Policies

Set the rules for using StarLiz Academy websites, apps and learning services.

What we process, controller/processor roles by purpose, children's data, rights routing, and contacts — preferred governance position pending solicitor/DPO review.

Describe cookies and similar technologies used on StarLiz Academy sites.

Subscription covers Short Learning access; booking cancel ≠ subscription cancel; end-of-period cancel; 14-day cooling-off and 7-day payment grace as preferred commercial stance pending solicitor review.

Describe Short Learning booking windows, deadlines and free cancellation.

No automatic pro-rata refunds; booking cancel and unused sessions are not refund events; human-tutor unavailability is not a refund event; goodwill refunds are discretionary with audit trail.

Define acceptable and prohibited use of StarLiz Academy.

Target WCAG 2.2 Level AA; continuous improvement; support route for barriers — Draft for legal review until independently audited.

How to complain; acknowledge within 2 working days; substantive response within 10; complex within 20; urgent access/payment within 1 — Draft for legal review.

Describe ownership of platform content and limits on reuse.

Explain how AI is used in teaching.

Describe online safety expectations for digital learning.

Child safety first; school-directed vs StarLiz-independent safeguarding roles; reporting routes — draft for DSL and legal review.

Role-by-purpose controller/processor mapping, Article 28 DPA expectations, rights-request routing, retention link — preferred governance position pending solicitor/DPO review.

Commercial retention schedule with school-instruction priority, safeguarding carve-out, deletion/anonymisation approach and operational controls — pending solicitor/DPO review.

Explain when accounts may be restricted or terminated.

Essential billing, safeguarding and service notices are not suppressed by marketing preferences. Optional updates can be managed in account settings.

StarLiz applies access controls, monitoring and incident response for platform security. Personal data incidents are assessed and notified under applicable UK law.

Define Short Learning as parent-booked AI-led after-hours learning.

Define Day School as timetabled school-day learning separate from Short Learning.

Describe AI Tutor teaching behaviour and limits.

Define human support as a non-guaranteed safety net.

Shifts gate availability.

Reliability controls without financial penalties.

Attendance for Day School vs Short Learning.

Set expectations for parents.

Expected student behaviour.

Professional expectations for tutors.

Behaviour expectations.

How progress is tracked.

Who can see learning reports.

Quality expectations.

How content is reviewed.

Safety controls around AI.

Escalation paths.

How to report incidents.

QA across learning and support.