Many examples, in context
Input flooding
SchoolGPT identifies where each pupil needs support and gives them repeated exposure to the words and patterns they find difficult, through examples connected to what they are learning.
Deliberately packing a target language form into texts, tasks and conversation so a pupil meets it repeatedly in a meaningful context.
Watch it unfold
Support focused on the areas each pupil finds difficult.
SchoolGPT brings repeated examples of where and were into the conversation, focusing on the words this pupil needs support with.
Were are my football boots? I left them by the door.
Were are my football boots?
Where did you last see them? Were they by the door? Let's look where you left them.
Where did I leave them? I think they were by the door.
Great detective work. Where else could we look? And were the boots muddy?
This is a simplified illustration. A real learning path adapts to the pupil, their age, their subject and the evidence in their work.
In plain English
Learn, unlearn and relearn. Support that adapts as mastery grows.
When a child is mixing up where and were, one explanation may not be enough. SchoolGPT can keep those words appearing in the flow of a story, a question or a chat.
These examples help pupils learn new patterns, unlearn mistaken ones and relearn through practice. As the pupil demonstrates mastery, the support adapts to the areas that still need attention.