Files
2026-04-26 16:34:52 +09:00

1.7 KiB

Phase 3 Plan: Learner Memory

Status: Ready for execution Phase Goal: Convert graded answer evidence into structured learner memory.

Requirements Covered

  • MEM-01: System stores learner profile with role, stack, timeline, and preferences.
  • MEM-02: System stores concept mastery states with evidence.
  • MEM-03: System stores recurring misconceptions with supporting answers.
  • MEM-04: System stores intervention history and review schedule.
  • MEM-05: Temporary session context does not become durable memory without evidence.

Tasks

1. Add learner memory package

  • Create internal/learnermemory.
  • Define profile, concept mastery, misconception, intervention, review schedule, and snapshot types.
  • Add in-memory store with clear interface.

2. Add memory extraction workflow output

  • Extend workflows.StubRunner.ExtractLearningMemory to return evidenced memory update candidates from a graded answer.
  • Ensure candidates without evidence are not applied.

3. Wire diagnostic answers to memory

  • Inject learner memory service into interview service.
  • After grading an answer, extract and apply memory updates.
  • Keep diagnostic session records and learner memory records separate.

4. Add memory read endpoint

  • Add GET /api/v1/learners/{userID}/memory.
  • Return learner profile, mastery, misconceptions, interventions, and review schedule.

5. Add tests and verification

  • Test memory applies only evidenced updates.
  • Test diagnostic answer submission updates learner memory.
  • Test memory HTTP read endpoint.
  • Run Go tests, OpenSpec validation, and line-count check.

Out of Scope

  • Persistent database.
  • Memory ranking/decay.
  • Progression readiness map.
  • Frontend UI.

Plan created: 2026-04-26