Introduction
Adaptive learning systems adjust content and pacing based on learner performance. They provide personalization at scale.
How It Works
Algorithms track learner responses, adjust question difficulty, and recommend next steps.
Benefits
- Improved learner engagement
- Faster time to competence
- Data-driven insights for instructors
Case Example
A university used adaptive math modules. Students in adaptive cohorts scored 20 percent higher and completed material 25 percent faster.
Conclusion
Adaptive learning is powerful, but requires quality content and data governance to succeed.