Readiness

Student onboarding

4/5

Evidence: Learner profiles capture stage, subject, pathway, age band, confidence, goal, style, pace, practice pattern, support notes and accessibility preferences.

Gap: Needs richer age-specific copy, dynamic reading-level adjustment and usability testing with learners across access needs.

Learner model

3/5

Evidence: Profiles track concepts, mastery states, evidence counts, scores, confidence, misconceptions, review timing, difficulty, emotion signals, reflections, frustration and confidence calibration.

Gap: Needs stronger psychometric validation and multi-session calibration.

Subject concept map

3/5

Evidence: EYFS to A-Level coverage includes starter concepts, prerequisites, problems, mastery signals, remediation, extension paths, validation markers, structural audit coverage and a live curriculum review queue.

Gap: Needs completed expert-reviewed depth for each subject, exam board and nation-specific variant before production trust.

Diagnostic assessment

3/5

Evidence: Subject diagnostics update concept-level evidence and progress states using rotating recall, explanation and application rubric dimensions.

Gap: Needs larger item banks, adaptive branching and externally validated rubrics.

Adaptive lesson generation

3/5

Evidence: Lessons adapt by stage, concept metadata, prior evidence, hints and remediation outcomes.

Gap: Needs stronger generation control, content review and multiple lesson formats per concept.

Comprehension measurement

3/5

Evidence: Checks classify unsupported, misconception, partial and correct evidence with scores, confidence, scaffolding and explicit evidence dimensions: recall, procedural fluency, explanation, application, transfer, error correction, teach-back and confidence calibration.

Gap: Needs subject-specific rubric validation, calibrated item difficulty and delayed retention evidence across real learners.

Feedback and remediation

3/5

Evidence: Misconceptions trigger targeted next actions; concepts expose remediation strategies.

Gap: Needs more nuanced misconception taxonomies per subject and worked-example remediation.

Progress tracking

4/5

Evidence: Dashboards, learner model, educator view, aggregate analytics and records page expose progress, scores, learning gain, misconception hotspots and evidence.

Gap: Needs charts, cohort trends and longitudinal reporting.

Memory and continuity

3/5

Evidence: Accounts persist learner profiles; share codes allow controlled adult access.

Gap: Needs password reset, multi-learner account management polish and production session policies.

Safety and accuracy

3/5

Evidence: High-risk learner inputs create safety audit events, stay open for review, require no mastery advancement; younger learner profiles can record guardian acknowledgement; curriculum concepts can be blocked or sent for revision by reviewers.

Gap: Needs external safeguarding review, operational ownership, moderation tooling and expert content accuracy review before production.

User experience

3/5

Evidence: Core flows are navigable in browser across desktop and mobile-sized viewport.

Gap: Needs usability testing with real learners across age ranges and assistive needs.

Technical reliability

3/5

Evidence: Django tests cover coverage, learning flows, safety, account persistence, privacy, adult access and operations; CI runs checks, migration drift detection and tests; server exceptions are captured into an operational event trail; backup, smoke and learning-load commands can record operational evidence.

Gap: Needs deployment config, external monitoring, alerting, production database setup and high-volume load testing.