Experience Matters MOOC for Learning Experience Design: Making Sense of Week 3
Join the MOOC here:
Moving into our third week of the Experience Matters MOOC, our experts explored how organizations can use the learning data stored in their Learning Record Store (LRS) to make better informed decisions about their future learning design.
Using the xAPI format, vast amounts of useful data can be generated from many different learning activities within your organization and stored in your LRS.
What is the xAPI?
The Experience Application Programming Interface (xAPI) develops on existing API functions by recording data in a consistent format using a universally applicable vocabulary.
The xAPI vocabulary consists of an Actor > Verb > Object structure.
This could look like: John Smith > Completed > Learning Activity.
If you’re still confused, think of xAPI statements as a log of a user’s learning activity which, not only enables you to track their progress, but also allows different systems to communicate this learning data securely and efficiently so that you can start understanding what this data really means.
If you’re still an adopter of SCORM (Sharable Content Object Reference Model), and need a little persuasion for the xAPI it might interest you to know that the xAPI goes beyond simply tracking completion of a learning activity or a pass and fail.
A recent blog post details how the xAPI can report multiple scores, produce detailed test results, track both online and offline learning, and works without the requirement of an Internet browser.
What Did We Learn in Week 3?
By analyzing the rich learning data they already have access to, organizations can begin to prove the impact training is having on the growth of their organizations, as well as their Return on Investment (ROI).
Week 3 of the MOOC looks at this idea in more detail, covering how best to interpret your learning data by deconstructing and examining the various types of analytics you’d expect to find in online learning.
To help put this in a real-world context, we also explored various Case Studies to demonstrate how organizations like yours have already began harnessing their data to prove the impact of their L&D investments.
Below we have the key learning points of our data and analytics themed levels of the MOOC, as well as the resources that aid deeper understanding.
Key Learning: To understand the four levels of learning analytics.
Key Learning: To understand what you need to know about learning analytics, and xAPI to get started.
Key Learning: To understand how the xAPI and analytics complement each other. (i.e use the xAPI to track any type of user/system interaction, and then use analytics tools to compile/interpret the xAPI data retrieved).
Key Learning: To understand how data analytics can improve your organizations learning design, and see how other organizations have already done it.
We may well be nearing the end of the facilitated part of our MOOC, but the course will remain open for you to jump in and work through the levels at your own pace. Get involved today!