I have previously reported on how gait and balance problems have been associated with white matter lesions, and walking speed and grip strength have been associated with dementia and stroke risk.
Articles
When we are presented with new information, we try and connect it to information we already hold. This is automatic. Sometimes the information fits in easily; other times the fit is more difficult — perhaps because some of our old information is wrong, or perhaps because we lack some of the knowledge we need to fit them together.
Back in 2010, I read a charming article in the New York Times about a bunch of neuroscientists bravely disentangling themselves from their technology (email, cellphones, laptops, …) and going into the wilderness (rafting down the San Juan River) in order to get a better understanding of how heavy use of digital technology might change the way we think, and whether we can reverse the problem by immersing ourselves in nature.
Children’s understanding, and their use of memory and learning strategies, is a considerably more complex situation than most of us realize. To get some feeling for this complexity, let’s start by looking at a specific area of knowledge: mathematics.
Children's math understanding
Here’s a math problem:
Pete has 3 apples. Ann also has some apples. Pete and Ann have 9 apples altogether. How many apples does Ann have?
This seems pretty straightforward, right? How about this one:
The evidence that diet, physical exercise, and mental stimulation all help prevent age-related cognitive decline and reduce the risk of mild cognitive impairment and Alzheimer’s, is now very convincing.
Studies of mice and (rather intriguingly) beagles, have provided evidence that ‘enriched’ environments — ones that provide opportunities for regular exercise and mental stimulation — reduce or prevent age-related cognitive decline, and reduce the risk of Alzheimer’s.
Our society gives a lot of weight to intelligence. Academics may have been arguing for a hundred years over what, exactly, intelligence is, but ‘everyone knows’ what it means to be smart, and who is smart and who is not — right?
Of course, it’s not that simple, and the ins and outs of academic research have much to teach us about the nature of intelligence and its importance, even if they still haven’t got it all totally sorted yet. Today I want to talk about one particular aspect: how important intelligence is in academic success.
The more hyped and less plausible passive Mozart Effect
The so-called "Mozart effect" refers to two quite different phenomena. The one that has received the most media play concerns the almost magical (and mythical) effect of Mozart's music on intelligence. It is the result of a misrepresentation of the research results. Rauscher, Shaw, and Ky's 1993 study found that 10 minutes of exposure to Mozart's Sonata for Two Pianos in D Major K. 448 temporarily enhanced performance on three spatial reasoning tasks.
The thing to remember about Ericsson’s famous expertise research, showing us the vital importance of deliberate practice in making an expert, is that it was challenging the long-dominant view that natural-born talent is all-important. But Gladwell’s popularizing of Ericsson’s “10,000 hours” overstates the case, and of course people are only too keen to believe that any height is achievable if you just work hard enough.
The much more believable story is that, yes, practice is vital — a great deal of the right sort of practice — but we can’t disavow “natural” abilities entirely.
This post is the fourth and last part in a four-part series on how education delivery is changing, and the set of literacies required in today’s world. Part 1 looked at textbooks; Part 2 at direct instruction/lecturing; Part 3 at computer learning.. This post looks at learning models and types of literacy.
Literacy. What does it mean?
In a 1987 experiment (1), readers were presented with a text that included one or other of these sentences:
or
Both texts went on to say: