What is the term for learning platforms that adjust content based on algorithms to enhance learning efficiency?

The term "adaptive learning" refers to personalized learning experiences that are dynamically tailored to meet the specific needs of each learner. These platforms utilize algorithms to analyze a student's performance and engagement in real time, adjusting content delivery and instructional approaches accordingly. This ensures that learners receive the right level of challenge and support, promoting a more effective and efficient learning process.

In contrast, collaborative learning emphasizes group work and teamwork, where learners engage with one another to achieve educational goals. Experiential learning focuses on learning through experience, emphasizing hands-on activities and real-world applications. Immersive learning typically involves engaging simulations or virtual environments to enhance understanding and skill acquisition. While all these approaches contribute to educational outcomes, they do not inherently involve the algorithm-driven content adjustments characteristic of adaptive learning.