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Старый 07.05.2026, 08:49
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По умолчанию Neuroscience In Learning & Development


Neuroscience In Learning & Development
Published 4/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 3h 3m | Size: 1.7 GB
Application of Neuroscience in Learning & Development
What you'll learn
Explain the mechanics of neuroplasticity and the forgetting curve to improve long-term information retention
Apply Cognitive Load Theory to minimize mental fatigue and optimize learner focus on essential content
Create engaging lessons using the dopamine learning loop and storytelling to capture attention in distracted settings
Plan sustainable learning habits using the cue-routine-reward cycle and mirror neurons for social skill transfer
Analyze the ethical boundaries of AI-driven personalization and emotional analytics regarding cognitive privacy
Requirements
L&D Enthausiasts
Description
[This course contains the use of artificial intelligence]
Stop designing for content libraries and start designing for the human brain.
We have all witnessed the "Glazed Eyes" phenomenon. You spend months developing a comprehensive training program, only to watch learners drown in information overload, distracted by notifications, and unable to recall the core concepts just 48 hours later.
This isn't a failure of talent or effort; it is a mismatch between how we deliver information and how the brain actually processes it.
Most corporate training is built to satisfy checklists. This course is built to satisfy biology. Application of Neuroscience in L&D bridges the gap between complex cognitive science and the daily reality of instructional design and organizational development. You won't just learn "about" the brain; you will learn how to build learning ecosystems that stick.
Why This Course?
There is a significant difference between "knowing" and "doing." Many courses offer interesting facts about the brain, but few provide a practical toolkit for the workplace. In this program, we move past the "neuromyths"-like the idea of learning styles or the left-brain/right-brain divide-and focus on evidence-based strategies that drive measurable behavior change.
You will walk away with a clear framework for
• Reducing training time while increasing retention
• Building psychological safety to accelerate learning
• Designing "dopamine moments" that keep learners coming back
• Using microlearning and spaced repetition to bridge the "knowing-doing" gap
Who this course is for
L&D Enthausiasts

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