Overview
AI can expand the range of communicative situations available to learners while keeping teachers responsible for purpose, interpretation and care.
More situations, not less humanity
Conversational systems can vary roles, pace, vocabulary, available information and the kinds of misunderstanding a learner encounters. Used carefully, this makes repeated functional practice possible without turning every interaction into the same scripted exercise.
The value of AI lies in responsiveness and availability. Human teachers remain essential for interpreting the learner’s history, noticing emotional and social context, and deciding what kind of challenge is educationally appropriate.
Useful roles for AI
Within FSA, AI can support both learning and observation.
- Generate variants of a real-life task while preserving its communicative purpose.
- Take the role of an interlocutor with controlled information and behaviour.
- Offer alternative formulations after the learner has attempted the task.
- Summarise interaction patterns for teacher review.
- Help organise records across repeated tasks and contexts.
Interpretation remains accountable
Automated speech and language judgements are influenced by model, prompt, accent, recording conditions and scoring design. They should be treated as measurements produced by an instrument, not as neutral facts.
For consequential decisions, AI-supported observations require human review, documented criteria and checks for systematic differences between speakers and contexts.