Education OS — Load Repair Loop Specification

Version: v1.0 (Public Protocol)
Use When: L-FAIL dominant
Goal: Make performance stable under time, pressure, fatigue, and real-world constraints

Purpose

Load Repair converts fragile learning into pressure-stable capability.

Load failure is the root cause of:

  • “Careless mistakes”
  • “Good in tuition, bad in exams”
  • Panic, blanking, rushing
  • Inconsistent performance
  • Adult relearning collapse under life stress

Load Repair builds execution stability.

Load Failure Signature (L-FAIL)

A learner is L-FAIL dominant when:

  • Accuracy collapses under time
  • Rushing causes error spikes
  • They panic or blank out
  • Performance varies wildly day-to-day
  • They cannot complete sets within time even if untimed work is fine

Load Repair Loop (Core Sequence)

Stabilize → Automate → Time-Scaffold → Stress-Inoculate → Retest

Step 1 — Stabilize

Goal: Remove chaos and re-establish baseline accuracy.

Actions:

  • Use easier versions of the same skill
  • Untimed practice only
  • Focus on correctness, not speed
  • Fix environment (same place, same time daily)

Pass indicator:
Accuracy stabilizes when untimed.

Step 2 — Automate

Goal: Reduce thinking load per step.

Actions:

  • Repeated execution of the smallest unit of the skill
  • Short bursts (2–5 minutes)
  • Aim for smooth, consistent execution

Pass indicator:
Core step can be executed quickly and cleanly without heavy thinking.

Step 3 — Time-Scaffold

Goal: Introduce pressure gradually.

Actions:

  • Start with generous time
  • Reduce time slowly across days
  • Keep accuracy target constant

Example scaffold:

  • Day 1–2: 5 questions / 10 min
  • Day 3–4: 5 questions / 8 min
  • Day 5–6: 5 questions / 6 min
  • Day 7: 5 questions / 5 min

Pass indicator:
Accuracy holds as time decreases.

Step 4 — Stress-Inoculate

Goal: Train real-world stability.

Actions:

  • One daily “exam sprint”
  • No pauses, no hints
  • After sprint: classify error types

Common load errors:

  • Rush errors
  • Misreads
  • Sequence skips
  • Slip errors
  • Attention drift

Pass indicator:
Error rate decreases week-to-week.

Step 5 — Retest

Run L-01 probe.

If L < 4 → repeat Load Repair loop.
If L ≥ 4 → integrate Transfer variations.

7-Day Load Repair Cycle (15–25 min/day)

Day 1: Stabilize + automate
Day 2: Automate + gentle timing
Day 3: Timed scaffold + error tracking
Day 4: Timed scaffold + exam sprint
Day 5: Faster scaffold + exam sprint
Day 6: Mixed mini-set under time
Day 7: Retest L-01 + compare accuracy drop

Upgrade Rule

When L reaches 4:

  • Increase complexity gradually
  • Add Transfer variants under time
  • Extend duration slowly

Canonical Closing

Depth builds capability.
Load makes it reliable.
Transfer makes it portable.

With this, your Education OS now has a complete tri-loop repair architecture that is stable across exams, careers, and life stages.