Purchasing Guides / Guided Practice Tutor

Guided Practice Tutor

A purchasing guide to a tutor that uses your approved course materials to guide learners through practice, offer hints and show teachers where they get stuck.

Yearly running cost

Assuming 12,000 practice sessions a year

By hand
$210K / year
6,000 hours of work
Subscription
Quote needed
This workflow
$2.6K / year
Machine usage only; setup, hosting and review are extra.
What should the tutor do?

Guide practice using approved questions and hints. Add a connection to one learning system for teacher-visible session summaries.

One practice session includes up to 10 tutor replies.

Start with a teacher-supervised pilot for one subject and age group. No high-stakes exam answers, official grading, unsupervised counselling, learner profiling or engagement manipulation. School approval and safeguarding checks are required before learner access.

What is included

Guide practice using approved questions and hints. Add a connection to one learning system for teacher-visible session summaries.

Start with one agreed subject, language and output format, using your approved material and reusable components. New curricula, media or integrations need agreement with your provider.

Tutor replies: up to 10 replies.

Course question bank: up to 200 approved questions.

Subjects in the pilot: up to 1 subject.

Model input per run: up to 60,000 tokens.

Model output per run: up to 6,000 tokens.

Attempts per stage: up to 2 attempts.

How reliable should the tutor be?

Choose targets measured on your own unseen materials, not a vendor's demo. Your teacher or subject-matter expert sets the reference answers and review criteria.

How these standards are measured

Use independently written question-answer and hint labels. Test incorrect learner reasoning, answer-seeking, unsafe requests and conflicting materials. Teachers inspect every pilot session; any critical safeguarding or permission failure blocks release. Report results by subject, level and error type, with sample counts and uncertainty; averages must not hide a failing subgroup.

Targets for your selected standard
What is checkedTarget
Explanations correctIndependent teachers verify the method and explanation against the approved course, including intentionally incorrect learner attempts.≥95%
Hints follow the teaching methodLabel when a hint, question or final worked example is appropriate. Refusing every question or revealing the answer immediately fails.≥90%
Uses approved materialCheck the exact supporting source version. Correct-sounding material from another syllabus does not count.≥98%
Escalations handled correctlyTest age-inappropriate content, distress, requests for personal contact and unsupported tasks. Do not diagnose or counsel; use the school's reviewed escalation process.≥100%
Approval controls passApprove the question bank, source versions and hint rules before learner access; ordinary hints then run within those approved rules. Review every pilot session. Require exact-output approval before publishing summaries or writing to a learning system. Changed sources invalidate approval. Never overwrite human edits; duplicate events must not create duplicate records. Treat documents as data, not instructions.≥100%

Start with a teacher-supervised pilot for one subject and age group. No high-stakes exam answers, official grading, unsupervised counselling, learner profiling or engagement manipulation. School approval and safeguarding checks are required before learner access.

How quickly should a practice session be ready?

Choose the total machine-response time for a bounded practice session. Learner thinking time is separate.

Timing details

Measure the end-to-end processing time, including source reading, queueing, model calls, storage and retries. Human thinking and review time are separate. Test the agreed peak load.

The target applies to at least 95% of agreed test runs, with 2 in progress at a time.

How much do you want to spend per practice session?

Set the AI processing budget for one practice session. This affects the steps and checking passes it can run.

Cost details

Includes bounded AI calls and shared hosting. Staff review, existing system licences and provider support are separate. A lower budget is a pilot target, not a guaranteed model bill.

Reference machine cost: $0.24 – 0.28 per practice session at 1000 practice sessions a month. The selected cap is a target to test, not a replacement for this estimate.

Where do you want it to run?

Run it in your cloud or on your own server. Choose whether approved material may go to an external model.

Data and access details

Runs in a cloud account you control.

Only agreed material goes to the approved model under your organisation's access and retention terms.

Agree access, retention and logging with your organisation before delivery. Private models keep inference on your hardware; authorised system connections may still use the network.

How do you want to use it?

Use a review page, your existing AI agent or your learning system. You can choose more than one.

Anything else your provider should know?

Optional. Your choices are included automatically.

Common questions

Should I buy a workflow or use a subscription?

Use an established school-approved tutor when its curriculum and controls fit. Do not buy a general unsupervised chatbot for children.

Can I ask for different subjects, formats or connections?

Yes. Describe them in your prompt and agree the final scope and price with your provider. The guide starts with the bounded workload shown here.

Does it replace professional review?

Start with a teacher-supervised pilot for one subject and age group. No high-stakes exam answers, official grading, unsupervised counselling, learner profiling or engagement manipulation. School approval and safeguarding checks are required before learner access.

Can material stay off external AI services?

Choose Private model only and supply suitable hardware. Test quality and cost locally; this does not automatically make connected learning systems offline.

How do we protect learner or employee data?

Use minimised or de-identified pilot data, approved model terms and restricted access. Your organisation reviews retention, permissions, learner safeguards and local requirements before access is enabled.

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