Adaptive learning and personalized learning are two distinct approaches in the field of education that use technology to tailor learning experiences to individual student needs. However, they achieve this personalization in different ways and with varying focuses.

Adaptive learning is typically driven by algorithms and technology. It involves a system that adapts in real-time to a student’s interactions and demonstrated performance within a digital learning environment. The system responds to the learner’s inputs—be it answers to questions, time taken to solve problems, or choices made in a learning path—by adjusting the difficulty, type, or order of educational content that’s presented. This automated approach means the learning experience is fluid and consistently aligned with the student’s current ability level, aiming to keep them within their zone of proximal development. Some adaptive platforms may also provide feedback to educators about student progress so intervention can be tailored when necessary.

Personalized learning, however, is a broader concept. It’s not limited to adaptive technology but also includes tailored lesson plans, one-on-one tutoring sessions, and custom resources prepared by educators based on their understanding of each student’s unique needs, interests, goals, and skills. Personalized learning recognizes that students are diverse and require more than adjustments in difficulty level; they need varied teaching methods and a curriculum that reflects their own experiences and aspirations. Personalized learning can incorporate students’ input into their own educational process—allowing them choice and agency in what they learn and how they learn it.

In essence, while both adaptive learning and personalized learning aim to create a more individualized education experience, adaptive learning does so through algorithmic adjustments in digital environments whereas personalized learning encompasses a wider array of strategies including direct educator intervention and individual choice. Adaptive systems might be considered one tool within the broader scope of personalized education strategies.