Adaptive Learning

What is adaptive learning?

Adaptive learning is an educational strategy that tailors instruction to each learner’s unique needs and preferences, rather than using a one-size-fits-all approach. The individual’s learning style, skill level, and performance inform content, pacing, and feedback as they progress. Adaptive learning technology analyzes learner performance data to provide a more responsive and inclusive learning experience. This analysis is often powered by artificial intelligence (AI) systems. 

Example: Our L&D department’s new adaptive learning platform collects learner data to build personalized learning paths and provide real-time feedback. 

What are the benefits of adaptive learning? 

Adaptive learning systems make learning more efficient, engaging, and effective. Adaptive learning technology creates a dynamic training environment that reacts in real time to learner performance. These personalized learning paths lead to increased engagement, higher learner motivation, and improved learning outcomes. 

Learners spend less time on topics they’ve already mastered, and more time on areas for improvement. Training teams use this technology to increase the overall efficiency of their learning initiatives. This technology makes it easier to scale learning for large, diverse audiences, support inclusive and accessible learning, and bring in data that helps refine instructional strategies for better learner performance.