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Key Concepts for Adaptive Learning

Adaptive learning involves the use of technology that lets students enjoy custom learning experiences. It is quickly becoming a viable alternative to traditional learning — and looks poised to make waves among students worldwide in the years to come.   

How Does Adaptive Learning Work?   

Adaptive learning uses technology that tailors the presentation of learning materials in response to different factors. It is based on the following concepts: 

1. Personalization 

Imagine what it would be like if every student could enjoy a unique learning experience. Now, adaptive learning brings this concept to life via state-of-the-art technology.   

Adaptive learning powers personalized learning experiences. It tracks students’ progress as they complete various tasks and provides them with distinct learning environments. In doing so, adaptive learning delivers individualized support, so students are well-equipped to learn what they need to learn in a way that best suits them.  

2. Feedback 

There is no one-size-fits-all approach to teaching students about a wide range of topics. Thanks to adaptive learning, students can offer real-time feedback, and their learning experiences will be updated based on the insights they provide.   

Adaptive learning technology is linked to a learning management system (LMS) responsible for administration, documentation, tracking and reporting progress, and user management. The LMS ensures all student feedback is collected, evaluated, and applied throughout learning sessions. That way, adaptive learning technology consistently uses feedback to ensure that every student can enjoy a rich, fulfilling learning experience.  

3. Analytics 

Much in the same way students grow and evolve, adaptive learning technology does the same. To do so, the technology uses analytics to continuously learn about students and provide them with learning experiences that match their expectations.   

The analytics associated with adaptive learning ensure students can learn at the right pace and not get bored. They also help lead to learning experiences that are both engaging and challenging for students, regardless of their age or skill level.   

A Closer Look at Adaptivity   

To fully understand adaptive learning, it is essential to account for adaptivity as well.   

Adaptivity refers to mechanisms that define how adaptive learning technology adapts to students. There are two types of adaptivity: designed and algorithmic. Designed adaptivity refers to how an educator creates a content sequence that drives students toward becoming masters of various topics. Comparatively, algorithmic adaptivity involves the use of an algorithm to shape content.   

Factors that can impact adaptivity relative to adaptive learning include:  

  • Behaviors  
  • Performance  
  • Information  

Adaptivity factors can trigger a variety of student responses. Next, a student’s learning experience is then updated accordingly.   

The Bottom Line on Adaptive Learning  

Adaptive learning is leading to transformative learning experiences. Those who know the ins and outs of adaptive learning can help deliver learning experiences that deliver long-lasting benefits.   

Taking the Next Step in Your L&D Career? We Can Help!

For those who want to pursue L&D career opportunities and push the limits of adaptive learning globally, LTS can help. As a leading L&D staffing agency, our team can connect you with top L&D organizations and help you pursue your career goals. To find out more, please contact us today.   


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