ScaffoldPath

Personalized educational support

Supports that know
when to step back.

ScaffoldPath turns a structured learner profile into an evidence-based support plan, then tracks daily practice and growing independence — fading each support as it becomes unnecessary.

How it works Evidence library

Grounded in public evidence standards

  • NCAEP National Clearinghouse on Autism Evidence and Practice The autism-specific evidence foundation — which practices count as evidence-based.
  • AFIRM Autism Focused Intervention Resources & Modules Implementation know-how — how to plan, use, and monitor each practice.
  • WWC What Works Clearinghouse Research verification — the evidence tiers and effect sizes behind our ratings.
  • CAST Universal Design for Learning (UDL) Design for learner variability — reducing barriers in engagement and representation.

Strategy records cite these public sources; evidence ratings follow a documented rubric — never invented claims.

How it works

The system as a loop. A structured intake becomes your learner profile, which feeds rule-based matching and ranking — no free-form AI — against the evidence-informed strategy database: public research distilled, rated, approved, published and versioned by people. Your personalized plan arrives as a draft; its wording may be rephrased by a constrained AI within approved bounds, safety-validated with fallback to approved text, and you review and accept it yourself. Your learner practices two ways: off-screen in class and daily life, and with interactive supports in the app. Repeated check-ins build progress; trend detection needs two steady weeks before any adjustment is proposed; supports step back as independence holds — and the plan updates. The loop closes.
  1. A structured intake becomes your learner profile — never a deficit checklist.
  2. Public research reviews are distilled into an evidence-informed strategy database that people approve, publish, and version.
  3. Rule-based matching and ranking connect the two — no free-form AI. Your plan's wording may be rephrased by a constrained AI within approved bounds, safety-validated, falling back to approved text.
  4. You review and accept the personalized plan before anything changes.
  5. Your learner practices off-screen in class and daily life, and with interactive supports in the app.
  6. Repeated check-ins build progress; a trend must hold two full weeks before an adjustment is proposed; supports step back as independence holds — and the plan updates. The loop closes.

Where to go

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One clear schedule, one tap per task — at your learner's pace.

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