Of Brains and Salmon and OER

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There was a time, not long ago, when people studying brains gained access to new and incredibly powerful instruments to measure what parts of the brain were more active than others. They could measure many many different places, so many that they could even sometimes tell what emotions a person was feeling just by looking at their readings!

This rush of data made researchers heady. They kept looking for more and more interesting details about how brains worked. They would look at the data lots of different ways, starting from the raw activity data. This raw data about brain activity was especially exciting — there were little sparks of activity everywhere! Most researchers were cautious, though, and only considered activity convincingly demonstrated if they first took into account that they were looking at lots and lots of measurements all at once.

We’re Looking for 3 Companies Who Want to Measure Business Impact of Training

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Did your training positively impact the business? Will repeating it in the future be worth it? These are big questions with wide-ranging implications for learning leaders. To this point, they’ve also been difficult or impossible to answer in real time. But that’s about to change with Wax LRS’s Business Impact Dashboard.

We’re looking to work closely with select companies to build this capability…

DevLearn 2015 Recap

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At Saltbox, we’re always excited about DevLearn, and this year was exceptionally thrilling for us and the xAPI community. This year’s DevLearn took place at the MGM Grand in Las Vegas, which is fitting because we made sure that what happened in Vegas was tracked using the Experience API.

Introducing Experience Paths

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Completions don’t equal understanding. It’s proven every time someone randomly clicks through multiple choice questions until getting it right. What people get “right” may not provide as much insight as what they get wrong, and the routes they eventually take through content. Collecting and analyzing this kind of information has been cumbersome if not impossible, but with Wax LRS’s new Experience Paths Analysis, you’ll be able to uncover the hidden patterns in your learning data.


Announcing New Wax LRS Pricing

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Summary: 5,000,000 statements per month, added capabilities, special offer with up to $10k savings for existing Wax customers, connect to a BI tool, interactive analytics coming soon.

We just launched new price plans for Wax LRS. Here’s a snapshot of the new pricing structure:


Why Reporting in the LRS?

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All the standalone LRSs available at the moment build in some form of additional reporting beyond pure Experience API methods. This makes sense: it is hard to build reporting tools without seeing real Experience API data collected in an LRS, but an LRS with no way to work with the data inside it would be quite lackluster. If LRSs waited for basic reporting tools to exist outside the LRS, they’d be doing their customers a disservice, giving them a powerful way to aggregate data, but no good way to look into that data. LRSs pretty much needed to provide some basic reporting from the get go.

But I’m going to argue there’s a larger reason. I’m going to make the case that, in the long run, we’re going to see lots of LRS + reporting hybrids, for solid reasons. Then, I’m going to talk about why this doesn’t break the big interoperability goals of xAPI.

A Data Lover Reads ‘Telling Training’s Story’ (Part Two)

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TL;DR — second in read-along series; human algorithmic thinking matters (read Papert); L&D’s systemic connections abound

You can read Part 1 here

I left this series for longer than I hoped, but better to continue now than never. Last time I reached page eight of Telling Training’s Story, and ended with a discussion of how answering complex problems well for non-experts generally means moving complexity into algorithms. One thing I didn’t get into great detail on is the nature of algorithms. A reasonable reader might think I only meant things computers do; I do not. Algorithms can be implemented by humans.

Components of the Learning Model Canvas: Cost Structure

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In the Key Resources blog, I noted that money is essentially the key resource because it’s fungible into all the other assets you need to operate effectively. Learning how to deftly construct a budget for your learning programs not only helps you do more with less, but makes your case for more resources, too. The Cost Structure component of the Learning Model Canvas assists in organizing the tradeoffs that go into every budget.

Components of the Learning Model Canvas: Key Partners

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In last week’s Saltbox Savvy, I discussed the Key Resources L&D will need to deliver learning experiences, from people, to tools, to systems. But not all assets are so tangible; influence, and the relationships to build that influence are important to keep a learning unit running, too. We’ve already looked at the demand side of the equation in Customer Relationships, and now we come to the supply: Key Partners.

Components of the Learning Model Canvas: Key Resources

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Often, as learning leaders delve into the more practical aspects of the Learning Model Canvas, one question looms: How do we get the resources to make it happen? Any planning and development you put into a learning initiative can come to a screeching halt unless you have the right assets in place to support your vision. The Key Resources section of the Learning Model Canvas helps organize the resources you have (and those you still need) to put a plan in action.