Together with the concept of learning, the times of everyone in your organization receiving the same — or quite similar — training are fast becoming part of the past. The availability of new technologies, the demands of learners, and the return on investment that adaptive learning provides, are combining to create this approach to creating e-learning material an increasing number of common. What is elastic learning though?It is a little jargon used in the e-learning industry that can have a real and positive effect on the performance of your training approach. At its core, adaptive learning is about creating a personalized learning experience to each person completing a class or module. A standard e-learning class is linear. In other words, each learner progresses through the course together the same path. With elastic learning, the route that the learner takes varies based on the learner. Therefore, for instance, some learners might cover issue areas that others do not, and some learners might get detail on a topic that others do not require. Personalisation Is the FutureThis drive for delivering personalized learning experiences is part of a broader trend that is affecting multiple regions of life. In fact, personalisation is just one of the big buzzwords in the planet today. Whether it’s personalized products from manufacturers, prescribing personalized medicines, or enjoying personalized entertainment, there is an expectation now on businesses to deliver products and services on a personal level. The manufacturing industry is a fantastic example of just how heavy this is going. Traditionally, an optimized manufacturing line produces the same thing as high a quantity as possible as fast as possible. Today, however, manufacturers are moving towards getting the capacity to generate a unique product for each consumer with the same amount of efficiency as manufacturing a single item in the scale. In the flip side, producing one unique, personalized product in a similar cost to creating a generic product that is manufactured in a manufacturing run of thousands, tens of thousands, or more. This is crucial to understand since there are similar expectations regarding corporate coaching. Employees increasingly need training classes and content relevant to them, not training classes and content that are relevant to people with their job title, or individuals in their department. Employees need deeper customization degrees than this. The Role of E-Learning In Delivering Fully Customized Training ExperiencesDelivering on this anticipation for deep customisation in the learning experience would be exceedingly tough to achieve with classroom-based learning. E-learning creates such personalisation potential. The technologies involved, the abilities of educational designers, and also the flexibility of e-learning means you can create e-learning classes that use a flexible learning approach. How that it works the key to creating adaptive learning work is comments. In other words, the e-learning course adapts to the learner based on the opinions it receives. For instance, the opinions might be that the learner has sufficient knowledge in a particular subject area. The route that learner then takes through the course will skip past the segments that cover the subject that they already know. In e-learning, there are two main methods of doing this, i.e. two main ways of receiving feedback from learners and then utilizing that information to create a personalized learning path. Let us look at both. Adaptive Learning by Design This method entails designing the e-learning class with an if-this-then-that strategy. In other words, it’s a rules-based approach. As a result, the comments are quite simple as it entails asking questions of the learner directly. For instance, the class could ask the learner which job role they match and/or how they rate their knowledge of a particular topic. The path the learner takes is subsequently dependent on their replies to those questions. Adaptive Learning by AlgorithmThis is also known as algorithmic adaptivity. It entails utilizing an algorithm to create experiences. So, an algorithm could detect that a learner is getting all of the questions in a quiz right and is calling them. In this situation, it might suggest a new learning route that skips content that the learner appears to already know or it could begin giving the learner harder questions. Another instance is where an algorithm detects a user that is getting a lot of questions in a quiz wrong and/or is taking a long time to finish the quiz. In this situation, the algorithm might indicate the pupil repeats content already finished. It might also supply the learner offshoot material that is not part of the major class but will help with the topic the learner is struggling with. The Benefits of Flexible LearningWhatever strategy you take to implementing adaptive learning on your training plan, it is going to require an investment in time and money. Here are the benefits that elastic e-learning classes provide in return for this investment: Enhances consequences — learners will grasp the subject matter quicker, and they will retain the information since it will make more sense to them. Increases satisfaction — elastic learning prevents learners from getting frustrated with a class they believe is progressing too slowly while also helping to build the confidence of learners who need more time, help, and support. Makes learning quicker — as learners do not have to finish sections on subjects they are already familiar with, and they will undergo the course faster. Creates behavioral shift — many training in corporate environments is about creating behavioral change.