Thanks for the Axonify mention. I agree with regards to the value of connecting personal learning activity with outcomes to enable ongoing development. I struggle with the practicality of “tracking” everything people do to “learn” given that everything we do – on the job and otherwise – improves our ability to execute. How do we prompt/motivate this type of transparency, especially when the end user doesn’t see what they are doing as “learning.” I’m also curious to explore themes related to self-directed activities, such as reflection, especially within use cases and environments where this can be seen as less valuable or wasting time. We don’t need to over-structure these concepts to the point of tracking it all, but we do need to find ways to capture activities that make a difference so we know where to put our support and promote to others.

Always welcome collaboration on the topic. I plan to spend a better part of this year examining related themes in a modern workplace context. JD

Stephen, yes, APIs to allow mixins is definitely a valuable approach. I think we’re still short of a vocabulary for context and content to make it easier to integrate across systems, but definitely a step in the right direction. Thanks for the comment!

Thanks, great article and thanks for the mention.

I think you’re right about layering on further support around streaming content and microlearning. One way we’re looking at doing that is by providing the content via an API so it can be embedded in other platforms, such as social platforms. These could then be used to provide framework, coaching, context and support. You mentioned Red Panda – they’re using our API to bring in streaming content from Anders Pink and then people add sense, share and comment in their platform. I think open APIs like these help to remove the silos between tools and modes in learning. Be interested to hear waht you think

thanks!
Stephen

Amy, look forward to hearing from you!