Adaptive Learning is not a new concept, but it’s high time that we consider it. With technology allowing assessment and delivery, real-time personalization of content, adaptive learning is a major breakthrough in student experience and success.  It’s seen that the best teachers have always adapted their teaching to the requirements of their students, but with class sizes expanding, teachers find it really hard to rely on their own talents to keep everyone engaged and up to mark.

From past few years the idea of adaptive learning has gained more attention due to new product developments and the partnership created between e-learning software providers and education publishers.

What Adaptive Learning does?

Adaptive learning is an online educational system that understands a student and modifies the presentation of material accordingly. One thing that keeps adaptive learning unique is that it is focused on the use of technology to personalize learning.

In an adaptive learning solution, the system keeps a track of what a learner does. It’s smart enough to analyze a learner’s actions and is capable of adapting the training that better suits that individual, for instance by giving them access to more relevant learning materials.

Though this is all automated, it still requires a lot of human contribution, and actually requires even more content to be created. You should have materials ready for every scenario, so that the system can push learners towards them.

How Adaptive Learning Works?

In adaptive learning ‘Algorithms’ can work out the best possible intervention, given any number of actions the learner takes. For instance, if suppose the learner takes a test, the algorithm adapts the training according to the answers given. Not answering certain questions properly will activate the system to provide the learner with relevant content he must focus on, or the overall performance could determine which learning path they take. Sometimes even more advanced systems can step in, for example, if a learner is spending lots of time on one question or asking for lots of hints then the system unlocks an extra section of the course which breaks down the subject further and make it easier. Also the system has the capability to analyze in what form a student understands a content, whether in the form of text or videos.

Additionally, in adaptive learning platform, learners can also be grouped together based on their interests and actions. Also once a learner completes a particular piece of content then it could lead to other recommended content, which other similar learners have benefitted from.

Interventions aren’t just limited to the online world. An adaptive learning system can flag up when learners struggle with the program as a whole, alerting the training managers to step in and provide support.

Future Ahead

At present adaptive learning is fine on its way transforming the education sector, even though there is still a long way to go until it becomes the ‘standard’ for academic learning. Artificial Intelligence (AI) continues to improve as computer scientists toil away at their algorithms.

While in future we can expect AI able to create the content for us and the adaptive learning systems continue to get more and more complex. They will be able to better pair up learners with the perfect content, resulting into a creation of truly personalized learning program.

Tricon has been developing adaptive systems for some of the prestigious clients across the globe. Also it’s adaptive learning management system provides teachers and parents with a real-time view of the progress made by students along with an assessment report and system generated recommendations.