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soroban-abacus-flashcards
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4 Commits

Author SHA1 Message Date
Thomas Hallock 3c9406afc5 fix(practice): improve mobile layout + floating abacus positioning 
- Add bottomOffset/rightOffset to MyAbacusContext for virtual keyboard avoidance
- NumericKeypad sets offsets when mounted (48px bottom, 100px right)
- Floating abacus repositions above/beside keyboard in portrait/landscape
- PracticeSubNav: fix horizontal overflow with minWidth: 0 on flex children
- SessionProgressIndicator: allow proper flex shrinking
- ActiveSession: reduce padding/gaps, use flex layout to fill available space
- PracticeClient: use fixed positioning with proper insets for all orientations
  - Portrait: bottom 48px for keypad
  - Landscape: right 100px for keypad
  - Desktop: no offsets needed
- Prevent viewport scrolling during practice sessions

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
 2025-12-18 19:49:59 -06:00
Thomas Hallock 354ada596d feat(bkt): implement adaptive skill targeting with validated convergence 
BKT (Bayesian Knowledge Tracing) integration for intelligent practice:

Architecture:
- Separate cost calculation (fluency-based) from skill targeting (BKT-based)
- Cost controls difficulty via complexity budgets
- BKT identifies weak skills (pKnown < 0.5, confidence >= 0.3) for targeting
- Weak skills added to targetSkills in focus slots

New modules:
- src/lib/curriculum/bkt/ - Core BKT implementation
  - conjunctive-bkt.ts - Multi-skill blame distribution
  - evidence-quality.ts - Help level and response time weighting
  - confidence.ts - Data-based confidence calculation
  - skill-priors.ts - Initial P(known) estimates by skill type
- src/lib/curriculum/config/bkt-integration.ts - Targeting thresholds

Validation (journey simulator):
- Hill function learning model: P(correct) = exposure^n / (K^n + exposure^n)
- Per-skill assessment without learning pollution
- Convergence results: Adaptive reaches 80% mastery faster in 9/9 scenarios
- Adaptive reaches 50% mastery faster in 8/9 scenarios

Key changes:
- session-planner.ts: identifyWeakSkills() and addWeakSkillsToTargets()
- skillComplexity.ts: Always use fluency multiplier for cost (not BKT)
- comprehensive-ab-test.test.ts: Convergence speed comparison tests
- Updated learner profiles with realistic learning rates (K=25-60)

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
 2025-12-15 17:16:18 -06:00
Thomas Hallock f74db216da chore: remove abandoned 3d-printing feature 
Remove dead code from abandoned 3D printing initiative:
- Delete jobManager.ts (had unbounded memory growth)
- Delete openscad.worker.ts (unused)
- Delete 3D model files from public/
- Remove openscad-wasm-prebuilt dependency
- Clean up doc references

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
 2025-12-09 12:48:13 -06:00
Thomas Hallock 585543809a feat(practice): add three-part daily practice session system 
Implement complete daily practice session system with:

**Practice Components:**
- StudentSelector: Select which student is practicing
- ProgressDashboard: Show student's current level and progress
- PlanReview: Review and approve generated session plan
- ActiveSession: Main practice UI with three-part structure
- SessionSummary: Show results after session completion
- NumericKeypad: Touch-friendly number input for mobile
- VerticalProblem: Columnar problem display

**Session Structure:**
- Part 1 (Abacus): Physical abacus practice, vertical format
- Part 2 (Visualization): Mental math visualizing beads
- Part 3 (Linear): Mental math with sentence format

**Infrastructure:**
- Database schemas for curriculum, skills, sessions
- Session planner with skill-based problem generation
- React Query hooks for session management
- Consolidated device capability detection hooks
- API routes for curriculum and session management

**Problem Generation:**
- ActiveSession now uses actual skill-based algorithm
- Problems generated with appropriate skills constraints
- Storybook stories use real problem generation

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
 2025-12-06 12:23:53 -06:00