stems from the need to develop Arabic writing instruction practices in line with digital transformation while maintaining established linguistic and pedagogical foundations.The research adopts a descriptive-analytical approach by reviewing literature and previous studies related to TBLT and artificial intelligence in language teaching. It evaluates digital applications that can be utilized to develop Arabic writing skills and analyzes the potential roles of AI in the planning, implementation, review, and evaluation stages of writing tasks.The findings indicate that employing AI applications across the stages of TBLT supports task planning, provides immediate feedback, analyzes language errors, and addresses individual differences among learners. This ultimately improves the quality of writing performance and enhances learning motivation. Furthermore, the study demonstrates that the synergy between TBLT and smart technologies contributes to developing more interactive and flexible learning environments.The originality of this research lies in providing an integrative framework that connects one of the most prominent modern approaches in language teaching with the rapid advancements in AI, opening new horizons for research and application in the fields of Teaching Arabic to Speakers of Other Languages (TASOL), educational technology, and educational AI.


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