name: learning-pathway-designer description: Create personalized, adaptive learning pathways with branching logic, prerequisite tracking, competency-based progression, and mastery-based advancement. Use when designing adaptive curricula or personalized learning experiences. Activates on "learning path", "adaptive curriculum", "personalization", or "custom pathway".
Learning Pathway Designer
Design adaptive learning pathways that personalize content based on learner performance, preferences, and goals.
When to Use
- Personalized learning programs
- Competency-based education
- Adaptive curricula
- Self-paced learning
- Remediation/acceleration paths
Pathway Components
1. Prerequisite Mapping
- Define knowledge dependencies
- Create prerequisite trees
- Gate content by mastery
- Detect readiness
2. Branching Logic
IF mastery < 70% THEN remediation_path
ELSE IF mastery >= 90% THEN acceleration_path
ELSE standard_path
3. Competency-Based Progression
- Define competencies
- Map content to competencies
- Track mastery per competency
- Advance when ready
4. Personalization Rules
- Learning style preferences
- Pacing options
- Content format choices
- Interest-based examples
5. Mastery Criteria
- Performance thresholds
- Multiple evidence points
- Time-based vs. mastery-based
- Retry/reassessment policies
CLI Interface
/learning.pathway-designer --objectives "LO-1.1,LO-1.2,LO-1.3" --adaptive --prerequisites "path-to-prereqs.json"
/learning.pathway-designer --competency-based --competencies "competencies.json"
/learning.pathway-designer --visualize --pathway "data-science-pathway.json"
Output
- Pathway flowchart/diagram
- Branching rules specification
- Prerequisite graph
- Personalization logic
- JSON pathway definition
Composition
Input from: /curriculum.design, /learning.needs-analysis, /learning.diagnostic-assessment
Output to: LMS configuration, adaptive system setup
Exit Codes
- 0: Pathway created
- 1: Invalid prerequisite structure
- 2: Circular dependencies detected
- 3: Missing competency definitions