Embedded ubiquitous learning — from the Upside Learning blog by Abhijit Kadle


What would ubiquitous learning look like? Well, there isn’t an easy answer to that. It is hard to foresee what will come about personal computing technologies in the next decade. In my eyes, from a learning perspective, there are a few key themes (emphasis DSC):

  1. Discovery and delivery – the ability to use agents that comprehend context, are able to make ‘coherent’ sense of varied data streams to search for information, discover, and provide content – just in time, in the correct context and in the appropriate format.
  2. Machine to Machine communication – While there is no doubt that this will happen, and that the ‘internet of things’ isn’t very far away in the future. One thing I found fascinating is the idea that you could create a ‘learning profile’, an identity that is essentially a digital package of your learning preferences and the contents of your past learning, that can be accessed by machines. This would let the ‘machine’ actually tailor its user interfaces, learning content and the experience itself, and present information in a way that suits the preferences of the human.
  3. Embedded learning – networked learning that is built into every device, every tool, every physical resource humans use; there is no need for specific training; the latest information is available just in time, from authentic sources, judged valuable by network analysis, provided with the right context and assists humans to complete tasks