Skip to main content
An Extra Half-Hour of Sleep? An Extra Hour?
Andrew Watson
Andrew Watson

AdobeStock_80298747_Credit

If you’ve ever met a teenager, you might be skeptical about the idea of starting high-school classes later. After all, you might worry that they’ll just stay up later. They are, after all, teenagers…

What does research on high school start time say?

According to a recent study done by Penn State researchers, you needn’t worry. Later high-school start times do in fact translate into more sleep.

Specifically: students whose first class started later than 8:30 got between 27 and 57 (!) more minutes of sleep. Imagine just how much more learning might happen if a teen regularly got an extra hour of sleep.

The researchers based these conclusions on sleep diaries that lasted only a week; I’d be more persuaded if they had data from a longer period of time.

However, this finding does echo a conclusion that I reported on back in April. Given these converging data–and, frankly, common sense–I’m inclined to believe that later start times really do help students get more sleep.

Enhance Memory by Saying Important Words Aloud
Andrew Watson
Andrew Watson

Reading Words Out Loud Enhances Memory

You’d like to remember a list of words better? Here’s a simple trick: say them aloud to yourself.

According to recent research by Forrin and MacLeod, the benefits of both reading and  saying words out loud are greater than either reading or saying the words.

When going over flashcards of essential chemistry terms — for example — students might say the definitions as they review them. This strategy should help them learn those definitions better.

Practical limitations of saying words aloud

As I think about the teaching implications of this research, I don’t think we should encourage students to read everything aloud. (Except, of course, students who are learning to read.)

Instead, we should suggest this technique as a study supplement for a few key concepts: the definitions or formulas that we most want them to learn.

This strategy takes little time and costs nothing. In other words, it’s perfect for the world of education.

 

Frequency and Memory: Essential Brain Wave Boost
Andrew Watson
Andrew Watson

Brain wave frequency

Earlier this month, I linked to a study showing that declarative and procedural memories correspond with different brain-wave frequencies.

This week: another study making a similar point. Researchers have found that frontal, temporal, and medial temporal lobes align neural activity at lower frequencies as new memories are formed. (At higher frequencies, neural alignment is weaker.)

Networks and Brain Waves

As lead author Ethan Solomon says,

This suggests that, for someone to form new memories, two functions must happen simultaneously: brain regions must individually process a stimulus, and then those regions must communicate with each other at low frequencies.

I suspect that over the next few years, our understanding of long-term memory formation will move in this direction. That is, we will increasingly combine the study of synapse formation between neurons with the study of frequency alignment among brain regions.

That account will doubtless be more complex. But: if it’s more accurate, that complexity will ultimately be more helpful to us all.

Looking Forward to 2nd Grade

When I was in grad school, Kurt Fischer often said “when it comes to understanding brains, we’re still in first grade.”

He meant that the brain is just so complicated, we have only just begun to understand it.

For teachers interested in neuroscience, this truth has a powerful consequence. Much of what we learn about the brain today will be understood differently next year. It might be quaint in ten years.

 

Mindset, Gender, and Intelligence: Confusing Myth or Painful Truth
Andrew Watson
Andrew Watson

AdobeStock_54087355_Credit

You doubtless know that Mindset Theory has been increasingly doubted–and increasingly defended–in the last two years or so.

(In this post, for example, the author updates his earlier criticism of Mindset Theory and largely ends up defending Dweck–or, at least, criticizing her critic. His back-n-forth on this question helpfully represents the nature of the current debate.)

Today’s News

A recently published study looks carefully at a specific set of claims often advanced in Mindset world:

First: that girls and women have a fixed mindset more often than boys and men, and

Second: the smarter the girls and women, the likelier they are to have fixed mindsets.

In other words, for Mindset

First: gender matters, and

Second: for girls and women, intelligence matters.

What Did The Researchers Find?

Nope, and nope.

In their research, which included not only college students but also adults in the population at large, Macnamara and Rupani found no consistent patterns in either direction.

That is: in their research, there was no consistent gender split on Mindset. And, for men as well as women, intelligence level didn’t consistently influence Mindset; nor did a Growth Mindset predict academic accomplishment.

In truth, as you’ll see if you look at the graphs, they got quite a complex muddle of results. It’s genuinely difficult to pick out meaningful patterns in all their data.

What Next?

In my experience, Dweck tends to be quite open and responsive to thoughtful critique. Unlike some researchers who refuse to recognize those who disagree with their work, she is remarkably comfortable acknowledging debate and rethinking her own research.

So: I’ll be curious to see if and how she responds to this study.

There is, by the way, a broader message here as well. Although Mindset Theory is quite well established in the field of education, it is still up for discussion in the field of psychology.

Those of us who shape our classrooms and our schools with such theories in mind should be sure to check back in and see if they are holding up over time.

 

The Neuroscience of Morality
Andrew Watson
Andrew Watson

AdobeStock_164544380_Credit

How do brains encode moral impulses?

As you can imagine, that’s an extraordinarily difficult question–in part because definitions of morality can be tricky in the first place.

In this study, researchers study the neural underpinnings of moral decisions–particularly decisions not to harm other people. The findings are quite complicated–lots of talk about the lateral pre-frontal cortex–but a fascinating glimpse into our moral/neural selves.

Intentional Innovation: How to Guide Risk-Taking, Build Creative Capacity, and Lead Change by A.J. Juliani
Rebecca Gotlieb
Rebecca Gotlieb

Juliania BookHow can educators prepare students for an uncertain future? A.J. Juliani, a former middle and high school teacher, education consultant, author, and the current director of technology and innovation for Centennial School District, tackles this question by offering practical and digestible advice to help educators implement innovative practices and support their students in becoming innovators. Intentional Innovation: How to Guide Risk-Taking, Build Creative Capacity, and Lead Change argues that we can create innovative classrooms and prepare students for tomorrow by understanding how they learn, while valuing relationships first and foremost, creating student-center learning environments, providing opportunities to create, fostering a safe space to take risks and fail, and recognizing that any person with passion can be an innovator. Juliani suggests that the acronym PLASMA—Praise, Look for, Assess, Support differences, Make time for creative work, and Allow for the new and unknown—is a useful self-assessment, planning, and observation tool to bring about innovation.

Learning, Juliani states, is a process of experimentation. We need to constantly learn, unlearn, and relearn information, especially given the current rapid pace at which information develops. Interest and necessity motivate people to learn. Attention to the to-be-learned material allows for it to be properly encoded, stored in memory, and ultimately retrieved.

Equipped with an understanding of how people learn, it is possible to understand how to support them in innovating. Some of the steps educators can take to help students become more innovative include: modeling how to learn, providing opportunities for collaboration and relationship building, embracing technology, measuring learning in creative ways, making classrooms enjoyable, and propagating the idea that we can all be innovators, especially if we focus greater energy on creating. Juliani allows his students to try their hand at innovating by using the “20% rule.” The students spend 20% of their class time pursuing an innovative project of their choice. He supports them in their work but gives them tremendous freedom. Juliani offers other ways to spur innovation, such as creating opportunities for students to learn outside of school in the community, encouraging students to teach what they know (e.g., through YouTube tutorial videos), giving students a voice in the assessment process, and having students debate one another.

Students are more likely to demonstrate creativity when they feel supported, understand the importance of effort, develop productive habits, are allowed to follow their own interests, and can engage in authentic work. Educators should bear in mind that allowing for creativity in students will take time and can feel slower than directing students more explicitly. Juliani refers to Jessica Lahey’s The Gift of Failure (reviewed here at Learning and the Brain) to remind educators that students learn and develop self-control and creative abilities when they are allowed to fail and pick themselves back up. This is especially true in a culture in which failure is not embarrassing but rather a sign of learning.

A book about innovation in education would not be complete without a discussion of technology. Juliani argues that although few modern technologies were specifically designed for education and none has proven to be an elixir for improving education, technology has changed the experience of students and teachers in many ways. We no longer need to store vast amounts of information to be considered intelligent; rather, what is most important, according to Juliani, is to be able to find and create with information. Educators should use technologies like social media platforms to engage students in the arenas in which they are already engaged. While technology inevitably changes what happens in education, the key ingredient—supportive relationships—will always remain the same. Teachers should challenge students, provide opportunities for inquiry, solve problems collaboratively, and get to know students personally. Similarly, teachers can improve their own practice by cultivating strong relations with other teachers.

Innovative educational practices and support of students in developing skills as innovators are both valuable and necessary components of education. As educators innovate, it is incumbent upon them to remember that innovation is not primarily about novelty; it is about service to others and impact upon them. Indeed, Juliani has demonstrated his innovativeness with this book that is likely to spur many ideas for educators about how to innovate.

 

Juliani, A. J. (2017). Intentional Innovation: How to Guide Risk-Taking, Build Creative Capacity, and Lead Change. New York, NY: Routledge.

 

Diagnosing ADHD with MRI
Andrew Watson
Andrew Watson

AdobeStock_58318021_Credit

How do we know if a student has ADHD?

Typically, we observe behavior.

To what degree is the student inattentive? (That’s one kind of ADHD.) To what degree is s/he hyperactive? (That’s another type.) Perhaps the student demonstrates both kinds of behavior.

If these behaviors last long enough, and cause enough distress to be “clinically significant,” we can then make a diagnosis.

What would happen, however, if instead of looking at behavior, we could look at the student’s brain? Could a brain scan ever replace a behavioral study to make a diagnosis?

The Future Might Be Now

A just-published study starts us down this road.

By scanning the brains of 33 just-diagnosed/never treated students, and comparing them to the brains of 87 control subjects, researchers identified three brain areas substantially correlated with two subtypes of ADHD: inattentive, and combined inattentive/hyperactive.

(For the neurally curious, those three areas are the left temporal lobe, the bilateral cuneus, and regions around the left central sulcus.)

If the future is now, we might conclude that we can use MRI imaging to diagnose students, without having to observe their behavior.

The Future Might Be a Long Way Off

Despite all this exciting news, we have many reasons not to rush toward neuro-diagnosis of ADHD just yet.

First: the scans correctly distinguished between those who DO and those who DON’T have ADHD 75% of the time. That might sound impressive…unless you’re one of the 25% of cases where they got it wrong.

Second: the scans distinguished between Inattentive-type ADHD and Inattentive/Hyperactive-type ADHD 80% of the time. So, again, 1 in 5 of the participants would have been mis-diagnosed.

Third: the study didn’t include any students with purely Hyperactive-type ADHD. That’s a big gap in the diagnostic ability of MRI. (The authors explain that there is a low prevalence of this subtype in their research pool.)

Fourth: in a switch to cross-cultural perspectives, we must notice that different countries and cultures define “appropriate behavior” differently. Behavior that seems “clinically significantly” hyperactive or inattentive in one culture might be entirely appropriate in another. For this reason, the fact that this research was done in China means we must be very thoughtful about applying its conclusions to students from a non-Chinese cultural context.

(To be very clear on this point: I’m NOT saying that Chinese researchers can’t produce meaningful findings, or that ADHD doesn’t matter in China, or anything like that. I AM saying that cultures define “appropriate behaviors” differently, and so when behavior becomes diagnosable, we must be careful about cross-cultural applications. And we must be especially careful when looking for differences in neural structures that underlie those behaviors.)

Fifth: Chinese psychologists use a somewhat different set of terms in describing ADHD than do American psychologists.  They are, quite possibly, looking for neural correlates of meaningfully different behavior than we would for a Diagnostic and Statistical Manual diagnosis of ADHD.

Sixth: changing perspectives once again, we should note that MRI scans are crashingly expensive. If we’re going to start diagnosing students this way, we need to have thoughtful discussions about the services we’ll stop providing in order to make these funds available.

A Balanced Perspective

With this daunting list of reasons to pause, I don’t mean to dismiss the importance of this research.

Instead, I want to be sure that we look at in with an appropriate balance of enthusiasm and caution.

Enthusiastically, I can say that the future possibility of MRI diagnoses of ADHD could be very helpful.

For one thing, when people recognize that there are consistent and meaningful differences in neural structures, they might be less likely to say “Well, the kid just needs to try harder to pay attention.”

Cautiously, I can say that these helpful possibilities are a long way in the future, and we should not let our enthusiasm prompt us to embrace them before they’re ready for effective, culturally appropriate, and affordable use.

Highlighting Retrieval Practice
Andrew Watson
Andrew Watson

AdobeStock_68766625_Credit

The Effortful Educator describes his fun system for using highlighters during retrieval practice. He teaches AP Psychology in high school, but I suspect this system could be easily used with younger students as well.

EE’s lesson plan stands out for two reasons.

First: it’s a great example of retrieval practice — asking students to pull information out of their brains rather than trying to put more information in.

Second: it’s a great example of translation. EE knows the research about retrieval practice–he’s a psychology teacher after all. In this case, he’s gone well beyond simply replicating methods used by psychology teachers. Instead, he’s thought carefully about the uses of that idea in his particular context, and he’s translated the research to make it work for his students.

In other words: you might emulate the Effortful Educator’s specific strategy of using different colored highlighters. You should emulate his general strategy of adapting psychology to your classroom, your students, and your own approaches to teaching.

God on the Brain
Andrew Watson
Andrew Watson

AdobeStock_157280006_Credit

What’s happening in your brain when you contemplate religious experience?

Over at Brainblogger, Viatcheslav Wlassoff contemplates the tricky subject of neurotheology.

Advice for College Students
Andrew Watson
Andrew Watson

AdobeStock_125116512_Credit

This brief (and admirably clear) article offers guidance to college students on the study strategies that have research support — and, helpfully, those that don’t.

The authors offer a few sources to verify their claims, explain why some counter-intuitive strategies work better that more traditional ones, and even toss in a few un-researched but entirely plausible suggestions.

(One minor disagreement: the authors cite the Mueller & Oppenheimer study to discourage laptop note-taking. Regular readers of the blog know I think that study doesn’t support its own conclusions.)