Data-driven online synchronous learning

Data-driven online synchronous learning

Scott Moore Scott Moore

Scott Moore

Spreading the data science approach to organizational learning | Thought leader and strategist

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When I read articles (such as this one) that discuss the near future of corporate training, they frequently highlight "data-driven learning." In every single instance that I have seen so far (please let me know if I've missed something��it's certainly possible!), these prognostications focus on the use of data in asynchronous online learning.

I'm guessing that the authors have the following thought process:

  • Data is an important foundation for good decision-making.
  • Data is available for asynchronous learning. Therefore, use data for planning and analyzing it.
  • Data is not available for synchronous learning. So there isn't anything to say here.

That would all be well and good if it were the case��but it's not. Engageli supports the delivery of synchronous learning sessions, and it does a marvelous job of collecting data that directly captures student engagement.

This data enables instructors and staff to look at the following after the session:

  • How much did learners talk during the whole session?
  • How much did they talk while at their tables?
  • How much did learners speak at the podium?
  • How many times did learners provide an emoji for feedback?
  • How well did the learners perform on the in-class polls/assessments?

And so on.

This is exactly the type of data that a learning designer or instructor find useful when analyzing how well a recent learning session went, and what might be done to improve it.

Sounds like data-driven online synchronous learning to me. If you'd ever like to talk with me about how well Engageli might enable your own such sessions, please reach out to me.

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