Artificial Intelligence in Language Teaching: Exploring Translanguaging, Eco-Linguistics, and Community-Based Learning
- Title
- Artificial Intelligence in Language Teaching: Exploring Translanguaging, Eco-Linguistics, and Community-Based Learning
- Creator
- Kumar, Chandan; Thomas, K. Nivea
- Description
- This chapter critically examines the role of Artificial Intelligence (AI) in second and foreign language teaching through the lens of eco-linguistics, with a particular focus on translanguaging. It explores three key dimensions of AI's impact: the theory of language, the theory of language learning, and the evolving role of the teacher. Using an argumentative and experimental methodology, the chapter integrates theoretical insights from eco-linguistics and translanguaging to evaluate AI-assisted tools. It highlights the opportunities these tools provide, such as personalized learning and adaptive feedback, while addressing their limitations, including challenges to emotional connection, language standardization, and the diminishing role of human interaction. The chapter proposes a hybrid model that combines AI with community- based language teaching to mitigate these issues, preserving the communication ecology and fostering more holistic language learning practices. 2026, IGI Global Scientific Publishing.
- Source
- Community-Based Language Learning and Cultural Competence;pp.41-72
- Date
- 01-01-2025
- Publisher
- IGI Global
- Coverage
- Kumar C., Christ University, India; Thomas K.N., Christ University, India
- Rights
- Restricted Access; Hardcopy may be available in the library
- Relation
- ISBN: 979-833730032-0; 979-833730030-6;
- Format
- online
- Language
- English
- Type
- Book chapter
Collection
Citation
Kumar, Chandan; Thomas, K. Nivea, “Artificial Intelligence in Language Teaching: Exploring Translanguaging, Eco-Linguistics, and Community-Based Learning,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 17, 2026, https://archives.christuniversity.in/items/show/24504.