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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

Helping Students Study Well: The Missing Plank in the Bridge?
Andrew Watson
Andrew Watson

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Ok: you’ve taught your students a particular topic, and you’ve provided them with lots of ways to review and practice for the upcoming test. But, will they do so?

How can you ensure that they prepare most effectively?

Patricia Chen’s research team studied a surprisingly simple answer to this question. You might help your students study by asking them to think about the approaches that they will use–and, to make specific plans.

Chen & Co. asked students to follow a four step process:

Step 1: students wrote about the kind of questions they expected on the test.

Step 2: they then chose the resources they wanted to use to prepare for those questions. The checklist from which they chose included 15 options, such as “go over practice exam questions,” “go to professor’s office hours,” and “work with a peer study group.”

Step 3: they wrote why and how they thought each of the resources they selected might be helpful.

Step 4: they made specific and realistic plans about where and when they would use those resources.

Compared to a control group–who were simply reminded that they should study for the upcoming exam–students in this group averaged 1/3 of a letter grade higher.

For example, students in the control group had an average class grade of 79.23. Those who went through these 4 steps had an average grade of 83.44.

That’s a lot of extra learning from asking four basic questions.

What Should We Do?

Chen’s research team worked with college students studying statistics. Do their conclusions apply to–say–5th graders studying history? Or, 10th graders learning chemistry?

As is so often the case, individual teachers will make this judgment call on their own. Now that you’ve got a good study suggesting that this method might work, you can think over your own teaching world–your students, your curriculum, your approach to teaching–and see if this technique fits.

In case you decide to do so, I will offer three additional suggestions.

First: check out Gollwizer’s work on “implementation intentions.” His idea overlaps with Chen’s work, and would pair with it nicely.

Second: I’m a little concerned that Chen’s list of proposed study strategies included two options we know don’t help–reviewing notes and rereading the text. (If my skepticism about those two methods surprises you, check out Ian Kelleher’s post here.) Your list of study strategies should NOT include those suggestions.

Third: as always, keep working memory limitations in mind. The kind of meta-cognition that Chen outlines can clearly benefit students, but it also might overwhelm their ability to keep many ideas in mind at the same time.

However, if we can prevent working memory overload, this strategy just might help bridge the gap between “I taught it” and “they learned it.” As is so often the case, a key plank in that bridge is: asking students to think just a little bit more..

How to Lie with Graphs
Andrew Watson
Andrew Watson

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A handy video from Ted Education gives some pointers on spotting misleading graphs. Pay close attention to their warnings about meddling with the y-axis. Believe it or not, this sort of thing happens frequently in the world of science publishing.

(If you’re interested in visual representation of data, I encourage you to look up the work of Edward Tufte. He’s written some amazing books, and is a fun and provocative thinker.)

One note about the Ted Ed video: its has clear political leanings–so clear, in fact, that I’ve hesitated in linking to it. I hope that you will watch it, because its suggestions are both both important and useful.  Rest assured: my goal is not to sway your political views, but to give you a helpful tool in analyzing scientific information.

“One Size Fits All” Rarely Fits
Andrew Watson
Andrew Watson

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If you attend Learning and the Brain conferences, or read this blog regularly, you know all about the well-researched benefits of retrieval practice. (You can read earlier articles on this subject here and here.)

The short version of the story: if we ask students to recall ideas or processes that they have learned, they are likelier to learn those ideas/processes deeply than if we simply go over them again.

But, does retrieval practice always work?

The question answers itself: almost nothing always works. (The exception: in my experience, donuts always work.)

Over at The Learning Scientists, Cindy Wooldridge writes about her attempt to use retrieval practice in her class–and the dismaying results.

From her attempt, Wooldridge reaches several wise conclusions. Here are two of them:

Another very important take-away is that learning science is not one size fits all. Just because we say retrieval practice works, doesn’t mean it works in all scenarios and under all circumstances.

This is why it’s so important to be skeptical. Use objective measures to assess whether and how a teaching strategy is working for your students and take time to do some reflection on how and why it worked (or didn’t). This is another great example of a time when my intuition said that this absolutely should work, but we should follow the evidence and not just intuition.

To learn more about her effort and her conclusions, click here.

Rates of ADHD Diagnosis: Age, Gender, and Race
Andrew Watson
Andrew Watson

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Dr. David Rabiner offers a helpful summary of trends in ADHD diagnoses.

The short version: rates of diagnosis continue to increase.

The longer version: depending how you analyze the categories, you get very different results. For children younger than 5, the rates are — in fact — falling. For adults over 65, however, the rate rose 348% from 2008-9 to 2012-13.

(That is not a typo: 348%).

One important point as you review these data: percentages are interesting, but so too are the absolute numbers. Diagnoses among those over 65 can increase so much as a percentage because the absolute numbers are relatively low.

By the way: analysis by gender shows an interesting pattern. Among adults, both diagnosis and medication are increasing faster for men than women. Among children, however, that pattern is reversed.

Chocolate and Cocoa Help You Learn, Right?
Andrew Watson
Andrew Watson

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What’s not to love? The photo shows a mug of cocoa, with an already-nibbled chocolate bar in the background. Even better, the headline alerts us that both the cocoa and the chocolate “enhance cognitive abilities and memory.”

For once, this headline is not overselling the scientific article. In the abstract, the authors really do say

Although still at a preliminary stage, research investigating the relations between cocoa and cognition shows dose-dependent improvements in general cognition, attention, processing speed, and working memory.

WOW.

The authors even use the word “nutraceutical”–new to me–to emphasize that chocolate is both nutritious and pharmaceutically beneficial.

New that sounds this good can’t be true. Can it?

Maybe the News Really Is That Good

For their review, Valentina Socci’s team assembles a solid list of articles touting the physical benefits of cocoa flavanols: compared to control groups, those who have chocolate or cocoa over several days/weeks show better blood pressure, insulin resistance, and brain blood flow.

They also show exciting changes in various kinds of brain activity. One study, looking at a particular measure of brain activity (SSVEP), showed

changes in SSVEP average amplitude and phase across several posterior parietal and centro-frontal sites that indicated an increased neural efficiency in response to the working memory task.

Increased neural efficiency on a working memory task! Now you’ve got my attention…

Then Again, Maybe Not…

All that chocolate may have changed SSVEP average amplitude and phase. However, as teachers, we don’t really care about that: we care about learning. Did this “increase in neural efficiency” actually improve working memory?

Nope.

Similarly, another study showed that chocolate improved neural activity “in various brain regions in response to an attention switching task.”

But, that improved neural activity didn’t make them any better at switching attention.

In fact, of the six studies that focus specifically on one-time doses (not weeks-long doses), two showed no meaningful cognitive differences for those who had chocolate/cocoa, and the others showed differences in some measures or some participants–but not in all.

In other words, the research is suggestive and interesting, but hardly persuasive.

Who Is Learning?

I suspect that most of the people reading this blog are in the world of PK-12 education. How many of the people being studied were PK-12 students?

None.

For the studies looking at one-time doses of cocoa, most were in college.

For the studies looking at daily shots, many (most?) of the participants were older than 55.

In fact, many of these studies focused on people with some kind of cognitive impairment: typically dementia.

Reasonable Conclusions

Based on the data gathered here, I think we can reasonably say that for older people–especially those with some cognitive problems–cocoa flavanols might have some physiological benefits (blood pressure, insulin levels), and might even offer some cognitive boosts as well.

That’s exciting and helpful if you teach people, and especially if you are taking care of someone, in that group. (If you’re looking after someone with dementia, by the way, don’t rely on a blog for medical advice: talk with a doctor.)

However, we have no good reason to think that chocolate offers cognitive benefits for PK-12 students. Perhaps it does–but this article simply doesn’t present direct evidence to support that conclusion.

At the same time, I am entirely willing to hypothesize that chocolate offers substantial emotional benefits. For this reason, S’mores will be served at the upcoming Learning and the Brain Conference…

Memory Training That Really (Sort of) Works
Andrew Watson
Andrew Watson

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Imagine yourself following a route that you know quite well: perhaps your morning commute. You take your car out of your garage; drive past the Dunkin’ Donuts, past the old movie theater, past the grocery store; you park in your favorite spot, walk through the lobby, down the library corridor…

You can easily think of these places in order because you’ve followed this same path hundreds of times. Well, an ancient memory trick takes advantage of your well-rehearsed visual memory.

If you have–say–a list of words to memorize, you can take some time to associate each word with those places. For example, if you have to memorize the words “tomato, airplane, tuba,” you can create a vivid picture of a tomato splatted on your garage door, an airplane flying over the Dunkin’ Donuts, and a tuba band marching in front of the movie theater.

You can then recall those words simply by mentally following your morning commute to work.

Even if you have a very long list of words, this method still works; you can, after all, visualize many, many places along this familiar route.

The Research Questions:

This memory trick–called “the method of loci”–has been around for centuries. Memory champions typically win memory contests by using it. But, can just anyone do it? Do you need to be born with a special memory talent?

Martin Dresler’s research team answers some of these questions. He started by scanning the brains of memory champions while they did some memory feats, hoping to discern neural patterns associated with excellent memory.

He also scanned some non-memory experts as a baseline for comparison.

Sure enough, he found connectivity patterns that helped distinguish between these two groups.

Next, he trained those non-memory experts in two memory techniques. One group practiced the method-of-loci approach for 40 days, 30 minutes each day.

The other group used a well-established short-term memory exercise. (Perhaps you’ve heard of the n-back test.)

What did the researchers find?

The Research Answers:

First, the method of loci really helped. Those trained in this method more than doubled their ability to remember words on a list. (Those who did short-term memory training saw little more improvement than control subjects.)

Equally interesting: the method of loci training created the neural patterns that Dresler had found in the memory experts.

That is: this training paradigm BOTH helped participants remember more words AND changed their brain connectivity patterns.*

In other words: we have two really good reasons to believe that method of loci training helps people remember word lists.

The Inevitable Caveat

If you’ve read this blog for a while, you know I’m going to point out a downside sooner or later. That moment has arrived.

First, the method of loci helps students do something we don’t often ask them to do: remember lists of unrelated words. It’s a cool party trick, sure. But, at what point do we care if our students can do such things?

For example: I suspect the method of loci could be used to help students learn all the elements in the periodic table in order. But–why would we want them to do that? Would such knowledge meaningfully improve their understanding of chemistry?

Second, notice the extraordinary about of time the training took: 30 minutes a day for 40 days! Imagine what else you could do with those twenty hours.

So, I’m not exactly opposed to teaching the method of loci; I’m just unimpressed by it. The method requires lots of training time, and creates a benefit that doesn’t help very much.

If, by the way, you have a good use for this method, please let me know. I’d love to hear about its practical classroom uses.

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  • Although it’s true that this training changed the brains of those who participated in it, it’s also true–as I’ve written before–that any activity repeated at length changes your brain. This finding is interesting, but not exactly surprising.

Interrupting Skilled Students
Andrew Watson
Andrew Watson

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Here’s a sentence that won’t surprise you: practice typically makes us more skilled at the activity we’re practicing.

Here’s a sentence that might surprise you: practice makes us more vulnerable to mistakes after an interruption.

So, for example, if my students have just learned how to solve for three variables with three equations, then an interruption will have some effect on them when they get back to work.

If, however, they have spent some time getting familiar with the process of solving for three variables with three equations, then an interruption will distract them even more.

Said a different way: an interruption may distract your relatively advanced students more than your less advanced students.

Counter-intuitive?

My first response to this research finding was straightforward puzzlement. Why are experienced students more distractible than neophytes?

As I’ve thought more about this study, I’ve had an idea. If I’m experienced at a step-by-step activity, then I’m probably not paying full attention to each step as I go through the process. After all, my experience lets me work almost by rote. In this case, an interruption is quite a problem, because I wasn’t really focused on my place in the list of steps.

However, if I’m a newbie, I’m likely to be focusing quite keenly on each step, and so–after a distraction–am likelier to remember where I left off.

Teaching Implications

In the first place, this study by Altmann and Hambrick is the only one I know of that reaches this conclusion. Until their results are replicated, we ought to be interested in, but not obsessed by, their findings.

Second, we should note that relative expertise does have occasional disadvantages. We shouldn’t assume that our accomplished students won’t be fuddled by a classroom interruption–in fact, they might be more so than their still-struggling peers.

Third, I for one will be on the lookout for this pattern in my own work. In theory at least, I’m the expert in my classroom, and so I might be more discombobulated than my students by a distraction during a rote task.

Given this research, I now know to turn to my least confident students for a reminder of where were were.