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Sunday, April, 08, 2012

Reading for Pleasure Literally Makes Your Brain Grow

Reading makes your brain grow. Reading for pleasure makes your brain grow even more. The quote below is from a post by Larry Ferlazzo about a recent research report in the journal Scientific Studies of Reading.

Print exposure was the most consistent correlate of cortical thickness throughout the left hemisphere reading network, having signicant correlations with ve of the six regions of interest: OT, AG, SMG, IFG opercularis, and IFG triangularis. The pattern of correlations indicates that individuals with more print exposure had thicker cortices within the left-hemisphere reading network. Converging evidence for the relationship between reading experience and cortical thickness comes from the “pleasure reading” item on the background questionnaire. The question was, “How often in the last four weeks did you read for pleasure at least 30 minutes?” There are six possible responses ranging from very rarely to once a day or more. Responses on this question correlated with cortical thickness in AG and SMG, as well as with the composite print exposure variable.

From Study: Reading for Pleasure Makes Your Brain Grow (Literally)

At the end of his brief description of the findings in the article, Ferlazzo shares links to more information about the physical effects of learning on the brain:

I’ll definitely be sharing the study’s findings with my students. It’s just another reinforcement of the lessons we’ve done on what learning physically does to the brain, and which I’ve compiled in The Best Resources For Showing Students That They Make Their Brain Stronger By Learning and in my book, Helping Students Motivate Themselves.

 

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Wednesday, June, 29, 2011

Where Are the Feedback Loops in Planning?

Harnessing the Power of Feedback Loops is a Wired magazine article by Thomas Goertz. It seems useful to better understand this for change management. He also discusses the use of real-time sensors and responders, which could be useful for planners.

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A feedback loop involves four distinct stages. First comes the data: A behavior must be measured, captured, and stored. This is the evidence stage. Second, the information must be relayed to the individual, not in the raw-data form in which it was captured but in a context that makes it emotionally resonant. This is the relevance stage. But even compelling information is useless if we don’t know what to make of it, so we need a third stage: consequence. The information must illuminate one or more paths ahead. And finally, the fourth stage: action. There must be a clear moment when the individual can recalibrate a behavior, make a choice, and act. Then that action is measured, and the feedback loop can run once more, every action stimulating new behaviors that inch us closer to our goals.

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