The Science Of Learning Meets AI: How Cognitive Principles Can Transform eLearning Platforms
Briefly

The Science Of Learning Meets AI: How Cognitive Principles Can Transform eLearning Platforms
"Their goal was simple: help learners retain knowledge that applies in real work. But they also saw a business advantage: a platform that truly builds skills keeps learners coming back and recommending it. During our research, I recalled Make It Stick by Brown, Roediger, and McDaniel, a book that explains why familiar study habits fail. That became our foundation. Then, we studied new research into the science of learning and how to apply it with AI,"
"When something feels familiar, the mind relaxes. You reread a paragraph, recognize a concept, and it seems almost effortless. That sense of ease convinces you the material is learned, when in fact you've only grown comfortable with repetition. The Learning Styles Myth "I'm a visual learner" sounds convincing but lacks evidence. Studies show that matching content to preferred styles doesn't improve results. Yet many courses still rely on this idea, adding visuals or audio for each "type.""
A professional learning platform sought to make knowledge stick so learners could apply it in real work and return as repeat users. Research grounded in cognitive science shows common habits—re-reading, reliance on learning-style claims, and fixed-mindset messaging—create illusions of mastery and hinder durable learning. Many platforms measure recall instead of transfer, so learners forget after tests. Effective learning emphasizes retrieval practice, spaced and interleaved practice, and designing for transfer to real tasks. Applying learning science with AI can personalize spaced retrieval and practice, shifting courses from passive watch-test cycles to active, durable skill building.
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