Consider this post an invitation to engage for every AI expert seeking to transform the way teams and organizations learn. We consider ourselves AI enthusiasts, but not experts - and we are in need of advice and support from those higher up the ladder. These days, organizational learning is a pretty dynamic space. Everyone's abuzz with AI - and for good reason. Every day, it's linking content and context in fantastic new ways. The content has always been there. It's the context piece that makes AI so exciting - and also its biggest challenge. How can we get AI to become ever more intelligent about "our" context? How can AI help generate solutions and feedback that are contextualized to what "we" need? To transform learning with AI, most people are seeking to answer the following question: How can we leverage AI to capture all the relevant data in our learning ecosystem? We're asking a different question. How can we reimagine the learning ecosys
(This 2022 post was modified in July 2023.) The pandemic has made everyone far more knowledgeable about online learning platforms than they were 24 months ago. We each know (and feel) the strengths and the limitations of more than a few platforms. We each have a long and growing list of features we want to see in the next evolution of online learning. So, it seems a rather good time to step back and explore the evolution of online learning - to see how far we've come, and where we might be heading. One of the best resources out there is a simple progression chart shared in this intriguing article by Tiago Forte. The Future of Education is Community: The Rise of Cohort-Based Courses The evolution of online learning: What's next? We love big-picture reflections like this. While we are all aware of the current disconnect that still exists between the reality of our online learning platforms and the skills and knowledge we want to transfer to learners, we can all agree that the e