| name | learning-recommendation-engine |
| description | Generate personalized content recommendations based on learner profiles, performance, preferences, and learning analytics. Use for adaptive learning systems, content discovery, and personalized guidance. Activates on "recommend content", "next best", "personalization", or "what should I learn next". |
Learning Recommendation Engine
Recommend optimal learning resources, activities, and pathways based on learner data and performance patterns.
When to Use
- Personalized content recommendations
- Next-best-action suggestions
- Resource matching
- Difficulty adaptation
- Intervention triggers
Recommendation Logic
- Collaborative filtering (learners like you learned X)
- Content-based (similar to what you've done)
- Performance-based (fill your gaps)
- Goal-oriented (towards your objectives)
- Engagement-based (what keeps you learning)
CLI Interface
/learning.recommendation-engine --learner-profile "profile.json" --context "struggling with calculus"
/learning.recommendation-engine --next-best-action --performance "recent-scores.json"
Output
- Ranked recommendations with rationale
- Personalized learning queue
- Intervention triggers
- Resource suggestions
Composition
Input from: /learning.pathway-designer, /curriculum.analyze-outcomes
Output to: Personalized learning experience
Exit Codes
- 0: Recommendations generated
- 1: Insufficient learner data
- 2: Invalid profile format