People often learn how to do their jobs through work-based learning, or by trying different approaches to see what works and what doesn’t. In this Distributed Learning post, we’ll explain how you can use learning data to reinforce efficient work-based learning in your organization.
In our last Distributed Learning blog post, we discussed ways to capture social learning. Now, we’ll show you how to use that data so you can support and enhance that learning within your organization.
Informal learning is constantly happening across your organization. And when you recognize it, you can take actions to support and enhance these informal learning experiences. In this Distributed Learning blog post, we’ll explore strategies to help you get started.
Last time, we discussed how the purpose of capturing data is to learn. And now that you have these learning evaluation insights, it’s time to take action and start adjusting your learning and training programs.
You can’t improve distributed learning experiences without first gaining important insights from captured data. In this post, we’ll explain the different questions and potential insights you might gain from various data sources.
Now that you’ve identified what you want to track, it’s time to design and implement that tracking and reporting. In this Distributed Learning post, we’ll show you how tools, such as xAPI, can help you capture data from learning experiences.
Learning happens everywhere—across multiple systems and offline experiences—and we simply can’t track all of it. That’s why you need to choose the most important experiences to target first, and then tackle them one by one.