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You Are a Learning Style of One
Andrew Watson
Andrew Watson

In the bad old days, schools seem to have thought about learning this way:

There are two kinds of students: smart ones, and not-smart ones. It’s easy to tell them apart.

If you teach it and I learn it, I’m a smart one.

If you teach it and I don’t learn it, I’m a not-smart one.

(To be clear: I’ve never heard anyone say that so crudely. But that tone suffuses the mythic past of our profession.)

false learning categories

Of course, this theory suffers from one deep flaw: it just ain’t true.

Those are simply false learning categories. We all can learn, but we all learn differently.

If I teach it and you don’t learn it, the problem may very well be with my teaching. You might well learn it some other way.

A Solution, A Bigger Problem

And yet, this optimistic reframe comes with perils of its own. If, in fact, “we all learn differently,” then teachers face an almost impossible challenge.

We have to figure out how each of our students learns, and then tailor all lessons for all of them. A class with 30 students requires 30 lesson plans.

How on earth can such a system work?

Another Solution?

Facing this baffling challenge, I would LOVE to sort my students into reasonable categories.

Instead of saying “there are smart students and not-smart students,” I’d rather say “students can be smart this way, or that way, or t’other way.”

With this framework, I can now have three lesson plans, not thirty. Or, I can have one lesson plan that teaches all three ways simultaneously.

For example: maybe left-handed students learn one way, right-handed students learn a different way, and ambidextrous students learn a third way. If true, this model allows me to honor my students’ differences AND create a coherent lesson plan.

As it turns out, people have proposed many (MANY) systems for sorting learners into “reasonable categories.”

Perhaps boys and girls learn differently.

Maybe introverts differ from extroverts.

Perhaps some people have interpersonal intelligence, while others have musical/rhythmic intelligence.

Maybe some learn concretely while others learn abstractly; some learn visually while others learn kinesthetically.

The list goes on.

Another Problem: False Learning Categories

Let’s add one more to that list:

Perhaps we can sort students according to the Myers-Briggs test. This student here is an ENTJ (extroverted, intuitive, thinking, and judging), while that student there is an ISFP (introverted, sensing, feeling, perceiving).

This system allows me to teach with distinct categories in mind, and so makes my teaching life easier.

Alas, this system suffers from a (familiar) deep flaw: it just ain’t true.

As Clemente I. Diaz explains, the Myers-Briggs Type Indicator doesn’t measure what it claims to measure.

In fact, it can’t. For example: the MBTI acts as if extroversion and introversion are two different personality types. In truth, we’ve all got a some of both — and, different settings bring out the introvert or extrovert in each of us.

All of the seemingly “reasonable categories” listed above are, in fact, false learning categories.

No: with very rare exceptions, boys and girls don’t learn differently.

No: introverts and extroverts don’t learn differently. (They don’t really exist. We’re all both, depending on the circumstances.)

No: we don’t have learning styles.

Here’s my advice:

Whenever a professed expert suggests you to divide students into different learning categories, assume those categories aren’t valid. Each of us learns our own way.

In a pithy sentence:

You are a learning style of one.

Replacing False Learning Categories with True Ones

That feel-good summary brings us back to the same problem. If each of my students learns differently, then I need to create 30 lesson plans. What to do?

Here’s the good news:

Although we all learn differently, we resemble each other more than we differ.

We all use working memory to learn. When teachers prevent working-memory overload, we benefit all our students. (Including the “introverts” and the “ENTJs.”)

We all use attention to learn. When teachers learn about alertness, orienting, and executive attention, we benefit all our students. (Including the “auditory learners” and the boys.)

Long-term memories form the same way for us all. Spacing, interleaving, and retrieval practice help (almost) all of us learn (almost) everything. (Yup: including the “abstract learners.”)

And so: teachers don’t need to pigeon-hole our students into particular learning categories.

Instead, we can focus on categories of cognitive function. The more we learn about the mental processes that enhance (or inhibit) learning, the more we truly benefit all of our students.

Can You Resist the Seductive Allure of Neuroscience?
Andrew Watson
Andrew Watson

The seductive allure of neuroscience often blinds us.

seductive allure of neuroscience

In fact, the image on the right shows the part of the brain — the focal geniculative nucleus — that lights up when we’re taken in by false neuroscience information.

Ok, no it doesn’t.

I’ve just grabbed a random picture of a brain with some color highlights.

And: as far as I know, the “focal geniculative nucleus” doesn’t exist. I just made that up.

(By the way: brain regions don’t really “light up.” That’s a way of describing what happens in an fMRI image. You’re really looking at changes in blood flow, indicated by different colors. Brains aren’t Christmas trees or smokers; they don’t light up.)

And yet, for some reason, a picture of a brain with some bits highlighted in color just makes us go wild with credulity.

The Seductive Allure of Neuroscience: Today’s Research

We’ve known for a while that people believe general psychology research more readily when it includes a picture of a brain.

Is that also true for research in educational psychology? That is, does this problem include research in teaching?

Soo-hyun Im investigated this question with quite a straightforward method. He explained educational research findings to several hundred people.

Some of those findings included extraneous neuroscience information. (“This process takes place in the focal geniculative nucleus.”)

Some also included a meaningless graph.

And some also included an irrelevant brain image (like the one above).

Sure enough: people believed the claims with the irrelevant brain image more than they did the same claim without that image.

In fact, as discussed in this earlier post, even teachers with neuroscience training can be taken in by misleading science claims.

Teaching Implications

If you’re reading this blog, if you’re attending Learning and the Brain conferences, you are almost certainly really interested in brains.

You want to know more about synapses and neurotransmitters and the occipital cortex. You probably wish that the focal geniculative nucleus really did exist. (Sorry, it doesn’t.)

On the one hand, this fascination offers teachers real benefits. For a number of reasons, I think it helps (some) teachers to know more about the process of synapse formation, or to recognize parts of the brain that participate in error detection.

At the same time, this interest confers upon us special responsibilities.

If we’re going to rely on brain explanations to support our teaching methods, then we should get in the habit of asking tough-minded questions.

Why are you showing me this brain image? Is the claim credible without the image?

What does that highlighted brain region have to do with learning?

Who says so? Can you cite some articles?

If the person presenting the information can’t — or won’t — answer these questions, then put down the fMRI image and step away from the research.

The teaching method itself might be sound, but the brain claims behind it are simply relying on the seductive allure of neuroscience.

Like Odysseus, you might be tempted — but do not give in to these neuro-Sirens.

Don’t Be Fooled by the Learning Pyramid Myth
Andrew Watson
Andrew Watson

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You have no doubt seen the tidy pyramid: students remember 5% of what they hear in a lecture, 10% of what they read, 20% of what they see, and so forth.

In crafting such a pyramid, its creators promote more active kinds of learning. The bottom of the pyramid, for example, might be “teaching others”: a highly active kind of learning that seems to generate all sorts of learning.

The Learning Pyramid Myth

The problem with the pyramid is not merely that it’s inaccurate, but that it’s incoherent. The Effortful Educator does a nice job of pointing out its obvious flaws, and of backing up his critique with specific sources.

As an easy introduction to that critique: any research producing numbers that are all divisible by 5 does seem rather suspicious…

(I first heard this critique from Charles Fadel at a Learning and the Brain conference in San Francisco 3 or 4 years ago. It just so happens that he’ll be speaking at the upcoming LatB conference–although on a different subject.)

The important lesson here goes beyond “always check the sources.” After all, if you look to see if this pyramid has been published elsewhere, you’ll find all sorts of examples.

Instead, the point is “always check the specific claims.” In this case, for example, you don’t need to see if someone has published a similar pyramid before; you need to see how the author supports the specific claim that students remember only 5% of what they hear in a lecture.

In fact, you should be most interested in research that focuses on students like yours.

Let’s imagine you found a study showing that students in a college art history class remembered 80% of what they heard in a lecture. That’s very interesting to college art history teachers–especially those who teach in the same way this particular professor does.

But, if you teach 5th graders, it doesn’t really help you very much.

Graphical representation of data can be inspiring: that’s one reason to be certain that the information in the graphic is correct.

[Addendum: 1/27/18] I’ve recently gotten some additional data on the “Learning Pyramid” from Charles Fadel. Enjoy!

Fadel Multimodal Learning Through Media – What the research says

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Andrew Watson
Andrew Watson

I live in Boston. I’m a Tom Brady fan. But, good heavens, his Brain Training program looks like snake oil.

The website (and, no, I’m not providing a link) uses all the right buzzwords: “brain plasticity,” “personalize,” “money-back guarantee!”

Some of the claims have a surface plausibility. You can, in fact, train your ability to track objects in space. Video games can do that for you, too.

But the idea that all of this comes together to promote “brain speed” and “intelligence” seems laughable. (I don’t know what “brain speed” even means.)

The Recent History of “Brain Training”

Always remember: Lumosity was fined $2,000,000 for making false claims sounding like these. I suppose it’s possible that Brady’s Brain Team has cracked a code that no one else has. But, it seems mightily unlikely.

I’m so vexed that I’m tempted to make a joke about Deflate-gate. For a Patriots fan, that’s as bad as it gets.

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Andrew Watson
Andrew Watson

When you see claims for an exciting new brain training finding (the headline crows “Dementia Breakthrough? Brain training game ‘significantly reduces risk’ “), you can expect to see the skeptics respond very quickly.

As the Guardian reports, the study didn’t follow rigorous definitions of dementia–it allowed participants to self-report!–and their results didn’t consistently reach statistical significance.

We ardently hope that someday we’ll find brain-training games that work. Perhaps later research will reveal these games to be effective.

For the time being, however, it seems the best we’ve got to reduce the likelihood of dementia is lifestyle changes: exercise being the best option.

I’ll see you on the jogging track tomorrow morning…

Finding Meaning in Visuals
Andrew Watson
Andrew Watson

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When you open your eyes, where do they focus?

Presumably, your eyes automatically turn to the part of the visual field that stands out the most: the bright red door, the tower jutting up from the cliff, the sharp angle against all the curves.

However, it’s also possible that your eyes naturally turn to the part of the visual field that means the most: the subtle-but-essential clue, the small-but-important face, the mundane-but-crucial key that unlocks the mystery.

In the first hypothesis, our visual systems immediately process information without taking meaning into account; in the second, those systems take enough time to include meaning in their guidance.

John Henderson‘s team developed quite an intricate system for testing these possibilities. (You can read the full description here.)

The short version is: they used images where the part that stood out was distinct from the part that meant the most. And, they used an eye-tracking gizmo to see where people looked first.

The answer: eyes focus first on meaning.

Even at the most basic level of processing, our brains prioritize meaningful information over flashy information.

What Henderson’s Research Means for Teachers

This study reminds me of Daniel Willingham’s response to learning styles theory.

In Why Don’t Students Like School, Willingham argues that–for example–visual processing differences don’t make much difference for most students because–most of the time–we don’t want our students to think about what something looks like, we want them to think about what that something means.

Henderson’s study suggests that, even at the moment of initial processing, our eyes prioritize meaning.

For this reason, it can be true that some people remember visuals better than others, but they still aren’t “visual learners.” All of us are “visual learners” because all of our eyes focus on meaning more than on purely visual salience.

Neuroscience and Neuromyths
Andrew Watson
Andrew Watson

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Does neuroscience education help reduce a teacher’s belief in neuromyths?

According to this recent study: not as much as we would like.

In some cases, neuroscience education does help teachers.

For instance, 59% of the general public falsely believe that listening to classical music increases reasoning ability. That number is 55% for teachers, but drops to 43% for teachers who have had neuroscience training.

Similarly, teachers with knowledge of neuroscience are less likely to embrace a “left-brained vs. right-brained” understanding of learning than teachers without. (See video here.)

However, neuromyths about learning styles and about dyslexia persist–even among teachers with neuroscience education.

Among the general population, 93% of people incorrectly believe that “individuals learn better when they receive information in their preferred learning style.” That number falls to 76% among teachers–but is almost identical (78%) for teachers who know from neuroscience.

And: teachers who have studied neuroscience believe that writing letters backwards is a sign of dyslexia at almost the same rate as those who haven’t.

The Big Question

Studies like these lead me to this question: why are some neuromyths so sticky? Why do so many of us teachers believe in, say, learning styles theory despite all the scientific evidence to the contrary?

Why does this belief persist even among those–like we who attend Learning and the Brain conferences–who have placed science at the center of our professional development?

I welcome all thoughts on this question…

Lefty or Righty?
Andrew Watson
Andrew Watson

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You’ve surely heard about students being left-brained or right-brained. And: you’ve probably heard that this belief is a myth.

The folks over at Ted Ed have made a helpful video explaining the genesis of this belief, and the ways that we know it’s not true.

An important note in this controversy: it is certainly true that some people are more creative than others. It’s also certainly true that some are more logical than others. After all–to summarize psychology in three words–people are different.

Also, the phrase “left-brained” may be useful shorthand for “rather more logical,” and “right-brained” for “more creative than most.”

After all, we can use the phrase “heart-broken” without believing that this lovelorn person’s heart is–you know–actually broken.

But, we should be quite clear that creativity and logical thought aren’t “happening” on different sides of the brain. In fact, we should also recognize that a sharp distinction between creativity and logical thought doesn’t even make much sense.

So: you might be left-handed or right-handed, but you aren’t left-brained or right-brained–except in a rather creative way of speaking.

(By the way, if you’d like to learn about AMAZING research into people who literally have only half a brain, click here.)

Out with the Old…
Andrew Watson
Andrew Watson

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Articles about learning styles theory–including my own–typically focus on debunking the theory.

This article, over at The Learning Scientists, takes a different approach: it chooses specific parts of learning styles theory, and shows how each small part derives from another–more useful–theory about learning.

The goal of this article, in other words, is not that you stop believing a false theory, but that you replace false beliefs with correct ones.

In my view, that’s a GREAT approach, and one that I plan to borrow.

Good News ! (?) College Profs Don’t Use the Untrue Learning Styles Theory That They Nonetheless Believe
Andrew Watson
Andrew Watson

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This story offers both good and bad news: I’ll let you sort out whether there’s more good than bad…

The bad news: according to a just-published study, 58% of college professors in Britain believe in learning styles theory. This belief persists despite considerable evidence showing that…well…the theory just isn’t true.

(More precisely: considerable evidence showing that the many conflicting versions of the theory don’t have good evidence to support them.)

The good-ish news: although 58% is too high, it’s also lower than other numbers found in surveys of British K-12 teachers.

The oddly good news: although many profs believe in this theory, relatively few of them do anything about it. That is, only 33% report using any specific techniques that they ascribe to learning styles theory.

In my view, that’s good news (because relatively few people are doing anything with a potentially harmful theory), but also bad news (because we want teachers to use the (correct) conclusions of learning science that they believe in).

In other words: in our ideal world, we want all teachers to KNOW what psychology and neuroscience can accurately tell us about learning–and we want them to USE that knowledge.

Learning Styles vs. Individual Differences

Paradoxically, many people believe in learning styles theory because they misunderstand it.

The theory says that we can divide people up into different groups of learners (“visual, auditory, kinesthetic” is the best-known version of the theory), and then teach those groups in ways that match their style. If we do so, they’ll learn better.

(Here’s yet another article showing the falsity of the theory.)

However, I think most people understand learning styles theory this way: “all people learn differently, and therefore I should present my content in different ways to be sure that all people can get it in their unique way.”

This theory a) is absolutely true, and b) is NOT what learning styles theory says.

Learning styles theory, again, says that we can diagnose distinct categories of learners, and teach people within those subgroups the same way.

This second theory–called “individual differences”–says that we all learn somewhat differently from each other.

There is no group of people who learn exactly the same way I do. I’m a learning style of one.

For this reason, we could “teach to a student’s learning style” only if everyone were tutored individually. Because schools teach students in groups, teachers should indeed teach all content in many different ways–so that each of us with our individual learning styles can grok these new ideas.

If I truly believed in learning styles theory, I should–instead–test all of my students to determine their style, and then sort them into distinct groups. After that sorting has happened, I should then teach each group differently; all people in each subgroup learn the same way, so they’ll learn best when I teach in that one style only.

What to Do with this Research?

Are you already teaching your content in multiple different ways? If yes, then you’re already following an individual differences theory (not learning styles theory). Keep doing what you’re doing.

If no, try to do so as much as possible. If your students don’t understand when you explain a concept one way, try drawing a picture. Or, use several analogies. Or, have a hands-on demo. Or, give several examples, and have students abstract a principle from them. Or, have students explain it to each other. Or, find a song that enacts the concept you want to explain. Or…

If you’re still a learning styles enthusiast, I suggest that you click some of the links above and see why psychologists just don’t believe the theory. You might also check out Chapter 7 of Daniel Willingham’s Why Don’t Students Like School?; as always, he does an excellent job of clarifying a complex topic.

You should also keep asking questions when you get to the next Learning and the Brain conference.  You’ll meet plenty of wise and well informed people who can distinguish between “learning styles” and “individual differences,” and contrast the evidence behind both.