This week’s post is inspired by a 2018 movie called Upgrade. Without giving too much of the movie away, an AI chip is implanted into a paralyzed man to enable him to walk again. Sounds good right? It turns out that this chip can do a lot more than just […]
As we have discussed in previous posts, there are several different ways to personalize learning. Some AI applications generate personalized learning paths based on learner performance and background data such as job role. Other AI platforms make content suggestions based on the learner’s actions in a course. In both cases […]
After reading a post favoring active learning over passive learning I began to think about how personalized learning fits in. At first glance it might be easy to assume that personalized learning is more active than a more traditional linear course. However, some non-adaptive linear courses can be very engaging, […]
How do you serve multiple masters? Very often instructional designers are tasked with the challenge of satisfying many stakeholders with different learning objectives or priorities. One SME may want more technical information, a manager may want to emphasize the sales aspects, while the support team wants to address recurring issues. […]
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 […]
