- 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>
- Add session 0 data to show initial mastery state before practice
- Single Skill tab: line thickness based on skill tier, category average toggles
- All Skills tab: session 0 for ghost lines and averages
- Fix broken GitHub link (was placeholder "...")
- Add source code links to test files that generate chart data
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Changed from heading-based injection to explicit marker comments:
- Markers like <!-- CHART: ValidationResults --> in markdown
- Charts now appear after explanatory text, not directly under headings
- Gives explicit control over chart placement in the document flow
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Explain the three classification zones (Struggling, Learning, Automated)
and their P(known) thresholds before showing the visualization.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Add 'adaptive-bkt' mode using BKT for both skill targeting AND cost
calculation (previously BKT was only used for targeting)
- Make adaptive-bkt the default problem generation mode
- Fix session-planner to include adaptive-bkt in BKT targeting logic
- Add fatigue tracking to journey simulator (sum of skill multipliers)
- Add 3-way comparison test (classic vs adaptive vs adaptive-bkt)
Validation results show both adaptive modes perform identically for
learning rate (25-33% faster than classic). The benefit comes from
BKT targeting, not the cost formula - using BKT for both simplifies
the architecture with no performance cost.
UI changes:
- Simplify Problem Selection to two user-friendly options:
"Focus on weak spots" (recommended) and "Practice everything"
- Remove jargon like "BKT" and "fluency" from user-facing labels
Blog post updated with 3-way comparison findings and unified
BKT architecture documentation.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Add validation section with convergence speed comparison results
- Document adaptive skill targeting architecture (separate from cost calculation)
- Add per-skill assessment methodology that doesn't pollute learning state
- Include test results: adaptive reaches 80% mastery faster in 9/9 scenarios
- Update abstract and summary with key findings
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
BKT estimates power the Skills Dashboard display only. Problem generation
uses separate fluency states (effortless/fluent/rusty/practicing) from
PlayerSkillMastery records, not BKT P(known) estimates.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Describes the pattern tracing system for soroban practice:
- Soroban pedagogy as visual-motor patterns drilled to automaticity
- Simulation-based pattern tagging at problem-generation time
- Conjunctive BKT with probabilistic blame distribution
- Evidence quality weighting (help level, response time)
- Automaticity-aware problem complexity budgeting
- Honest uncertainty reporting with confidence intervals
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>