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

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Author(s): Rohit Yadav (IILM University, Greater Noida, India), Xuan-Hoa Nghiem (Vietnam National University, Hanoi, Vietnam), Mohit Yadav (O. P. Jindal Global University, India)and Damith Sanjaya Kumara Gangodawilage (Qasim Ibrahim School of Business, Villa College, Male, Maldives)
Copyright: 2025
Pages: 20
Source title: Modern Methods for AI-Integrated Language Curriculum
Source Author(s)/Editor(s): Nayef Jomaa (University of Technology and Applied Sciences, Oman)
DOI: 10.4018/979-8-3693-9606-3.ch007

Keywords: Educational Technologies / Information Science Reference / Literacy and Language Studies / Media & Communications

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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).

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

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