It is January 2020, the start of a new decade, characterized by a proliferation of articles predicting trends that will dominate the learning industry. These articles always seem to put pressure on me to quickly learn new skills before my skillset becomes obsolete. Only one article predicted that HTML5 would […]
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, […]
I remember when the topic of learning styles was all the rage. Now I am hearing that the theory of learning styles has been pretty much debunked. Where do you stand? Are learning styles more fact or fiction? One reason why this may be difficult to answer is that the […]
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 […]
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 […]
With the recent forays of artificial Intelligence (AI) in education there seems to be some confusion with how the terms adaptive and personalization are used. I am increasingly seeing the term adaptive learning used, but is the learning process really adapting, and if so, to what is it adapting? Even […]
Learner Intelligence (LI) design easily blends with other design strategies and is not an “all or nothing” design decision. A common blended design is when a course starts in a linear fashion because the content is required and remains the same for all users. Then at some point during the […]