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This content was posted on 22 Jun 19 by Lectica on Facebook Page
Learning optimally — in 150 words or less (almost)
Optimal learning involves the application of knowledge in real-world, emotion-laden contexts. It effectively integrates new information into existing neural networks—building understanding and skill, and providing a robust foundation for future learning and development.
This week, a client asked me to provide a succinct explanation of “optimal learning.” Here goes!