Must-have Adaptive Learning Features For Your Platform

blog-banner-16-01

Adaptive learning aims to transform a learner from being a passive receptor of training information to a collaborator actively engaging in the learning process. Computer algorithms and AI systems make course presentations and delivery formats based on this principle. It looks at ways to customize learning activities to cater to each learner’s unique and individual needs. In an earlier post we elaborated upon the merits of incorporating adaptive learning into your corporate training program and in this post we will delve into a few must-have adaptive learning features that your Learning Management System (LMS) should incorporate for the benefit of your employees.

  1. A COURSE AUTHORING TOOL

While many training themes and programs may be organisation agnostic, there is still a large plethora of skills that are organisation specific. The skills required of your employees, many a time, will be specific to a certain internal function or department that is unique to your organisation. In such a scenario, having tailor-made training content to equip your employees with the necessary skill is best done through a course that you design internally. This will help you design content that will aid in achieving your exact organizational goals and needs, and places you at the helm of your employees learning curve.

  1. GAMIFIED CONTENT

It is imperative that you ensure your Learning Management System is adapted to provide your employees with gamified content. Keeping in tune with the Adaptive Learning principles, all gamified content should also be tailored to the employees individual learning style. This makes the learning more engaging and retentive, especially if the gamified content is designed to adapt to the employees’ learning style in real-time.

  1. PERSONALIZED CONTENT

Delivering training with a personalized touch can really make a huge difference in the employee’s uptake of the learning material. Inculcate personalized journeys in your course design. This way, the learner can choose which path they would like to choose in each module. For example, a developer may want to know more about the skills required to progress in her career and these skills may not be the same for a business development executive who is also looking to progress in his career. Therefore, personalized content will help employees from different functional backgrounds to choose modules that will help them individually, without having to sit through modules that are not relevant to them.

  1. IMMEDIATE FEEDBACK AFTER ASSESSMENT

Adaptive Learning is best administered on Learning Management Systems that have features to provide immediate assessment of employee performance. Instant assessment and feedback can help employees determine the next course to navigate towards as well as help direct them towards more relevant information. This feedback system must also be real-time in order for it to be most effective for the employee’s learning curve.

Adaptive Learning, in essence, is an effort towards personalizing learning as trainers begin to gradually realise that the age old policy of one-size-fits-all may be counter-productive. In fact, Adaptive Learning as a method of training itself has been incorporated on the basis of well-researched theories. Algorithms are used to learn and understand a learner’s confidence with a module, time taken to understand it, level of accuracy during assessments and then subsequently provide them with content that best suits their style. It helps trainers and learners identify weaknesses and deliver more content to strengthen weak areas of learning. And it does so by actively engaging the learner through gamification thereby allowing the learner to feel more in control of their own learning process. These features of adaptive learning have made it a popular choice amongst trainers and learners alike.

 

Recent Posts