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