Creating effective microlearning seems straightforward-just make it shorter, right? This session explores the learning science that separates microlearning that works from microlearning that simply looks good. You'll discover how Cognitive Load Theory explains why some microlearning drives lasting change while others fade quickly, regardless of production quality. Learn a practical approach you can immediately apply to current or future projects. You'll also explore common assumptions about microlearning effectiveness: how workflow integration relates to learning success and why attention span differs from cognitive capacity.Through hands-on practice, you'll adapt this framework to different workplace contexts and challenges. You'll leave with both the scientific understanding to advocate for evidence-based design decisions and practical tools to create microlearning that consistently delivers results.
Key Takeaways
Distinguish between cognitive load, attention span, and environmental distractions to make evidence-based design decisions.
Apply the Chunk, Strip, Build framework to manage specific cognitive load issues.
Balance microlearning design approaches based on contextual factors while maintaining sound cognitive load principles.
Page-to-Practice sessions, brought to you by ATD26, are author-led interactive events that bring books to life through direct application.
