🧠 Adaptive Study Sessions

FlashGenie's Adaptive Study Sessions use AI to create personalized study plans based on your context, preferences, and learning patterns.

🎯 What Are Adaptive Study Sessions?

Adaptive Study Sessions are AI-powered study plans that optimize your learning by considering:

• Available time - How much time you have to study
• Energy levels - Your current mental state and focus
• Environment - Where you're studying (home, commute, etc.)
• Learning goals - What you want to achieve
• Historical performance - How you've performed previously
• Card difficulty - The challenge level of your content

💡 Key Features

Dynamic Session Structure

Each adaptive session is structured into phases:

1. Warmup Phase - Easy, familiar cards to build confidence
2. Core Learning Phase - Balanced mix of new and review cards
3. Challenge Phase - Difficult cards when your focus is optimal
4. Cooldown Phase - Reinforcement of key concepts

Intelligent Break Scheduling

# Create a plan with automatic break scheduling
python -m flashgenie plan "Biology" --time 45 --energy 4

The system will suggest optimal break timing:

Recommended breaks: 12min, 27min, 38min

Environment Awareness

# Create a plan optimized for mobile study during commute
python -m flashgenie plan "Spanish" --time 20 --environment commuting

The system adapts to different environments:

• Quiet environments - More challenging content, deeper learning
• Noisy environments - Shorter, more focused cards
• Mobile environments - Simplified interaction, visual emphasis

🚀 Using Adaptive Study Sessions

Basic Usage

# Create a basic adaptive plan
python -m flashgenie plan "Spanish Vocabulary" --time 30

Advanced Usage

# Fully specified adaptive plan
python -m flashgenie plan "Biology" \
  --time 45 \
  --energy 4 \
  --environment quiet_home \
  --goal mastery \
  --device desktop

Available Parameters

Parameter	Description	Values
--time	Available study time (minutes)	5-180
--energy	Current energy level	1-5
--environment	Study environment	quiet_home, noisy_public, commuting, workplace, bed
--goal	Learning goal	review, acquisition, mastery, test_prep
--device	Device type	desktop, laptop, tablet, smartphone

🧪 The Science Behind It

FlashGenie's adaptive sessions are based on cognitive science research:

• Spaced Repetition - Optimized review intervals based on the forgetting curve
• Desirable Difficulty - Calibrated challenge levels for optimal learning
• Cognitive Load Theory - Balanced mental effort for effective learning
• Circadian Rhythms - Alignment with natural energy patterns
• Context-Dependent Memory - Environmental factors in memory formation

📊 Example Study Plans

Morning Study Session (High Energy)

python -m flashgenie plan "Biology" --time 45 --energy 5 --environment quiet_home

Generates a plan with:

• 10-minute intensive new card learning
• 25-minute challenging review
• 5-minute mastery reinforcement
• 5-minute breaks distributed optimally

Quick Commute Review (Medium Energy)

python -m flashgenie plan "Vocabulary" --time 15 --energy 3 --environment commuting

Generates a plan with:

• Short, focused card reviews
• Mobile-optimized presentation
• Interruption-resistant sequencing
• No scheduled breaks

Evening Wind-Down (Low Energy)

python -m flashgenie plan "Light Reading" --time 20 --energy 2 --environment bed

Generates a plan with:

• Easy, familiar content
• Gentle pacing
• Confidence-building progression
• Relaxed interaction style

🔍 Viewing and Analyzing Plans

# View your last study plan
python -m flashgenie plan-history

# Analyze plan effectiveness
python -m flashgenie plan-analysis "Spanish Vocabulary"

# Export plan to calendar
python -m flashgenie plan-export --format ical

🎯 Tips for Effective Adaptive Sessions

1. Be honest about your energy level - The system works best with accurate input
2. Specify your environment - Environmental context significantly impacts learning
3. Set clear goals - Different goals lead to different optimal structures
4. Follow break recommendations - They're scientifically calculated for optimal retention
5. Provide feedback - Rate sessions to improve future recommendations

🚀 Next Steps

• Learning Velocity Tracking - Understand your learning speed
• Contextual Learning Engine - Explore environment adaptation
• Advanced Usage Patterns - Master complex study workflows

---

FlashGenie v1.5.0 | Last updated: June 2025