The human brain has fascinated me since I was a child. Understanding how one thinks, remembers, and acts is extremely complex. As a learning professional, I rely on brain science to ensure the efficiency of the programs I design. This blog series addresses some of the more basic concepts of memory and learning, and their application in real life learning design. Let's start from the beginning...
Articles Tagged as “learning science”
We tell stories, that's what we do. Studies have shown that toddlers understand the demands of storytelling and that 5-year-olds can craft elaborate narratives rife with characters and conflict. Test subjects watching a simple animation of geometric shapes moving on a screen will imbue those shapes with character and motivation. From a campfire in some forest primeval to binging on Netflix we process and understand our world and ourselves through the narratives we tell and consume. All of which are elements that explain how we naturally gravitated toward storytelling as a vital tool in learning.
The reality is that the numbers in this principle - 80 and 20 - are not necessarily the same in all cases. They could be 70/30 or even 90/10. In other words, concrete numbers are not the most important element to consider, but rather the notion that efforts are not in balance: a smaller percentage of the effort produces very good results and the remainder produces poorer results.
As we discussed in the previous blog article in this series, there are three main steps in the memory process: encoding, storing and retrieving. Here, we will take a closer look at the first step – encoding – and its role in learning.