What is Adaptive Learning and Why Is It Important?

What is Adaptive Learning and Why Is It Important?

Education, be it academics or corporate training, is swiftly getting more and more learner-centric with passing time, which is a fantastic thing. The learner should be at the center of learning, and how that learning is delivered should be adjusted according to the preferences of the learner.

Adaptive learning is a strategy used in eLearning nowadays, although it has been in existence since the late 1950s. Adaptive learning works exactly how it sounds like, because it adapts the eLearning content according to the learner’s choices and performance.

How Is Adaptive Learning Different?

Most learning models are fixed and every learner is given the same standard course to complete. However, we know that not all learners are the same. They are different in age, tech-proficiency and learning styles. Adaptive learning continuously collects and analyzes student data to automatically change what a student sees next, thus completely personalizing the learning experience for the learner.

Why is Adaptive Learning Important?

Adaptive learning is important because it has the potential to revolutionize corporate training as we know it. Its ability to adapt to each employee’s learning needs means that it is the ultimate learning tool, and leaves very little room for error. When each employee is flawlessly trained, the organization meets its business goals more efficiently and swiftly. Understanding the benefits of adaptive learning, which are manifold, will help you grasp its importance. Let’s have a look:

1. Laser-like Focus on Learner

Well, it doesn’t get any more focused than this. Adaptive learning is meant for the individual learner. The algorithms in an adaptive learning system offer personalized feedback and change according to the learner’s responses. This means that each learner’s learning experience is unique.

2. Unique Learning Paths

How exactly is each learner’s learning experience different, you might ask? Well, the data that the adaptive learning system collects from the learners is used to personalize goals, learner content and an effective learning path for each learner. The learning path, thus, is the chosen route taken by a learner through a range of e-learning activities, which allows them to build knowledge progressively. This allows them to master the topic of their choice in any way they desire.

3. Eliminates Irrelevant Learning

In standard courses, the learner has to go through each topic in the course, regardless of whether they have already mastered it, leading to wasted time. Adaptive learning on the other hand, helps learners focus on the areas or topics they’re weak in, and focuses on strengthening those. As it is able to track a learner’s responses, it knows which topics the learner is good at, and which topics present a tough task for them.

4. Boosts Learner Confidence

When learners understand that the whole learning experience is centered around them, they need not worry about missing out on certain areas/topics. The adaptive learner will make them repeat it unless and until they’re masters in each topic. This reassures the learners, boosting their confidence.

The amount of promise that adaptive learning shows, you can be sure that it is here to stay. It is already used in a number of successful organizations for employee development, as well as a number of fields outside of education and learning. Adaptive learning will only continue to improve, as it is still a relatively new technology. Its potential is tremendous, and is bound to be a successful element to implement in your corporate learning program.


If you would like to learn more about how to build the most effective employee training strategy!

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