[NOTE: this webinar was delivered primarily through live demonstration, to view the recording, go here: https://www.watershedlrs.com/learnings-big-data-problem-part-3]
“You've told me why learning analytics is important. Now, show me how I can use them.”
You’re in luck. In part three of this “Learning’s Big Data Problem” webinar series, we’ll use live demonstrations to explore real-world examples covering common learning evaluation methods and how they apply to the complexities and categories of learning analytics. Before diving into each of the live examples, we’ll briefly recap these conceptual models for anyone who wasn’t able to attend either of the previous webinars.
No more playing pretend.
The live environment will be a combination of reports and measures from real organizations that have been scrubbed to ensure confidentiality. This isn’t a demonstration of what may be possible one day—it’s a crash course in what can be accomplished even with the most basic data sets.
Key Takeaways:
How different types of organizations are getting started with learning analytics
The kinds of reporting that’s possible with data typically available in an organization
The types of data you can gather from a selection of common learning technology products
How to Measure & Analyze L&D Impact - Learning’s Big Data Problem, Part 3
1. How to Measure & Analyze L&D
Impact - Learning’s Big Data
Problem, Part 3
David Wentworth,
Principal Learning Analyst,
Brandon Hall Group
@DavidMWentworth
Andrew Downes,
Learning and
Interoperability Consultant,
Watershed
@mrdownes