Learning Research & Science
Insights culled from analysis and inquiry that keep learning professionals up-to-date on how people learn, technologies, approaches, and performance improvement practices.
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xAPI Adoption: Where Is L&D on the Tech Adoption Curve?
The pace of xAPI adoption is about to get steeper as more organizations are using xAPI and others are poised to try it out.
By Megan Torrance • -
The Promises and Perils of Learning Experience Design
Learning experience design integrates learning science with engagement. Learn how it differs from instructional design.
By Clark Quinn • -
Guild Report Explores Current State of xAPI Adoption
Megan Torrance uses survey data to investigate the current state of xAPI adoption and provides recommendations to solution providers and L&D professionals.
By Christine Shaw • -
2019: The State of xAPI Adoption
Megan Torrance uses survey data to assess the current state of xAPI adoption and the differing perspectives among non-adopters, adopters, and providers.
By Megan Torrance • -
In Real Life: How L&D Can Get Better With Data NOW
In L&D, we need to get better with data before we get better with the latest and greatest technology. Our progression as a profession depends on this.
By JD Dillon • -
Why You Should Optimize the Power of Humor in Mission-Critical Training
Research shows that humor in the workplace has an energizing effect. Discover how to leverage the benefits of it for training purposes.
By Shirley Erwee • -
Consider Learners in Creating Affordances in Digital Content
Affordances are characteristics that help users understand how something works; affordances in digital content must consider the typical learner.
By Pamela Hogle • -
Nuts and Bolts: What is Human?
It’s easy to let a new tool or approach draw us to the next shiny object—such as AI. The trick is to be sure that we don’t lose sight of the human.
By Jane Bozarth • -
Report Explores Tomorrow’s Technology and its Impact on L&D
New Guild report explores how technology is supporting, enhancing, and sometimes replacing humans, and what that means for workers and L&D professionals.
By Susan Jacobs • -
Automated Tools Fail in Quest to Predict Learner Success
Learn why reliance on tools like personality inventories or algorithm-based assessments is a poor way to predict learner success.
By Pamela Hogle •