AI enhances Task-Based Language Learning with personalized and immersive experiences, but requires careful implementation.
Authors
Rohit Yadav, IILM University, Greater Noida, India
Xuan-Hoa Nghiem, Vietnam National University, Hanoi, Viet Nam
Mohit Yadav, Professor, Jindal Global Business School, O. P. Jindal Global University, Sonipat, Haryana, India
Damith Gangodawilage, Qasim Ibrahim School of Business, Villa College, Male, Maldives
Summary
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).
Published in: Modern Methods for AI-Integrated Language Curriculum
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