Trusted tutors are grounded in real data
Learners drop AI tools quickly when answers feel generic or off-syllabus. A trusted tutor needs context: past attempts, current mastery, tone, and goals.
LearnX feeds the tutor syllabus materials, assessment history, and classroom sentiment so responses stay accurate, supportive, and aligned to institutional policy.
Grounding the tutor with your syllabus and rubrics keeps answers useful and safe.
How to ground the tutor
Give the tutor the context and boundaries it needs to stay reliable.
- Ingest syllabus outlines, rubrics, and example answers.
- Connect assessment history so the tutor knows what’s already been tried.
- Add tone guidance for different audiences (supportive for students, concise for faculty).
- Set safety rails to avoid off-topic or speculative responses.
Plays to deploy safely
Roll out gradually with clear oversight and feedback loops.
Safe launch steps
Keep faculty in control while the tutor earns trust.
- Start with practice questions before enabling assessment help.
- Route flagged answers to instructors for quick review.
- Collect student feedback to refine tone and guardrails.
Key takeaways
- Ground AI tutors in your syllabus, rubrics, and learner history.
- Start with low-stakes practice before enabling graded support.
- Keep humans in the loop with feedback and quick flag reviews.