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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.)

How Best to Take Notes: A Public Service Announcement
Andrew Watson
Andrew Watson

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The school year is beginning, and so you’re certainly seeing many (MANY) articles about the debate over laptop notes vs. handwritten notes.

If your research stream is anything like mine, most of the articles you see assert that handwriting is superior to laptops for note-taking.

And, most of those articles cite Mueller and Oppenheimer’s blockbuster study, arguing–as its witty title avers–“the pen is mightier than the keyboard.”

Here’s my advice: don’t believe it.

More substantively: it’s possible that the pen is mightier than the keyboard. However, Mueller and Oppenheimer’s study supports that conclusion only if you believe that students can’t learn new things.

(Of course, that would be a very odd belief for a teacher to have.)

If you believe that students can learn new things, then this widely cited study suggests that laptop notes ought to lead to more learning than handwritten notes.

After all, a student who has practiced correct laptop note-taking can a) write more words than a student who takes notes by hand, and b) take notes in her own words just as well as a student who takes notes by hand.

Mueller and Oppenheimer’s research clearly suggests that a) + b) ought to lead to more learning.

The details of this argument get tricky; I lay them out in this post.

TWO CAVEATS

FIRST: I am not saying that I know laptop notes to be superior to handwritten notes.

I am saying that the study most often used to champion handwritten notes simply does not support its own conclusion. If you believe students can learn new things, then Mueller and Oppenheimer’s research suggests that laptop notes ought to lead to more learning.

A study testing my hypothesis has not–as far as I know–been done.

SECOND: you might reasonably say that students taking notes on laptops will be distracted by the interwebs. For that reason, handwritten notes will be superior.

I very much share this concern. (In fact, Faria Sana’s research shows that laptop multitasking distracts not only the multitasker, but also the person sitting behind the multitasker–a serious problem in lecture halls.)

However, multitasking is a separate question–not one addressed by Mueller and Oppenheimer.

The narrow question is: do non-multitasking laptop note-takers learn more than non-multitasking handwritten note-takers?

If the answer to that question is “yes,” then we should train laptop note-takers a) to reword the teacher’s lecture–not simply to write it down verbatim, and b) to unplug from the interwebs.

This combination will certainly be difficult to achieve. But, it might be the very best combination for learning.

A FINAL POINT

The laptops-vs.-handwriting debate stirs up a remarkable degree of fervor–more than I would expect from a fairly narrow and technical question.

I suspect that this debate is in fact a proxy war between those who think we should use more technology in schools (who favor laptop notes) and those who think we already use too much technology in schools (who favor handwriting).  That is: we’re not so much concerned with note-taking specifically as we are with technology in general.

That’s an important conversation to have. In fact, it’s central to the November Learning and the Brain Conference.

At the same time, let’s be sure that our general views on technology don’t obscure the answer to a precise, researchable question. If students learn more by taking notes on laptops, let’s find that out with well-designed research studies and then guide them well.

 

Behave: The Biology of Humans at Our Best and Worst by Robert M. Sapolsky
Rebecca Gotlieb
Rebecca Gotlieb

Humans are capable of horrifying aggression, dehumanization, destruction, and violence and at the same time inspirational altruism, compassion, and forgiveness. Drawing on an astounding array of evidence from across subfields within biology, neuroscience, psychology, and anthropology, Robert M. Sapolsky explains how people come to display these behaviors. Sapolsky, a Stanford University professor of biology and neurology, has recently written Behave: The Biology of Humans at our Best and our Worst. The book traces behaviors to occurrences in the brain, body, environment, and culture preceding an action on timescales ranging from seconds to thousands of years. Although long and intricate, the arguments are easy to follow because of the captivating integration of interdisciplinary research, the use of an informal, engaging tone, and appendices that aid in understanding basics of neuroscience, endocrinology, and proteins. This book is an excellent choice for those looking for a non-fiction book recommendation and for those committed to understanding how to harness the best of human behavior.

Although our best and worst behaviors do not begin in the brain, in the seconds before we act the factors that enable our actions converge in the brain. Sapolsky describes how our nervous system and particularly certain parts of the brain (e.g., the amygdala) contribute to our aggressive behaviors and how other parts (e.g., the frontal cortex) contribute to difficult but appropriate behaviors. Immediately preceding a behavior there are also cues in the environment that impact the decisions we make. These cues may be subliminal, verbal, visual, or from our body. Hormones such as testosterone and oxytocin impact the way we behave on a protracted timescale and as a function of their ratios relative to one another. Although the interaction between our genes and environment shapes our behavior, our genes influence our behavior to a lesser extent than most think, Sapolsky argues. Nonetheless, he offers an evolutionary perspective on how we have evolved to cooperate (or not).

A human development perspective is helpful in understanding how people behave the way they do. For example, Sapolsky reviews the fact that adolescence is a time during which individuals across cultures (and even species) engage in greater risk-taking, exploration, peer affiliation, and emotional reactivity. The brain’s frontal cortex, which supports engaging in self-regulation, is not yet able to operate at maximal efficiency. This contributes to adolescents exhibiting some aberrant behaviors. However, well before adolescence, during infancy and childhood, people are developing social and moral skills such as empathy, perspective-taking, and the delay of gratification that will contribute to their propensity to act in certain ways as adults. A child’s environment, including the parenting practices, culture, and socio-economic status to which they are exposed, affects their development on both biological and psychological levels. Sapolsky is careful to caution, however, that it is unlikely that childhood experiences will definitively lead to a specific adult behavior.

Sapolsky reviews cornerstone social and affective psychological research about how we identify with others, rank members of our groups, obey authority, act morally, and understand and alleviate other’s suffering. We naturally tend to form groups of “us” and “them,” and we tend to think of “them” more negatively than “us.” We form hierarchies that formalize unequal access to resources, although humans are unique among species in that sometimes those at the top of hierarchies try to serve the common good, and not only their own. All societies have rules about moral and ethical behavior, although there are cultural differences in morality. Religion likely evolved to help us do right, and belief in a judgmental god facilitates strangers interacting cooperatively.  While empathy can help us understand how others feel, it is actually an emotionally distant stance that helps us act more compassionately. Social neuroscientists have made sweeping claims about the role of “mirror neurons”—neurons that activate both when we perform an action and when we see someone else perform that action—in feeling and understanding other’s pain. Sapolsky cautions that the importance of mirror neurons in understanding and mimicking others’ behavior and taking their perspective has likely been oversold.

Sapolsky concludes by expressing his concern about flagrant injustices in the criminal justice system. Although he calls for major revision to the system and to how we treat those found guilty of crimes, on the whole he ends on a hopeful note. Overall, there is a trend towards the worst of human behavior declining (e.g., fewer murders, less denial of rights) and example after example of remarkably inspiring behavior occurring even in the most unlikely of circumstances. People are on average more generous with others than it is logical for them to be. Moreover, we have reason to be hopeful because, as Sapolsky demonstrates, we have an ever-growing body of knowledge about how to inspire the best of human behavior.

Sapolsky, R. M. (2017). Behave: The Biology of Humans at Our Best and Worst. New York, NY: Penguin Press.

 

Online K-12 Schools
Andrew Watson
Andrew Watson

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The upcoming Learning and the Brain Conference (Boston, November) will focus on “Merging Minds and Technology.”

Given that I blog so much about the importance of skepticism, it seems only appropriate to offer up at least some voices that are highly doubtful about the benefits of technology–in particular, virtual classrooms.

Freddie deBoer has strong opinions, and he supports them with data. You’ll want to check out the graph he includes: one of the axes shows the equivalent of “days of learning lost.” That number–especially when it comes to math learning–will astonish you.

Promoting Motivation?
Andrew Watson
Andrew Watson

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Over at 3 Star Learning Experiences, Kirschner and Neelan are skeptical about research into academic motivation.

In essence, they argue that defining motivation can be quite a trick, and measuring it even more so. If we struggle to define and measure something, it’s hard to be scientifically thoughtful (and accurate) about it.

As a result, we tend to discuss vague things like “student engagement”: it sounds good (who could be opposed to “student engagement”?), but it’s hard to know if behavior that looks like “engagement” reliably promotes learning.

I share much of their concern about this part of our field. In fact, I find Dweck’s work on Mindset, and Steele’s work on Stereotype Threat, so interesting because they have found motivational topics that can be both defined and measured.

Like Kirschner and Neelen, I’ll be more motivated to explore this field when more of it can cross these essential thresholds.

 

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Andrew Watson
Andrew Watson

Two articles jumped out at me today because of the illustrative way they clash with each other.

Writing on Twitter, and providing helpful links to several sources, Adam Grant argues that “Differences between Men and Women are Vastly Exaggerated.”

Whereas Neuroscience News published a summary of a recent research study (by Daniel Amen) with the headline “Women Have More Active Brains Than Men.”

So, which is it? Are differences between the sexes exaggerated? Or do male and female brains operate very differently?

Let’s use three lenses to look at that question.

The First Lens: Discipline

Oversimplifying for the sake of clarity, we can say that neuroscience studies brains–that is, physical objects. It looks at neurons and blood flow and neurotransmitters and electrical energy. Things.

Psychology studies the behavior of brains–that is, what people do with those physical objects. It looks at a student’s ability to remember, or an athlete’s ability to concentrate, or an adult’s ability to learn a new language. Behaviors.

Obviously, both neuroscience and psychology are fascinating. But, which discipline is more useful?

Of course, the answer to that question depends on your definition of “useful.”

I myself think that teachers benefit from learning about the behavior of brains (that is, psychology) more than we do from learning about brains as objects (that is, neuroscience).

For example, if I tell you how brains change physically when long-term memories form, that information is interesting. (In fact, I often share this information when I talk with teachers.)

But, if I tell you what kind of teaching behavior makes long-term memory formation more likely, that information is really useful.

For this reason, I think Grant’s summary–which focuses on psychology–is likely to be more useful than the Amen study–which focuses on neuroscience.

For example: Grant’s summary looks at anti-stereotype-threat strategies that combat gender differences in college majors or professions. Teachers can do something with this information.

The Amen study, on the other hand, tells us about different levels of brain activity as measured by Single Photon Emission Computed Tomography (SPECT). I don’t know exactly what SPECT is, and I certainly don’t know how I would teach differently given this information.

So for me, again, neuroscience is fascinating, and psychology is useful.

(To be clear, I have several colleagues–whose judgment I highly respect–who disagree with me strongly on this point; that is, they think the neuroscience is just as important for teachers as the psychology. So, if you think I’m wrong, you’re not the only one.)

The Second Lens: The Population Being Studied

Whenever you use brain research to help your teaching, you should focus on the participants in the study. The more the participants resemble your own students, the likelier it is that the research findings will benefit your students.

So, if you find a study that says three repetitions of a practice exercise benefits long-term memory, that study might be very helpful. But: if the participants in the study were college students at an elite university, and you teach 1st graders who are already struggling with formal education, the study might not mean much to you.

After all, your students differ from those in the study so substantially that there’s no way to be sure the conclusions apply to your teaching context.

Grant’s research summary chooses several very large analyses. When he looks at (very small) gender differences in math scores, for example, his source draws on almost 4,000 studies. It seems likely that such broadly supported research will apply to my students too.

Amen’s study looks at a very large population–almost 27,000 people. However, and this is a big however, all but 119 of those people were suffering from “a variety of psychiatric conditions such as brain trauma, bipolar disorders, mood disorders, schizophrenia/psychotic disorders, and attention deficit hyperactivity disorder (ADHD).”

For obvious reasons, it’s hard to draw conclusions about neurotypical brains by studying aneurotypical brains.

So, again, because the Grant summary includes students like mine, and the Amen study doesn’t, I’m likelier to benefit from Grant’s conclusions.

(By the way, it’s entirely possible that your students seem more like Amen’s participants than those included in Gran’s summary–in which case, you may be more swayed by Amen’s findings.)

The Third Lens: Biases

In the world of science, “bias” isn’t necessarily a bad thing. All analysis–including yours, including mine–includes bias. Our goal should not be to eliminate bias (we can’t), but to recognize it in ourselves and others, and to do the best we can to look for countervailing biases.

So, let me be up front with you: my bias is, I’m usually skeptical about strong claims of gender difference in education. This skepticism has many sources–but, no matter how good those sources are, you should know that I’m not an impartial author delivering truth from on high.

I am, instead, someone who rarely finds evidence of gender difference in education persuasive…and (surprise!) my post has twice concluded that the “gender makes little difference in education” article is more useful and persuasive than the “there are big gender differences in brains” article.

Now that you know my bias, you should a) look for people with the opposite bias, and see if you find their arguments more persuasive than these, and b) recognize your own biases, and do your best to counterbalance them.

After all, one thing is certainly true about male and female brains: we’re all faster to believe ideas that support our own prior conclusions.

——————————————

Two final notes:

First, my thanks to Stephanie Sasse (prior editor of this blog) and Maya Bialik (former writer for this blog) for their idea of “lenses” as a way to analyse brain research.

Second, brain research generally hasn’t come to grips with people who fall outside a male/female gender dichotomy. Our understanding of gender and learning will be stronger and more useful when it does.

Cell Phones in the Classroom: Expected (and Unexpected) Effects
Andrew Watson
Andrew Watson

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Quick! Where’s your cell phone?

Now that I’ve got your attention: what effect does the location of your cell phone have on your attention?

Researchers have recently found some predictable answers to that question–as well as some rather surprising ones. And, their answers may help us think about cell phones in classrooms.

The Study

Adrian Ward and Co. wanted to learn more about the “mere presence” of students’ cellphones.

That is: they weren’t asking if talking on the phone distracts drivers (it does), or if a ringing phone distracts that phone’s owner (it does), or even if a text-message buzz distracts the textee (it does).

Instead, they were asking if your phone lying silently on the desk in front of you distracts you–even if its not ringing or buzzing.

Even if you’re NOT CONSCIOUSLY THINKING ABOUT IT.

So they gathered several hundred college students and had them complete tests that measure various cognitive functions.

The first group of students left all their stuff–including phones–in another room. (That’s standard procedure during such research.)

The second group brought their phones with them “for use later in the study.” After silencing the phones (no ringing, no buzzing), they were told to put them wherever they usually keep them. Roughly half kept them in a pocket; the other half kept them in a nearby bag.

The third group brought phones along, and were instructed to put them in a marked place on the desk in front of them. (These phones were also silenced.)

Did the proximity of the phone matter?

The Expected Results

As is so often true, the answer to that question depends on the measurement we use.

When the researchers measured the students’ working memory capacity, they found that a cell phone on the desk reduced this essential cognitive function.

Specifically, students who left phones in their bags in another room averaged about a 33 on an OSpan test. (It measures working memory–the specifics aren’t important here.) Those who had cell phones on their desks scored roughly 28.5. (For the stats pros here, the p value was .007.)

If you attend Learning and the Brain conferences, or read this blog regularly, you know that working memory is ESSENTIAL for academic learning. It allows us to hold on to bits of information and recombine them into new patterns; of course, that’s what learning is.

So, if the “mere presence” of a cell phone is reducing working memory, it’s doing real harm to our students.

By the way, the students who had their phones on their desks said that they weren’t thinking about them (any more than the other students), and didn’t predict that their phones would distract them (any more than the other students).

So, our students might TELL US that their phones don’t interfere with their cognition. They might not even be conscious of this effect. But, that interference is happening all the same.

The UNEXPECTED Results

Few teachers, I imagine, are surprised to learn that a nearby cell phone makes it hard to think.

What effect does that phone have on the ability to pay attention?

To answer this question, researchers used a “go/no-go” test. Students watched a computer screen that flashed numbers on it. Whenever they saw a 6, they pressed the letter J on the keyboard. They ignored all the other numbers.

(The researchers didn’t go into specifics here, so I’ve described a typical kind of “go/no-go” task. Their version might have been a bit different.)

To do well on this task, you have to focus carefully: that is, you have to pay attention. Researchers can tell how good you are at paying attention by measuring the number of mistakes you make, and your reaction time. Presumably, the slower you are to react, the less attention you’re paying.

So, how much difference did the cell phone on the desk make? How much slower were the students who had the phone on the desk, compared to those whose phones were in the other room?

Nope. Sorry. No difference.

Or, to be precise, the students who had the phone on the desk reacted in 0.366 seconds, whereas those whose phones were elsewhere reacted in 0.363 seconds. As you can imagine, a difference of 0.003 seconds just isn’t enough to worry about. (Stats team: the p value was >.35.)

Explaining the Unexpected

Ward’s results here are, I think, quite counter-intuitive. We would expect that the mere presence of the phone would interfere with working memory because it distracted the students: that is, because it interfered with their attention.

These results paint a more complicated picture.

The explanation can get technical quickly. Two key insights help understand these results.

Key Insight #1: Attention isn’t just one thing. It has different parts to it.

One part of my attentional system brings information into my brain. I am, at this moment, focusing on my computer screen, Ward’s article, my keyboard, and my own thoughts. Sensory information from these parts of my world are entering my conscious mind.

Another part of my attentional system screens information out of my brain.  I am, at this moment, trying not to notice the bubble-and-hum of my cats’ water gizmo, or my cat’s adorable grooming (why is his leg stuck up in the air like that?)–or, really, anything about my cats. Sensory information from those parts of my world are not (I hope) entering my conscious thought.

The attention test that Ward & Co. used measured the first part of attention. That is, the go/no-go task checks to see if the right information is getting in. And, in this case, the right information was getting in, even when a cell phone was nearby.

Key Insight #2Working Memory INCLUDES the second kind of attention.

In other words, we use working memory to keep out adorable cat behavior–and other things we don’t want to distract our conscious minds. Other things such as–for example–cell phones.

The nearby phone doesn’t interfere with the first part of attention, and so the correct information gets into student brains. For this reason, students do just fine on Ward’s “attention” test.

However, the nearby phone does make it hard to filter information out. It’s bothering the second part of attention–which is a part of working memory. For this reason, students do badly on Ward’s “working memory” test.

Classroom Implications

Ward’s research, I think, gives us some clear pointers about cell phones in classrooms: the farther away the better.

Specifically, it contradicts some teaching advice I’d gotten a few years ago. Some have advised me that students should silence their phones and put them on the desk in front of them. The goal of this strategy: teachers can be sure that students aren’t subtly checking their phones under their desks.

While, clearly, it’s beneficial to silence phones, we now know that their “mere presence” on the desk interferes with working memory.

In brief, we need another solution.

(Sadly, Ward doesn’t tell us what that solution is. But she warns us away from this phone-on-the-desk strategy.)

Implications for Brain Science in the Classroom

Teachers LOVE learning about psychology and neuroscience research because it can offer such helpful and clarifying guidance for good teaching.

(I should know: I’ve spent the last ten years using such research to be a better teacher.)

At the same time, we teachers occasionally stumble into studies like this one where psychology gives us results that seem strange–even impossible.

After all: how can you tell me that cell phones don’t interfere with our students’ attention? And, if they don’t interfere with attention, how can they possibly interfere with something like working memory?

The answer–as described above–is that psychologists think of attention as having multiple parts, and one of those parts overlaps with working memory. Because psychologists define the word “attention” one way and we teachers use it a different way, research like this is potentially very puzzling.

(You can imagine our students reading this study and crowing: “See! Cell phones have NO EFFECT on attention! “)

For this reason, we need to be especially careful when we enter into the world of brain science. Definitions of basic words (“attention,” “transfer,” “significant”) might trip us up.

And so, you’re wise to be attending Learning and the Brain conferences, and to be consulting with experts who know how to read such studies and make sense of them.

In brief: teachers should be modest when we try to interpret primary research in neuroscience and psychology. These fields are so complicated that we just might misunderstand even basic terms.

By the way, the same point holds in reverse. Neuroscientists and psychologists should be modest when telling us how to teach. Our work is so complicated that they just might misunderstand even basic classroom work.

This mutual modesty is–I believe–the basis of our field. We all come together to learn from and collaborate with each other. Our students will benefit from this complex and essential collaboration.

Emotional Intelligence: Teachers’ Perspectives
Andrew Watson
Andrew Watson

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The National Network of State Teachers of the Year has released a report on teaching emotional intelligence.

Overall, they find research in this field persuasive. That is, these award-winning teachers think it likely that social/emotional intelligence can be taught, and does benefit students in a number of ways.

At the same time–and for obvious reasons–they think more professional development and more funding are important. And, they worry about including these measures in teacher evaluations.

If your school is considering these questions, this report might be a helpful place to start.

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Andrew Watson
Andrew Watson

I’ll be on vacation during the month of August; in fact, I’ll be out of the country and away from the interwebs for much of that time.

And so, posting will be light while I’m away: perhaps an article a week or so.

I hope you’re enjoying the perspectives we bring you, and I assure you–there’s lots more to come in the fall.

-Andrew