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