Distributed Learning for K12 Part 4: Analyze

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. Part 1part 2 and part 3

Analyze. Analysis. Analytics. 

We realize that a lot of our brains just shut off at the mention of any one of those words. But stick with us here...

You've now come to the part of the process where you as school and district leaders can begin to reap the fruits of your labor. 

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Distributed Learning for K12 Part 1: What is distributed learning?

What is distributed learning? What does it mean for K12?

With the rapid development of technology both inside and outside of education it has become easier for students and teachers to learn outside of traditional learning enviornments, such as a physical classroom and learning methods, such as face-to-face with an instructor. 

Because of this shift we have now become more familiar with what is known as Distributed Learning. (We also outlined it ourselves here.)

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How to get started with Blended Learning: Part 5

Step 5: Data collection

The decision to adopt a new teaching approach is both exciting and angst inducing. Blended learning offers a new way to reach students, so it makes sense that districts want to harness it's potential. As school districts explore the possibilities of blended learning they are also faced with challanges and obstacles that must be acknowledged and planned for. If you are thinking about how to get started with blended learning, this 7 part blog series will explore the steps you should consider as you adopt this new methodology.

It's helpful to read these posts in order, so before continuing:

As stated in Part 4, selecting an LMS that meets the needs of your teachers and students is a critical step to successfully implementing blended learning. 

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Big data will help you personalize learning

Use big data to adapt and personalize learning paths for your learners

We just read a great article by Blake Beus over at EContent that discussed how professional organizations and companies can utilize big data to help personalize learning for their employees. 

What Blake posits for companies and corporations holds true for K-12 education. Big data, (big education data) can be harnassed to personalize learning for all learners, both students and teachers alike.

How so?

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