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I’ve recently had a couple of thoughts about flow — that mental state when you lose all sense of time and whatever you’re doing (work, sport, art, whatever) seems to flow with almost magical ease. I’ve mentioned flow a couple of times more or less in passing, but today I want to have a deeper look, because learning (and perhaps especially that rewiring I was talking about in my last post) is most easily achieved if we can achieve "flow" (also known as being ‘in the zone’).

Let’s start with some background.

The use of worked examples

We're all familiar, I'm sure, with the use of worked-out examples in mathematics teaching. Worked-out examples are often used to demonstrate problem-solving processes. They generally specify the steps needed to solve a problem in some detail. After working through such examples, students are usually given the same kind of problems to work through on their own. The strategy is generally helpful in teaching students to solve problems that are the same as the examples.

To choose a strategy, you must assess the situation. In this case, this may mean an evaluation of a written text. Let's look at how you might evaluate text.

We can classify text at one of three different levels, according to its structure and density1:

In the last part I talked about retrieval structures and their role in understanding what you’re reading. As promised, this month I’m going to focus on understanding scientific text in particular, and how it differs from narrative text.

Some comments on the commonalities between the Suzuki approach to learning music and the Montessori approach to education.

My sons have both been in Montessori since they were three (they are now 8 and nearly 11, respectively). My elder son started learning the violin from a Suzuki teacher when he was around five, and now learns the piano (again, from a Suzuki teacher). My younger son has been learning the violin for the last two years. Over the years I have been somewhat intrigued by the number of parents who, like me, are both Montessori and Suzuki parents.

The limitations of working memory have implications for all of us. The challenges that come from having a low working memory capacity are not only relevant for particular individuals, but also for almost all of us at some points of our lives. Because working memory capacity has a natural cycle — in childhood it grows with age; in old age it begins to shrink. So the problems that come with a low working memory capacity, and strategies for dealing with it, are ones that all of us need to be aware of.

Forget the persistent myth that everything is remembered; that our brains are video cameras whirring away recording everything, and that such 'hidden' knowledge can be brought to light by a hypnotist or alien artefact. Such things are the stuff of fantasy. Of course, there is a nugget of truth there: we can, and do, remember things we've paid no conscious attention to. Sometimes the right question can elicit memories we didn't know we had, in more detail than we imagined we could have. But for the most part, what's not noticed is not remembered. Attention is crucial to memory.

The Proto-Indo-European language (PIE) is the ultimate ancestor of many European and Indian languages. The word "proto" indicates it was spoken thousands of years in the past and we have no direct record of it. What we do have is the clear evidence in its descendant languages, from the consistent patterns in the way their words vary, that there was such an ancestor. Following these patterns, scholars have deduced a quite extensive vocabulary — but they are still reconstructed, not ‘real’ words. We can never know exactly how these words were pronounced, or precisely how they were used.

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.

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.