The Adaptive Learner operating model

Turn learner evidence into coordinated next steps.

Adaptive Learner connects the work around a learner from setup and understanding through planning, daily delivery, review and governance—so evidence can carry forward into the next decision.

Enable → Understand → Plan → Deliver → Adapt → Govern

A practical loop for moving from context to action

Each stage helps the team carry useful context forward while people continue to work within their own responsibilities and access boundaries.

  1. Enable

    Set the team up so the right people can start with the right access and responsibilities.

    Connected evidence: Tenant setup, identity, assignments, authority and operational readiness.

  2. Understand

    Bring the learner story together before deciding what support should happen next.

    Connected evidence: Learner context, assessments, observations, curriculum and consent-shaped visibility.

  3. Plan

    Turn what the team knows into clear goals, supports, ownership and review points.

    Connected evidence: Goals, accommodations, strategies, evidence paths, ownership and review cycles.

  4. Deliver

    Make the plan useful in the moment by putting today’s supports and actions in front of the people doing the work.

    Connected evidence: Daily supports, learner activities, tasks, observations and evidence capture.

  5. Adapt

    Bring new evidence back into the conversation so the team can review what is helping and what should change.

    Connected evidence: Readiness signals, observations, trial strategies, recommendations and human-reviewed amendments.

  6. Govern

    Keep important decisions, access and evidence traceable as support evolves.

    Connected evidence: Consent and authority, audit and provenance, access reviews, security, readiness and restore evidence.

Role-shaped experience

Give each person the context they need—without giving everyone the same view.

Teachers, specialists, coordinators, families, governance teams and operations staff contribute through views shaped for their work. Access is still controlled by role, assignment, consent, authority and the learner context involved.

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Learner context
Daily supportRestricted reviewCoordinationFamily-safeGovernanceOperations

From evidence to action

Keep evidence connected to the next decision.

Evidence stays connected

Assessment context, observations, curriculum, plans, daily evidence and review decisions retain source and learner context.

Workflows make decisions visible

Review, approval, communication promotion and other high-impact actions move through service-backed state and attributable results.

Adaptation remains reviewable

Recommendations and draft changes can be explained, trialled and reviewed before they alter authoritative learner support.

Continuity beyond one school or tenant

Keep the learner story connected without collapsing who is authoritative.

First-class Family Tenant

A family can maintain an independent, durable learner continuity context across school or provider changes. Family-created observations and support remain Family-authoritative; copied school, clinic and professional records keep their original source authority and provenance.

Governed portability

When a learner moves, an approved transfer package can preserve published plans, verified evidence and continuity context. The destination validates and imports authorized history rather than rewriting source ownership or tenant identifiers.

Closed-loop handoff

Delivery is not treated as completion. Receipt, learner and information reconciliation, current destination authority, responsibility acceptance, the next accountable action and owner, acknowledgement and final completion remain explicit and reportable.

Provider-neutral integration

SIS, LMS and identity systems remain authoritative for the records and functions they own. Adaptive Learner coordinates intervention, evidence and continuity through governed mappings and interfaces instead of trying to become a second SIS.

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AI-native, human-governed

Use AI for drafting and recommendations while people keep control.

AI-native assistance can use approved, minimized context for system help, drafting/editing, transcript enrichment, adaptive recommendations, evidence/progress synthesis, assessment assistance, case-conference preparation, report narrative drafting and operations/governance review. Source context, provenance, review state, approved provider/model routing and budget controls remain visible. AI does not independently diagnose, grant access, publish authoritative learner records or mutate operational system state.

Human-governed boundary

Draft → review → revise/approve/reject → governed publication or trial.

See it as a story

Follow Maya through the operating loop.

The learner story shows the stages in sequence before a guided demo exposes deeper product detail.