Getting Started with Learning Content Analytics

Just when you thought you’d gotten the hang of this L&D business, you find yourself expected to talk in the language of data and analytics, using evidence to better inform L&D decisions. Yet the ATD Talent Development Capability Benchmark finds that data and analytics capabilities are near the bottom of their rankings.  

While this session won’t catapult you into the ranks of expert, it will get you started with some basic understandings. We’ll explore the need for data and analytics in the L&D space and examine the core building blocks of a data-driven learning organization, including identifying what you will measure, how you’ll capture and analyze that data, and how you’ll engage the business with that data. We’ll also explore four data dimensions that allow us to generate data focused on improving learning outcomes: Competence, perception, engagement, and reaction. Finally, we’ll review data dashboards from real-world learning solutions to attempt to tell a data story together of what happened and learn how we can use this data to improve the solution.

In this session, you will learn:

• Why learning designers need to have data and analytics on their radar
• The core building blocks for building a data-driven learning organization
• About the four dimensions of data to help you prove and improve your learning solutions
• What resources you can access to learn more and where you can get some help

Technology discussed:

Adapt, Sisense