Friday, October 16, 2020

Connectivism

In a former company, we set up a MicroLearning platform to provide leadership training via cell phone delivery for our field leadership. This was a huge hit for the organization but had limited usefulness. We found that MicroLearning (small chunks of training) were not ideal for the primary delivery of the content. We were able to create a powerful network among our leadership teams which was unique and very similar to the idea of "connectivism" that we discussed in our last class.

The "chatbot" method we are currently using is different in that we are using MicroLearning as reinforcement during and after the primary training to help create recall . . . to help move the information from short term and working memory to long term memory. It works just as you mentioned with your daughter. I've found having used both methods, this reinforcement engine is far more effective.

For this, we are using an off the shelf application called "Mobile Coach" to test the waters. My organization's IT department is also working to create our own MicroLearning app that we can use and develop inhouse. Mobile Coach has been terrific to work with, and the app is very easy to set up, but if the system becomes popular the cost will be too great. But you're correct in that being able to provide learning directly to the learner's phone is an ideal way to engage them during and after the training. 

I'm also looking forward to using this technique prior to training as well. Imagine the capability of knowing what class a student is about to take, then sending them information regarding the learning objectives before they take the class. These "MicroLearning Pre-Tests" would help engage them in the training and fine-tune their focus onto the learning objectives for the course. This pre-test compatibility will help them understand what they're getting into, introduce them to the learning objectives before the class, and get them used to using their phones for information exchange. It's a blend of MicroLearning reinforcement and Adaptive Learning techniques. 

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