📈 Learning Velocity Tracking

FlashGenie's Learning Velocity Tracking provides predictive analytics to forecast your mastery timeline and optimize your learning efficiency.

🎯 What is Learning Velocity?

Learning Velocity measures how quickly you're progressing through your learning material. It tracks:

• Cards per day - How many cards you're processing
• Mastery rate - Percentage of cards you've mastered
• Retention curve - How well you retain information over time
• Efficiency factor - How efficiently you're learning compared to optimal patterns

📊 Key Metrics

Velocity Indicators

FlashGenie tracks several key velocity indicators:

Metric	Description	Ideal Range
Cards/Hour	Cards processed per hour of study	15-30
Mastery Rate	Percentage of mastered cards	Steady increase
Retention Score	How well you retain over time	0.7-0.9
Learning Efficiency	Actual vs. optimal learning	0.6-1.0

Mastery Prediction

# Predict mastery timeline
python -m flashgenie velocity "Spanish Vocabulary" --predict

Sample output:

Current mastery: 43% (86/200 cards)
Predicted 80% mastery: 14 days (±2 days)
Predicted 95% mastery: 31 days (±4 days)
Confidence interval: 85%

🚀 Using Learning Velocity Tracking

Basic Usage

# View basic velocity metrics
python -m flashgenie velocity "Spanish Vocabulary"

Advanced Analysis

# Comprehensive velocity analysis with predictions
python -m flashgenie velocity "Biology" \
  --predict \
  --confidence-interval 0.95 \
  --lookahead-days 60 \
  --chart

Available Parameters

Parameter	Description	Example
--predict	Enable prediction mode	--predict
--confidence-interval	Statistical confidence	--confidence-interval 0.9
--lookahead-days	Prediction horizon	--lookahead-days 30
--chart	Generate visual chart	--chart
--export	Export data	--export velocity.json

📈 Visualizing Your Progress

FlashGenie provides several visualization options:

# Generate velocity chart
python -m flashgenie velocity "Spanish" --chart --export chart.html

# View learning curve
python -m flashgenie velocity "Spanish" --learning-curve

# Compare multiple decks
python -m flashgenie velocity "Spanish" "French" "Italian" --compare

🧪 The Science Behind It

Learning Velocity Tracking is based on:

• Ebbinghaus Forgetting Curve - Mathematical model of memory decay
• Spaced Repetition Optimization - Ideal review intervals
• Bayesian Prediction Models - Statistical forecasting with uncertainty
• Learning Efficiency Metrics - Comparative performance analysis

🔮 Predictive Features

Mastery Timeline

Predicts when you'll reach specific mastery levels:

# Predict days to reach 90% mastery
python -m flashgenie predict mastery-timeline \
  --deck "Spanish Vocabulary" \
  --target 0.9

Study Requirements

Forecasts study time needed to reach goals:

# Predict study time required for mastery
python -m flashgenie predict study-time \
  --deck "Biology" \
  --target 0.95 \
  --by-date "2023-12-31"

Struggling Card Prediction

Identifies cards you're likely to struggle with:

# Predict potentially difficult cards
python -m flashgenie predict struggling-cards \
  --deck "Physics" \
  --threshold 0.7

🎯 Optimizing Your Learning Path

FlashGenie can recommend optimal learning paths:

# Get recommended learning paths
python -m flashgenie recommend-paths \
  --deck "Spanish Vocabulary" \
  --available-time 30 \
  --days-per-week 5

Sample output:

Recommended Learning Paths:
1. Conservative (95% confidence): 20 min/day, 5 days/week, 8 weeks
2. Balanced (80% confidence): 30 min/day, 5 days/week, 6 weeks
3. Aggressive (60% confidence): 45 min/day, 5 days/week, 4 weeks

📊 Tracking Long-Term Progress

Monitor your learning velocity over time:

# View velocity trends
python -m flashgenie velocity-trends \
  --deck "Spanish Vocabulary" \
  --period 90

🎯 Tips for Improving Learning Velocity

1. Consistent daily practice - Even 10-15 minutes daily is better than occasional long sessions
2. Focus on struggling cards - Target cards with low retention scores
3. Optimize study environment - Minimize distractions during study
4. Use memory techniques - Mnemonics and visualization improve retention
5. Follow optimal break schedules - Take breaks at recommended intervals

🚀 Next Steps

• Adaptive Study Sessions - Optimize your study sessions
• Contextual Learning Engine - Adapt to your environment
• Performance Analytics - Dive deeper into your learning data

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FlashGenie v1.5.0 | Last updated: June 2025