---
name: micro-learning
description: 'Content chunking, mobile-first learning, spaced delivery, engagement patterns, and platform best practices'
metadata:
  author: cosmicstack-labs
  version: 1.0.0
  category: education-learning
  tags: [micro-learning, education, mobile-learning, engagement, training]
---

# Micro-Learning

Design bite-sized learning experiences that fit into busy schedules.

## What is Micro-Learning?

| Feature | Traditional | Micro-Learning |
|---------|-------------|----------------|
| Duration | 30-60 min | 2-10 min |
| Format | Lecture, textbook | Video, quiz, interactive |
| Focus | Multiple topics | Single concept or skill |
| Schedule | Fixed time | On-demand, just-in-time |
| Retention | Variable | High (spaced, focused) |

## Design Principles

### 1. One Concept Per Module
Each micro-learning unit should teach exactly one thing:
- One formula or rule
- One step in a process
- One concept or definition
- One tool or technique

### 2. Structure Each Module
```
Hook (15s) → Why this matters
Core (2-5 min) → The concept, demonstrated
Apply (1-2 min) → Quick practice or scenario
Check (30s) → One question to confirm understanding
```

### 3. Mobile-First Design
- Vertical video (9:16 aspect ratio)
- Large text, high contrast
- Touch-friendly interactions (tap, swipe)
- Offline-capable
- Progress sync across devices

## Engagement Patterns
- **Streaks**: Daily login rewards (Duolingo model)
- **Push notifications**: Reminders (not spam)
- **Leaderboards**: Optional, opt-in competition
- **Badges**: Complete a series → earn recognition
- **Social sharing**: Post achievements

## Delivery Strategy
- New module every 1-3 days
- Spaced review: previous module content appears 1, 3, 7 days later
- Just-in-time: deliver module right before user needs it
- Seasonal: align with calendar events or product launches

## Platform Best Practices
- Track completion rate (target >70%)
- Track assessment score (target >80%)
- A/B test module length, format, and schedule
- Survey learners after each series for improvement
- Iterate based on where learners drop off