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 […]
As I wait for my delayed flight home from TechLearn 2019 I am thinking about my presentation on personalized learning that I gave earlier today. I was asked if even though the learning content was personalized, would everyone get the same exam? I knew right away, that would be a […]
I just finished reading Leveraging Personalized Learning to Increase Member Engagement on the ATD website. Andra Popescu presents a concise summary of the same three adaptive design steps that I have been explaining. To understand the learner, Andra suggests using the Socratic questioning techniques that I suggest using for building […]
Last week I had the privilege of presenting a webinar for Trivantis. How to Personalize Learning Without AI.” I explained how to use the Learner Intelligence adaptive design model to create a personalized eLearning course in Lectora. The recorded webinar is available here in case you missed it. Prior to […]
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 […]
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 […]
You may be surprised to learn how powerful the LI adaptive design method can be. Check out these amazing numbers.