Working with ADL on enabling developers to create learning activity streams
Posted by Jim Farrell
Questionmark has decades of commitment to designing our product in accordance with industry standards including AICC, ADL SCORM, .NET, HR-XML, and IMS QTI.
Next week at the eLearning Guild’s mLearnCon conference, Questionmark will continue that commitment by supporting a new ADL (Advanced Distributed Learning) initiative that we think will help drive how we learn for years to come.
Why are we so excited about the ADL initiative? At Questionmark, we love how the 70+20+10 model explains that 90 percent of learning is done outside of the formal learning environment. We learn by doing and by working with others. In this world, you are challenged to know if people are learning and if their performance is better because of the learning.
In other words, how do you track learning without launch in a formal learning situation?
Welcome to the ADL’s initiative, Project Tin Can. Although currently working under just a project title, this initiative gives content and app developers the power to create activity streams that can be sent to a Learning Record Store (LRS) and later analyzed. The activity streams are made up of an actor, verb, and object — as in this statement: “I did this.”
Here are some examples of what the activity streams could look like:
- John Smith engaged the knowledge base article, “How do I embed a video”
- Tom Brady attempted the simulation on How to Throw a Football
- Sandy Pine visited the customer Apple Computer
None of these activities are typical launch-and-track activities, but they could help you understand what makes a top-performing contributor.
Questionmark is extremely excited to be part of ADL’s initiative and will be demonstrating the production of activity streams from a Questionmark assessment at mLearnCon.
Please stop by and say hi if you are going to be in San Jose next week.