Choose learning support by evidence, fit, and the next useful step

Compare courses and tutors, understand the programme, start with a lower-risk lesson, and receive progress information that explains what happens next. Check the intended learner, prerequisites, programme, sample lesson, teacher identity, assessment approach, and refund terms.

The connected steps are Define the need → Compare options → Try a lesson → Review feedback → Adjust the plan. Each result remains inside SubSchool, where the teacher can inspect and edit it before the next step.

Check the intended learner, prerequisites, programme, sample lesson, teacher identity, assessment approach, and refund terms. Only use source material you are authorised to process, and remove unnecessary personal or sensitive information.

Useful reporting connects completed work, observed difficulties, feedback, and the next plan without pretending every number is precise. AI can prepare or assess a first pass, but the educator controls source material, assignment, publication, the final score, and student-facing feedback.

Automated feedback can help teachers work faster, but teachers should review important assessment and parents should know who made the final decision. You can keep work private as a draft, test the complete flow with example data, and publish or assign it only after review.

Useful reporting connects completed work, observed difficulties, feedback, and the next plan without pretending every number is precise. Live lessons, recordings, follow-up practice, feedback, and learner progress can stay in the same connected workflow.

Automated feedback can help teachers work faster, but teachers should review important assessment and parents should know who made the final decision. Educators can choose public or private access and decide whether learners buy a full course, a smaller learning unit, or join through their school.