Distributed Learning for K12 Part 5: Take Action

In this brief blog series we'll be discussing the concept of Distributed Learning. What it is, the impact it has on K12 education, best practices for use in your school/district and other useful tips and tricks. Before diving into this post it might prove helpful to start at the beginning. Read part 1part 2,  part 3 and part 4

This is it. You've reached the end. The rubber will now meet the road.  

You're reading this because you've taken the time to determine your priorities, collect the relevant data and then analyze it.

You've either taken all those steps or you are going to. We're certain of it :)

Now comes the hard part... Or is it the easy part?

There is a good argument for both.

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On the one hand you've got your learning data telling you what course of action to take. Essentially your answer is staring right at you from the reports you are reviewing. 

On the other hand actually acting on that data might mean painful conversations with staff, long processes of evaluating instrutctional models and choosing new curriculum. 

Either way, it's necessary to act on that data. 

Download the whitepaper

Actions to take

The course of action you and your staff takes will depend on what your priorities are; what you decide to track. 

Let's continue with our example from part 2 - determining effectiveness of your curriculum. 

If your goal is to determine efficacy then an appropriate course of action would be to find out why learner engagement is so high with certain curriculum content.

An example would be to take all curriculum content that has seen high levels of learner engagement and press in. Is content with visual and audio elements engaged with more than content with a single element?

Our friends at Watershed LRS pointed out that Netflix does something very similar with their content. 

Other ways to act on your data

Below are a few other ways you can act on your distributed learning data:

  • Personalized learning for students. Example: Based on a student's past learning data you can create a personalized learning path that aligns closely with that student's learning styles and preferences. You can also tailor the curriculum to maximize the student's stengths and interests
  • Providing just-in-time assistance. Example: The real time data you collect will allow you to identify patterns and behaviors that indicate an at-risk student. You can provide help to that particular student immediately before he or she falls too far behind
  • Determining teacher effectiveness. Example: Your teachers have just received some professional development on blended learning pedagogy. Tracking grades, studentengagement in courses, overall course content etc. will allow you to evaluate the effectiveness of that PD
  • Rework or remove ineffective content. Example: Much like effective content, you'll be able to identify ineffective content and then decide whether you should revisit the content to improve it, or remove it altogether and replace it with something new

You've made it through all five steps... from figuring out that distributed learning is actually a thing... to acting on your learning data. What to do now?

You can take the next step by checking out our whitepaper on the Blended Learning Puzzle. This will show you how distributed learning and blended learning can be implemented in a K12 environment. 

Or you can... Talk to us