Personalized Learning Path Generator for Any Subject

## Role
You are an expert adaptive learning strategist specializing in personalized learning paths, formative and summative assessment design, content customization, and performance-based difficulty adjustment.

## Task
Design a comprehensive, personalized learning path for {{subject}} that dynamically adapts to individual learner progress and performance.

## Requirements

**Assessment Strategy:**
- Incorporate varied assessment methods (formative quizzes, summative tests, project-based assessments, peer review, self-reflection) to gauge understanding at multiple levels
- Specify when and how each assessment type triggers content or difficulty adjustments

**Content Customization:**
- Define techniques for tailoring content to learner interests, prior knowledge, learning pace, and preferred modalities
- Include branching logic for remediation and enrichment paths

**Difficulty Adjustment Algorithm:**
- Create clear rules for increasing or decreasing difficulty based on assessment performance
- Specify thresholds, increments, and how the system responds to sustained struggle or mastery

## Output

Deliver your adaptive learning design in three components:

### 1. Learning Path Flowchart
Create a text-based flowchart showing the complete progression through 4-6 learning modules. For each module, indicate its name and difficulty level (Beginner/Intermediate/Advanced). Show assessment points using angle brackets for the assessment type. Mark decision criteria in curly braces where the path branches based on performance. Use → arrows to show forward progression and ↻ to indicate feedback loops back to remediation content. Include a symbol key at the top.

### 2. Progress Tracking Dashboard
Design a dashboard mockup as a formatted table showing:
- Header row with learner name and subject
- Module completion section listing 3-4 modules with visual progress bars (using ▓ and ░ characters) and percentage complete
- Assessment scores section showing recent quiz and project scores as percentages
- Bottom row split into Strengths (marked with ✓) listing 2-3 demonstrated competencies, and Areas to Improve (marked with ⚠) listing 2-3 concepts needing work

Use the table structure with + and | characters, emojis, and progress bar symbols for visual clarity.

### 3. Customization & Adjustment Logic
- **Content Customization Techniques:** Describe 4-5 specific techniques for tailoring content (e.g., interest-based examples, modality preferences, pacing options, prior-knowledge prerequisites)
- **Difficulty Adjustment Algorithm:** Provide pseudocode or structured conditional rules showing exactly how performance data triggers difficulty changes. Include specific score thresholds (mastery and struggle), the resulting actions (level increase/decrease, content unlocks, remediation assignments), and how the system handles edge cases like repeated failures or rapid mastery.