Developing AI-Enhanced Task-Based Language Learning (TBLL) Activities

Yadav, Rohit, Nghiem, Xuan-Hoa, Yadav, Mohit and Gangodawilage, Damith Sanjaya Kumara (2025) Developing AI-Enhanced Task-Based Language Learning (TBLL) Activities. In: Modern Methods for AI-Integrated Language Curriculum. IGI Global, USA, pp. 185-203. ISBN 9798369396063

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Abstract

This chapter explores the integration of Artificial Intelligence (AI) into Task-Based Language Learning (TBLL) to create innovative, learner-centered language education experiences. It examines the theoretical foundations of TBLL and AI's transformative potential in language instruction, highlighting technologies such as adaptive learning platforms, natural language processing, and immersive virtual environments. By leveraging AI, educators can design dynamic, personalized tasks that foster meaningful communication, real-time feedback, and cultural relevance. The chapter also addresses challenges, including ethical considerations, algorithmic biases, and the digital divide, emphasizing the need for balanced implementation to maintain TBLL's communicative focus. Future directions include advanced personalization, multimodal interaction, and the incorporation of emerging technologies like augmented reality (AR) and virtual reality (VR).

Item Type: Book Section
Subjects: Physical, Life and Health Sciences > Computer Science
Social Sciences and humanities > Social Sciences > Education
JGU School/Centre: Jindal Global Business School
Depositing User: Mr. Luckey Pathan
Date Deposited: 12 Jun 2025 15:20
Last Modified: 12 Jun 2025 15:20
Official URL: https://www.irma-international.org/book/modern-met...
URI: https://pure.jgu.edu.in/id/eprint/9621

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