5 Data Capture Strategies for Blended Learning [Guide]

We’ve explored several concepts about blended learning, and now we’ll show you what they look like in practice. In this post, we discuss data capture strategies for blended learning activities that aren’t initiated by the L&D team—including xAPI, data connectors, self-reporting, observation, and more.

1) Track learning with xAPI.

If possible, the easiest way to track learning is to embed xAPI tracking into the learning experience so you can use data to improve the content and monitor learner engagement. This method is ideal for materials you’ve created and any systems you control.

For instance, you can observe anything the learner does—such as more innovative learning experiences like games or simulated job tasks that put learning into practice. You can even track VR training experiences.

xAPI brings data from your LMS, apps, social platforms, classroom training, and real-world activities together in one system to create comprehensive reports.

2) Use a connector.

For software you don’t control, you may need to deploy a connector—an application that can pull data from the product providing the experience and send data to a Learning Record Store (LRS).

Services, such as Zapier, connect to applications (e.g., Salesforce, Slack, Twitter, GitHub, Trello, etc.) to your LRS.

3) Make assumptions based on other activities.

Some informal learning experiences—such as conversations between colleagues, online searches, or web-based tutorials—may be difficult to track directly. However, we may be able to track and make assumptions about another activity related to the experience we want to follow.

For example, we could track students swiping their ID cards as they enter the library to measure the relationship between student engagement and using the library to study. Most likely, there’s a strong connection between library entry and use, which makes the data relevant for measuring learner engagement.

4) Self-report your learning experiences.

Learners can report their own learning experiences, which is helpful for training opportunities that may not be readily available or accessible to most learners.

For instance, a company provides an xAPI bookmarklet that lets people to record websites they find helpful. And some product providers offer apps that allow learners to record and share real-world experiences via photographs, audio recordings, or video.

It’s essential to consider learner motivation when using this approach, as some may want to maintain a personal history of professional development. In contrast, others want to share their experiences with others.

5) Observe training.

Some professionals—such as managers and trainers—may be asked to observe someone’s learning and job performance to provide valuable feedback. This practice is especially common in the healthcare, aviation, and construction industries.

And tools, such as an observation checklist application, allow observers to easily track real-world learning experience, assess job performance, and even rate learners on certain tasks and competencies.

Up Next: Prioritize L&D Initiatives

In our next post, we’ll show you how learning from data can help you identify blended learning activities. And sign up for Watershed Insights to receive L&D industry updates, helpful advice, and more!

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A Comprehensive Guide to L&D Data Requirements

It’s no secret that L&D teams face obstacles when it comes to reporting to stakeholders and making data-driven decisions. How do you get meaningful insights when your learning ecosystem spans several territories, platforms and vendors?

Whether you’re planning an integration with an existing platform, writing an RFP, or discussing options with a vendor, this guide will help you to ask the right questions.

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