National Consortium for Languages Education
UCL Institute of Education
Translanguaging and AI: Dr Kevin Tai (Hong Kong University) and Seongyong Lee (University of Nottingham Ningbo China)
Generative AI has great potential for supporting multilingual learners in contexts around the world but evidence shows it struggles with translanguaging as AI responds based on statistical probability which can reinforce standardised (dominant) language and societal biases. Despite integrating external data and advanced prompt engineering techniques, GenAI tools tend to default to standard language norms over time. Can we design an ‘AI-mediated translanguaging space’ that genuinely empowers multilingual students, or will the technology simply replicate the inequities it has the potential to overcome?
- EdTech use & design
- Pedagogical principles
Key words: Translanguaging; Algorithmic standardisation; Linguistic diversity; Stochastic parrot; AI-mediated translanguaging space; Funds of knowledge.