At what point will this section be populated with content (samples etc.) It would be great if you could put some visual exam0les here for the benefit of the community. It may spark some interest/feedback from a design perspective.
Hi Ray, thanks.
Yes, we're keen to populate this as soon as possible. I am hoping we will have at least the demo link at the top working within the next three weeks (realistically).
We're still somewhat focused on some of the administration and set up tasks but have started putting the first document (framework architecture) up on the documentation repository. I expect us to gather momentum relatively quickly and am keen to share examples as soon as possible.
I will add another post here once we have made progress on this aspect.
I spotted an earlier recording of an e-learning project, which we created with an earlier version of Adapt. It probably sets slightly too high expectations as this was built by developers (rather than a tool) using the framework. The framework and tool we are aiming for in our initial timelines may have a slightly lesser set of components and look and feel in its first iteration.
However, the concept applies and we are in the process of porting the majority of the generic code over to the open source project.
Here is the link: http://www.kineo.com/services/elearning/mobile/responsive-design
Hope this helps!
The Logitech does contain some components not planned for inclusion in the first release and it also contains some bespoke functionality but I wonder whether we should think about including this 'out of the box' as I could see it being quite useful.
- The first is linking the block slider functionality with some kind of event, in the Logitech example it’s when incorrect feedback tutor is closed.
- The second is locked articles which become unlocked once correct tutor feedback is closed.
When combined it makes for quite a strong goal based type approach where the learner can‘t pass through the question ‘gateway’ until the knowledge check has been answered correctly. Incorrect attempts trigger access to the remedial learning contained within the 2nd block. The demo shows this functionality.
In makes for more sophisticated learning models than the more traditional 1.gain attention, 2.tell, 3.check and 4.summarise linear models which I’m sure we all have variations of.
Be interested to hear how often other ID's use this approach and whether the tool should make possible in release 1.0 or whether its custom work/added later.