Distributed Learning for K12 Part 2: Determine what you want to learn

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. Read part 1 here

Distributed learning allows for your students and teachers to learn in so may different ways, locations, times of day etc. Because of this, the amount of data generated increases exponentially, far more than you and your staff have time to analyze. So what can you do?

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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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Capture informal learning data into your learning record store

3 ways to populate your learning record store with informal learning data.

Our friends at Watershed published a post earlier this week about different stratgies to collect data from learners distributed learning activities. 

That lead us to consider the different ways that K-12 educators, administrators and stakeholders could do likewise. 

How? 

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Does xAPI mean the end of the resume?

xAPI technology makes this a likely possibility

We were absolutely tickled to check Twitter yesterday morning and find this article on Tech Crunch. 

The article makes the claim that with the rise of technology like xAPI, the traditional resume is on the path to extinction in favor of the Experience Graph. 

Why?

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3 ways xAPI will make you a hero

Use the xAPI or IMS Caliper specs to bring clarity to your schools

If you've been reading this blog, hung around our website or been digging into something called distributed learning then you're likely familiar with newer learning specifications like xAPI (Tin Can) and IMS Caliper. 

Acronyms with an 'x' in them and terms like 'learning specification' are not very approachable. So here's a one sentence summary:

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