Your access to learning-related data has grown dramatically over recent years. But just because you have a large volume of data doesn’t mean it necessarily provides value. While tools like the xAPI make it increasingly easy to acquire data about learner activities, this information provides little benefit if you don’t know how to design to acquire meaningful data, interpret that data, or improve your learning design based on what you’ve discovered.
In this session, you’ll dive deep into how data should shape your learning systems design, including exploring the basic principles of how to use data effectively and how to design to provide meaningful feedback. To do this, you’ll look at outside inspiration from fields that are already doing this well: user experience design (UXD), web analytics, and business intelligence. You’ll also uncover some of the pitfalls of data collection and analysis, discuss using both qualitative and quantitative data, and address the difficulties inherent in finding valid measurements of learning.
In this session, you will learn:
- How to use your data analytics to improve course design
- How to design to gather meaningful data
- About the potential pitfalls of data interpretation
- Lessons, from fields like business intelligence and web analytics, about how to apply data principles to learning design
Novice and intermediate designers, developers, and managers.