With the concept of learning that is adaptive, the days of everybody in your organization getting the same — or perhaps similar — training is becoming part of the past. The access to new technologies, the needs of students, and the return on investment that adaptive learning delivers, are combining to make this method of creating e-learning material more and more common. What is flexible learning, though? It is a bit of jargon used in the e-learning sector that can have a real and positive effect on the functioning of your training approach. In its heart, adaptive learning is all about creating a personalized learning experience for every individual completing a course or module. A standard e-learning course is linear.
To put it differently, each pupil develops through the path together, the same path. With flexible learning, the path that the student takes varies according to the student. So, by way of instance, some students might cover subject areas that others don’t, and some students may get detail about a topic that others don’t require. Personalization Is the FutureThis drive for delivering personalized learning experiences is part of a broader trend that is impacting numerous regions of life. Personalization is one of the big buzzwords in the world today. Whether it is personalized products from manufacturers, prescribing personalized medicines, or enjoying personalized entertainment, there is an expectation now on businesses to deliver services and products on a personal level.
The manufacturing industry is a fantastic illustration of just how deep this is moving. Traditionally, an optimized manufacturing line generates the same thing as high of a quantity as possible as fast as possible. Today, however, manufacturers are moving towards having the capability to create an exceptional product for every consumer with the same amount of efficiency as fabricating one thing at a scale and in flip side, producing one exclusive, personalized product at a similar price to producing a generic product that is presented in a manufacturing run of thousands, tens of thousands, or more. This is crucial to understand as there are similar expectations when it comes to corporate coaching. Employees want content and training classes applicable to them personally, not coaching people in their department, or courses and content that are related to all those with their job title. Even if it was logistically possible, it is highly likely to be cost-prohibitive. E-learning, however, creates personalization possible.
The technologies involved, the abilities of instructional designers, and also the flexibility of e-learning means you can produce e-learning classes that use an adaptive learning approach. How it Works The crucial to making adaptive learning function is feedback. To put it differently, the e-learning course adapts to the student based on the input it receives. For instance, the feedback might be that the student has enough knowledge in a particular subject area. The path which student then chooses through the course will jump past the segments that cover the topic that they know. In e-learning, there are two main methods of doing so, i.e., two main methods for receiving feedback from students and then utilizing that information to create a standardized learning course. Let us look at both. Adaptive Learning by DesignThis strategy entails designing the e-learning course having an if-this-then-that plan. To put it differently, it is a rules-based approach.
As a result, the feedback is quite straightforward as it entails asking questions of the student directly. For instance, the course could ask the student which job function they match and how they rate their knowledge of a particular topic. The path the student takes is then dependent on their replies to these questions. Adaptive Learning by AlgorithmThis is also known as algorithmic adaptivity. It entails utilizing an algorithm to create experiences. Soan algorithm could discover a student is getting all the questions in a quiz right and is answering them. In this circumstance, it might suggest a new learning path that skips content that the student appears to know, or it may begin to give the student more difficult questions.
Another instance is where an algorithm detects a user that is getting a lot of questions in a quiz incorrectly and is taking a long time to finish the examination. In this circumstance, the learner repeats content that could be suggested by the algorithm. It might also supply the student offshoot material that is not part of the main course but will help with the topic that the pupil is struggling with.
The Benefits of Adaptive Learning
Whatever strategy you take to executing adaptive learning in your training plan; it will need an investment in money and time. Here are the advantages that flexible e-learning classes provide in return for this investment: Enhances results — students will probably grasp the subject matter quicker, and they will retain the information as it will make more sense to them. Increases satisfaction — flexible learning prevents students from becoming frustrated with a course they think is progressing too slowly while also helping assemble the confidence of students who need additional time, help, and support. Makes learning quicker — as students don’t have to finish sections on topics they are already familiar with, they will undergo the path faster. Creates behavioral change — many training in corporate environments is about producing behavioral change.