The right next question, for each learner.
A shared worksheet bores the strong and loses the weak. Personalised practice targets each learner's gaps — and keeps the teacher in charge of the curriculum.
Practice works best when it's aimed. An AI tutor aims it — at the gap, for this learner, right now.
How it targets the gap
- Reads recent performance — what the learner struggled with vs. mastered (from doubts and answers).
- Reinforces where weak, advances where strong — no wasted reps.
- Sequences difficulty to keep the learner in the productive zone.
Teacher sets the goals
Personalised practice is a recommendation, not the syllabus. The teacher sets standards and can override any suggestion — the tutor proposes, the educator disposes.
Why it sticks
Learners stay engaged when practice is neither too easy nor too hard. Matching difficulty to the individual is what turns practice from a chore into progress — the same principle behind the platform's adaptive learning.
FAQ
What is personalised practice?
Personalised practice gives each learner the next question that fits their level — reinforcement where they are weak, advancement where they are strong — instead of the same worksheet for everyone. An AI tutor generates and sequences this practice based on how the learner is doing, with the educator setting the curriculum and standards.
How does the tutor know what to practise?
From the learner's recent answers and doubts: where they struggled, what they got right, and how quickly. It targets the gaps rather than wasting time on what they already know.
Does the teacher stay in control?
Yes. Personalised practice is a recommendation engine, not a replacement for the syllabus. The teacher sets goals and can override any suggestion.
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