The core principle behind Learner Intelligence (LI) is that “learners, given the option, will always choose the way he or she learns best.” The more choices a learner has, the more personalized the learning experience will be. Which is why the LI Adaptive Design model calls for a personalization menu […]
The key to adaptive design and personalization is user choice. This is true whether an AI system is generating suggestions or if the Learner Intelligence (LI) adaptive model is used. One of the core tenants of LI is that given a choice, the learner will always choose how he or […]
There are different approaches to personalizing learning. One of the simplest approaches used by some AI platforms is to provide a recommendation engine. Courses are recommended based on the learner’s past performance with other courses. This is similar to the way Amazon and Netflix offer suggestions. Even though the courses […]
Creating an adaptive course may seem intimidating at first, especially since many of the discussions center around using AI. Today I break the Learner Intelligence (LI) model down into three simple steps that include the learner, content, and navigation. As an instructional designer you will most likely already be familiar […]
In honor of the Independence Day holiday today’s post revolves around freedom, specifically the freedom for the learner to personalize learning. The core principle behind Learner Intelligence (LI) is that given the freedom to choose the learner will always choose the way he or she learns best. It would be […]
