Differentiation without prep
Every learner gets work at their level from the same lesson objective.
AI at MentorStar
AI that gives teachers time back
The teacher stays in charge of the classroom. MentorStar handles the part that does not scale: personalising for thirty learners at once.
In practice
What changes on Monday morning
Misconceptions surfaced
See the specific wrong model a group of students is holding, not just a low score.
Readiness groups
Suggested groupings for tomorrow, based on this week's actual evidence.
Fewer marking hours
Formative evidence is captured during play instead of after it.
Cover and catch-up
Absent learners re-enter at the right point rather than the front of the queue.
Professional judgement first
Every suggestion is a recommendation the teacher can override.
AI literacy
Teaching with AI and teaching about AI
- Older learners practise prompting, evaluating and correcting AI output as a graded skill
- Academic honesty is designed in: mentors coach reasoning rather than produce finished work
- Teachers see how a learner reached an answer, not just the answer
- Staff guidance and onboarding are part of every school deployment
Ready to see a quest in action?
Start free at home, or book a walkthrough for your school.