The OUP ELT team has published an article on AI and inclusivity.
Can AI make language learning more personalised and inclusive for all learners?
There are many claims for what AI can do for language learning. But do they stand up to scrutiny? One claim for AI is that it can adapt the learning to each individual – it can personalise their learning. In this way, it can make learning far more inclusive. AI responds constructively to the student who is struggling as the student is leaping ahead – which can be difficult for teachers to manage.
But are we underestimating the problems that AI brings into the picture? We know that AI can develop biases from the input it learns from – will those biases be influencing the learning without us even realising it? Should we be worried about the ‘hallucinations’ or errors that AI makes? What about the students’ data that the AI system depends on? Are we comfortable with the privacy and security of each student when we’re collecting so much data about them?
These are challenging questions – and that’s why we’ve teamed up with the ELT Journal to set up a live debate on the issue. We’ve asked two leading thinkers on the application of AI to language learning to debate the issue – live and gloves off!
