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“We Can No Longer Ignore Evidence about Human Development”
Andrew Watson
Andrew Watson

The more teachers learn about neuroscience and psychology, the more we admire Dr. Mary Helen Immordino-Yang.

Unlike most researchers, she has spent time as a classroom teacher.

And, her extensive research—in both neuroscience and psychology—offers us wise perspectives on our craft.

For instance, she has zealously emphasized the inextricable connection between emotion and cognition—although we live in a society that wants to keep the two apart. As she has shown in her books and articles, we can’t think deeply about thinking without understanding the importance of feelings.

Thinking and feeling aren’t two different things. They’re names for distinct perspectives on the same thing.

(You can check out her essay in Mind, Brain, & Education: Neuroscience Implications for the Classroom, edited by David Sousa.)

More recently, working with Linda Darling-Hammond and Christina Krone, Dr. Immordino-Yang has published a lucid and practical summary of our field. In 20 jargon-free pages, she makes a strong case for focusing on development as an essential variable in schools and in learning.

You can download The Brain Basis for Integrated Social, Emotional, and Academic Development here.

That’s a mouthful of a title. But it synthesizes an impressive range of complex and vital topics: age-appropriate teaching strategies, neural development across the lifespan, epigenetics, even cultural well-being.

As an introduction to The Brain Basis, I interviewed Dr. Immordino-Yang. This transcript is edited for clarity and brevity.


Andrew:

You’ve packed a lot of information into this document. What’s your goal in putting it all together this way?

Mary Helen:

I wanted to tell a story about what it means to be a human being.

From there I thought we could think back to retrofit what are we doing in schools to support the development of our full humanity.

And so I aimed to tell a story of many fields—of biological, genetic, developmental, and cognitive research that would help people understand why human development and learning are so closely tied together.

Schools really can no longer ignore the new evidence about human development in thinking about our aims and our strategies in educational environments.

Andrew:

A big chunk of this brief talks about different developmental stages, and the appropriate educational strategies to use during each one.

Where you get the most pushback? What are people most surprised about?

Mary Helen:

One of the things that people have been very surprised about, and where I get a lot of pushback, is in adolescence. I talk about adolescence being a fundamental time of plasticity—but also of vulnerability.

And this means that teenagers really need deeply supported opportunities to explore alternate identities: scholarly ways of thinking and being, social ways of thinking and being.

This is a time when kids can develop very deep interests, and connect those interests to their world—how it is now, how it has been in the past, and how it could be different in the future– like they never have been able to do before to the same extent.

Schooling needs to capitalize on that. Yet we really do not in the way that standard schools are designed. In fact we directly undermine that kind of agency, that kind of exploration of self and ideas that’s just fundamental to adolescence.

Andrew:

In schools, I’m guessing that would mean more electives, fewer requirements. You’d like more open-ended, freeform opportunities for high school students?

Mary Helen:

Well, yes. But all that in the context of very strategic support and close relationships, in addition to intellectual and social opportunities to really get invested in important work: more like an apprenticeship model of schooling in adolescence, as compared to a didactic transfer model.

There are schools doing this extremely well. They tend to be schools built for kids one step away from failing out of society, though.

For example: The New York Performance Consortium Schools got special dispensations to not have standardized testing. Instead they do performance-based portfolio work as a graduation requirement.

These students were mostly at risk of failing [in their prior schools]. And then lo and behold, when you redesign their educational experience so it’s more of this apprenticeship model—students focus on broad, relevant problems—they begin to think in scholarly ways. They develop deep understanding and explore innovative solutions.

These kids go on to college at far higher rates. They’re graduating college. They’re just ever so much more engaged than their peers.

We’ve got this misunderstanding that when kids are doing poorly and flailing around, you want to double down on discipline. You want to straighten them out and get them on the straight and narrow. Control them first, and then you can teach them.

In fact what you need to do is offer them opportunities to really utilize the energy that they have, and to question and rethink their ideals, to build their deep desire for inventing themselves. And give them a creative, scholarly, structured outlet in which to productively explore that.

Andrew:

And, as you say, that makes a lot of developmental sense.

Let’s change gears. This document talks about three essential brain networks: the Executive Control Network, the Default Mode, and the Salience Network.

This is essentially a neuroscientific way of thinking about learning.

Another approach is the psychological approach: let’s think about motivation, let’s think about attention, let’s think about working memory.

When you talk with teachers about this neuroscientific approach, does it deepen their understanding of the psychological framework? Does it conflict with it? Does it confuse it?

Mary Helen:

I think it really does [deepen their understanding]. I hope it does. My aim was to teach educators about the dominant models of brain development right now.

There are hundreds and hundreds of studies demonstrating how these networks work. And those networks had really not been explained to educators to this point.

What you notice about them is: none of them is emotional or cognitive. These networks are both [emotional and cognitive] all the time. No one of them is the social network. They all have a role to play in sociality.

Andrew:

In the past you’ve written that there’s relatively little neuroscience that teachers need to know. So this approach is quite a change for you.

Mary Helen:

Well, not really. What I really think people do need to know is about human development. And one of the sources of evidence is neural development.

Understanding the basic functionality of the [neural] system is important for supporting the development of the person.

And don’t get me wrong: in some of the best schools in the world the teachers don’t know diddly squat about brain development.

But they really, really understand what their aim is for their students. They know in a deep way about the kinds of thinking and relating and reflection that they want their students to be capable of.

And in that case you don’t need the neuroscience anymore.

I think we need it in the United States because we have such a faulty model of how learners learn, and what to do when they’re not doing as well as we would like.

I’ve written several papers about the default mode network for example. We in education are potentially undermining the development of deep thinking, deep understanding, deep integration of content because of our overly task-oriented focus.

We shift people into an outwardly directed task-oriented state too much at the expense of reflection and synthesis that happens internally in a narrative constructive process.

Andrew:

So much of our vision of good teaching is a kind of a performance. It’s external, it’s what the students are doing.

Mary Helen:

That’s right. It’s about what you do, it’s not about how you think. And good thinking takes time. It takes skills for reflecting. Those skills are often neglected in our schools.

We have this kind of “frantic productivity model” which is basically a lie about what meaningful accomplishments students are actually accomplishing.

Andrew:

The “frantic productivity model” sounds a lot like schools where I’ve worked.

American education has been battling between constructivism—“inquiry-based” and “project-based learning”—on the one hand, and direct instruction on the other.

Your brief is calling for a truce. You say that these approaches can work well together, and we’re looking for a wise balance.

My question is: as a teacher how do I know when I’ve gotten that balance right? What does that feel like? What does it look like?

Mary Helen:

Yeah, great question.

So here’s the thing: this is where the teaching skill comes in.

And what skill do you need to have? What teaching artistry do you need to have? You need to deeply understand your students, and deeply understand your aim for them.

What’s your intent in the lesson?

Too much of what we do in education is designed around an outcome—a “learning outcome.”

Instead, it should be designed around this question: what are the kinds of mental capacities and habits of minds that students will be practicing?

To balance constructivism with direct instruction, think about the how much more than the endpoint. And then the answer will look really different in different contexts: different kids, different content, different supports and scaffolds, at different times.


At this point, our conversation turned to a description of a specific school focusing exactly on these complex questions and difficult choices.

That discussion was so interesting that it deserves its own blog post. I’ll have that live for you within the month.

Why Do Choices Interfere with Your Learning?
Andrew Watson
Andrew Watson

Perhaps you’ve heard of the famous experiment.

If you give shoppers many jam choices to sample, they’re delighted to taste your wares. But, if you give them fewer choices, they’re more likely to — ahem — buy some jam.

choices harm learning

In other words: choices both motivate and demotive in a complex pattern.

What effect might this finding have on education?

Choices Overwhelm Brains? Choices Harm Learning?

In a recent study, Elena Reutskaja and colleagues explored the neural basis of this intriguing finding.

They gave study participants choices about the image to be printed on a tee-shirt or mug. Crucially, some got a few choices: 6. Others got more choices: 12. And others got A LOT more: 24.

What happened in participants’ brains?

The short version: two crucial brain regions behaved differently with 12 choices.

The anterior cingulate cortex (ACC) and the striatum showed more activity when given a manageable number of choices than when they had too many or too few.

By the way: the prefrontal cortex showed a similar pattern, but to a smaller degree.

(Important wonky caveat: more brain activity ISN’T always better. In this case, more activity in these regions coincided with self-reports of greater pleasure.

In other cases — say, dyslexia — more brain activity coincides with lots of reading difficulty.)

These results mean that we’ve got two reasons to think too many choices are bad.

Firstbehaviorally, people react badly with too many choices. (If you try to navigate the toothpaste section of your local CVS, you know what I mean.)

Secondneurobiologically, brains react badly with too many choices.

In other words, those people running the behavior experiments weren’t making things up or misreading the data. Instead, they identified real problems.

Teaching Implications

We might reasonably start with the presumption that choices enhance learning. The more that our students get to choose what they’re doing, the more intrinsically motivated they will be.

However, as we see more and more studies like this one we realize that — just possibly — choices harm learning. Faced with more options than they can readily process, students feel their ACC shut down.

The result: not more learning and motivation, but less.

What, then, is the perfect number of choices?

One answer is: the authors suggest between 8 and 15.

A much better answer: honestly, research really can’t answer that question.

In the first place, they’re currently doing research with consumers getting choices to buy stuff. That’s not the situation our students are in.

In the second place, this research pool works with adults. Almost certainly, younger students can manage fewer choices than older students — who manage fewer than adults.

In the third place, the “choices” that students make vary in complexity. If I have to define 5 of 6 vocabulary words, that’s a straightforward process.

If, however, I have to solve 5 of 6 calculus problems, then I’m likely to start the early steps of solving each one to test out their trickiness.

In this case, I’ve got A LOT more info rattling around in working memory, even thought the number of choices has remained the same.

In other words, the correct number varies from case to case to case. As is so often true, you — the classroom teacher — will have the best vantage point from which to suss out the answer.

 

Choosing a Knowledge-Rich Curriculum: Pros and Cons
Andrew Watson
Andrew Watson

Should our curriculum focus on knowledge or skills?

Jon Brunskill debates this question with himself in this thoughtful post.

Brunskill does offer a strong conclusion in this debate. But just as important: the way he frames the discussion.

Following Rapoport’s Rules to Promote Civil Discourse (which I haven’t heard of before), Brunskill sets himself several tasks.

First, he summarizes the opposite belief as accurately and fairly as he can. (The goal, according to Daniel Dennett, is that the other person say “Thanks, I wish I’d thought of putting it that way.”)

Second, he notes his points of agreement with that position, and (third) what he has learned while thinking about it.

Only then, fourthdoes he get to express his disagreement, and advocate for a distinct point of view.

(By the way: you haven’t accidentally skipped a paragraph. I’ve deliberately not said what his conclusion is, because I want to focus on his methodology.)

The Takeaway

You might agree with Brunskill’s conclusion. Or, you might emphatically disagree with it.

If the latter, great news! You have an opportunity to follow his example.

How might you summarize his position as fairly as possible?

What do you agree with?

What did you learn?

Once you’ve answered those questions, then your rebuttal will be more persuasive, and more beneficial to the debate. I suspect it will also be more beneficial to you.

Ask a Simple Question, Get an Oversimplified Answer
Andrew Watson
Andrew Watson

handwritten notes

If learners were widgets, then educational research would be simple. The same teaching technique would work (or not work) equally well for all students.

It would also help if all teachers were widgets. And, if we all taught the same topic the same way.

We could ask simple research questions, get uncomplicated answers, and be ENTIRELY CERTAIN we were doing it right.

A Sample Case: Handwritten Notes

For example, if all students were identical, then we could know for sure the best way to take notes in class.

(It would help if teachers all taught the same way too.)

Are handwritten notes better than laptop notes? Vice versa? The study design couldn’t be simpler.

Mueller and Oppenheimer famously argue that “the pen is mightier than the keyboard.” (I’ve argued strenuously that their research does not support this claim, and probably contradicts it.)

But what if the question just can’t be answered that simply?

What if students do different things with their notes?

What if the classes in which they take notes are different?

Really, what then?

Mixing It Up

Linlin Luo and colleagues explore these questions in a recent study.

Happily, they start from the assumption that students use notes in different ways. And, that professors’ lectures include important differences.

For example: some students take notes, but don’t review them. (They probably should…but, there are LOTS of things that students probably should do. For instance, attend lectures.)

Others students do review the notes they take.

Some lectures include lots of visuals. Others don’t include many.

Once we start asking more complicated questions … that is, more realistic questions … we start getting more interesting answers.

More Interesting Answers

What did Luo and colleagues find? Unsurprisingly, they found a complex series of answers.

First: students who didn’t review their notes before a quiz did better using a laptop.

Second: students who did review their notes did better taking handwritten notes.

Third: in both cases, the differences weren’t statistically significant. That’s a fancy way of saying: we can’t say for sure that the laptop/handwriting distinction really mattered.

Fourth: unsurprisingly, students who took handwritten notes did better recording visuals than did laptop users. (Students who took laptop notes basically didn’t bother with visuals.)

Advice to Teachers and Students

What advice can we infer from this study? (And: from its analysis of previous studies?)

A: teachers can give students plausible guidance. “If you really will study these notes later, then you should take them by hand. But, if you really won’t, then use a laptop.”

B: teachers who present a lot of visuals should encourage handwritten notes. Or, make copies of those visuals available.

C: given that the differences weren’t statistically significant, we might encourage students to use the medium in which they’re more comfortable. If they (like me) have dreadful handwriting, then maybe they should use a laptop no matter what.

D: I continue to think — based on the Mueller and Oppenheimer study — that we should train students to take notes in a particular way. If they both use laptops AND reword the teachers ideas (rather than copying them verbatim), that combination should yield the most learning.

Most importantly, we should let this study remind us: simple answers are oversimplified answers.

If you’d like to meet two of the researchers who worked on this study, check out this video:

https://www.youtube.com/watch?v=BfCZ0K0HoJE

 

 

 

Evaluating the Best Classroom Practices for Teaching Math
Andrew Watson
Andrew Watson

What strategies work best for math teaching?

math teaching

And, crucially, how do we know?

To answer this question, we might rely on our teacherly instincts. Perhaps we might rely on various educational and scientific theories. Or, we might turn to data. Even big data.

Researchers in Sweden wondered if they could use the TIMSS test to answer this question.

(“TIMSS” stands for “Trends in International Mathematics and Science Study,” given every four years. In 2015, 57 countries participated, and 580,000 students. That’s A LOT of students, and a lot of data.)

3 Math Teaching Strategies

When students take these tests, they answer questions about their classroom experience.

In particular, they answer questions about 3 math teaching strategies. They are asked how often they…

Listen to the teacher give a lecture-style presentation.

Relate what they are learning in mathematics to they daily lives.

Memorize formulas and procedures.

Researchers want to know: do any of these teaching practices correlate with higher or lower TIMSS scores? In other words, can all these data help us evaluate the effectiveness of specific teaching practices?

2 Math Teaching Theories

Helpfully, the researchers outline theories why each of these practices might be good or bad.

As they summarize recent decades of math-teaching debate, they explain that “researchers with their roots in psychology and cognitive science” champion

formal mathematical notions,

explicit instruction where teachers show students how to solve math problems,

practicing and memorizing rules and worked examples.

On the other hand, “researchers with their roots in the reform movement” champion

connecting math to students’ daily lives,

a problem-solving approach,

understanding ideas and connections, rather than memorization.

Doubtless you’ve heard many heated debates championing both positions.

Predictions and Outcomes

These theories lead to clear predictions about TIMSS questions.

A cognitive science perspective predicts that “lecture-style presentations” and “memorizing formulas” should lead to higher TIMSS scores.

A reform-movement perspective predicts that “relating math to daily life” should lead to higher scores.

What did the data analysis show?

In fact, the cognitive science predictions came true, and the reform predictions did not.

In other words: students who listened to presentations of math information, and who memorized formulas did better on the test.

Likewise, students who applied math learning to daily life learned less.

An Essential Caveat

As these researchers repeatedly caution, their data show CORRELATION not causation.

It’s possible, for instance, that teachers whose students struggle with math resort to “daily life” strategies. Or that both variables are caused by a third.

Potential Explanations

“Connecting new math learning to real life situations” seems like such a plausible suggestion. Why doesn’t it help students learn?

These researchers offer two suggestions.

First, every math teaching strategy takes time. If direct instruction is highly effective, then anything that subtracts time from it will be less effective. In other words: perhaps this strategy isn’t harmful; it’s just less effective than the others.

Second, perhaps thinking about real-life examples limits transfer. If I use a formula to calculate the area of a table, I might initially think of it as a formula about tables. This fixed notion might make it harder for me to transfer my new knowledge to — say — rugby fields or floor plans.

At present, we can’t know for sure.

A final point. Although this research suggests that direct instruction helps students learn math, we should remember that bad direct instruction is still bad.

Lectures can be helpful, or they can be deadly tedious.

Students can memorize pertinent and useful information. Or, they can memorize absurd loads of information.

(A student recently told me she’d been required to memorize information about 60 chemical elements. Every science teacher I’ve spoken with since has told me that’s ridiculous.)

And so: if this research persuades to you adopt a direct-instruction approach, don’t stop there. We need to pick the right pedagogical strategy. And, we need to execute it well.

Cognitive science can help us do so..

Can Quiet Cognitive Breaks Help You Learn?
Andrew Watson
Andrew Watson

We write a lot on the blog about “desirable difficulties” (for example, here and here). Extra cognitive work during early learning makes memories more robust.

cognitive breaks

Retrieval practice takes more brain power than simple review — that is, it’s harder. But, it helps students remember much more.

Wouldn’t it be great if some easy things helped too?

How about: doing nothing at all?

Cognitive Breaks: The Theory

When a memory begins to form, several thousand neurons begin connecting together. The synapses linking them get stronger.

Everything we do to help strengthen those synapses, by definition, helps us remember.

We know that sleep really helps in this process. In fact, researchers can see various brain regions working together during sleep. It seems that they’re “rehearsing” those memories.

If sleep allows the brain to rehearse, then perhaps a short cognitive break would produce the same result.

Cognitive Breaks: The Research

Michaela Dewar and colleagues have been looking into this question.

They had study participants listen to two stories. After one story, participants had to do a distracting mental task. (They compared pictures for subtle differences.)

After the other, they “rest[ed] quietly with their eyes closed in the darkened testing room for ten minutes.”

Sure enough, a week later, the quiet rest led to better memory. As a rough calculation, they remember 10% more than without the quiet rest.

10% more learning with essentially 0% extra cognitive effort: that’s an impressive accomplishment!

Classroom Questions

A finding like this raises LOTS of practical questions.

Dewar’s study didn’t focus on K-12 learners. (In fact, in this study, the average age was over 70.) Do these findings apply to our students?

Does this technique work for information other than stories? For instance: mathematical procedures? Dance steps? Vocabulary definitions?

Does this finding explain the benefits of mindfulness? That is: perhaps students can get these memory benefits without specific mindfulness techniques. (To be clear: some mindfulness researchers claim benefits above and beyond memory formation.)

Can this finding work as a classroom technique? Can we really stop in the middle of class, turn out the lights, tell students to “rest quietly for 10 minutes,” and have them remember more?

Would they instead remember more if we tried a fun fill-in-the-blank review exercise?

I’ll be looking into this research pool, and getting back to you with the answers I find.

Cognitive Breaks: The Neuroscience

If you’d like to understand the brain details of this research even further, check out the video at this website. (Scroll down just a bit.) [Edit 11/4/19: This link no longer works; alas, I can’t find the video.]

The researchers explain a lot of science very quickly, so you’ll want to get settled before you watch. But: it covers this exact question with precision and clarity.

(By the way: you’ll hear the researchers talk about “consolidation.” That’s the process of a memory getting stronger.)

If you do watch the video, you might consider resting quietly after you do. No need to strain yourself: just let your mind wander…

hat tip: Michael Wirtz

How to Stop Cheating: An Awkward Debate
Andrew Watson
Andrew Watson

We would, of course, LOVE to prevent cheating.

prevent cheatingIt does moral damage to the cheater. It undermines classroom trust. And: it makes it hard for us to know how much our students are actually learning.

So: what techniques might help us do so?

How To Prevent Cheating: “Moral Reminders”

For some time now, Dan Ariely has made this his field. (Check out his book:  The (Honest) Truth about Dishonesty: How We Lie to Everyone — Especially Ourselves.)

Over the years, he developed a clever research paradigm to see how much people cheat. With that in place, he tested various strategies to prevent cheating.

(He can also promote cheating, but that’s not exactly what we’re looking for.)

One strategy that has gotten a lot of attention over the years: moral reminders.

Ariely asked some students to write down ten books they had read in high school. He asked the others to write down the 10 Commandments.

That is: he made them think about foundational moral standards in our culture.

Sure enough, once reminded about moral standards, students cheated less. (The Cohen’s d was 0.48, which is an impressive effect for such an easy intervention.)

Then Again, Maybe Not

In a study published just a month ago, Bruno Verschuere (and many others) retested Ariely’s hypothesis. Whereas the original study included 209 students, this meta-analysis included almost 4700. That is … [checks math] … more than 20 times as many students.

Studying much more data, they found that “moral reminders” made no difference.

(In fact, they found that students who recalled the 10 commandments were just a smidge likelier to cheat; but, the difference was tiny — not even approaching statistical significance.)

As we’ve seen in other cases of the “replication crisis,” seemingly settled results are back in question.

What’s a Teacher to Do?

Of course, Ariely had other suggestions as well. Signing  pledges not to cheat reduces cheating.  And, of course, teachers who supervise students closely reduce their opportunities to cheat.

As far as I know, these strategies have not been retested (although the second one seems too obvious to need much retesting).

For the time being, sadly, we should rely less on indirect moral reminders, and more on direct pledges — and direct supervision.

Using and Misusing Averages: The Benefits of Music?
Andrew Watson
Andrew Watson

The “10 Minute Rule” tells us that people can’t pay attention to something for longer than ten minutes.

As teachers, therefore, we shouldn’t do any one thing for longer than ten minutes. We need to mix it up a bit.

There’s an obvious problem here. The “rule” assumes that all people think alike — that one number is correct for all students in all situations.

That’s a bizarre assumption. It’s also wildly untrue.

(In fact, the “rule” itself has a weird history. )

The Bigger Picture: When teachers convert averages into absolutes — like, say, the 10 minute rule — we’re likely to miss out on the distinct needs of our particular students.

Today’s Example

Should students listen to music when they study or read?

If we go by averages, the answer is: no! We’ve got data to prove it. We’ve even got meta-analyses.

And yet, as Daniel Willingham argues, we should be aware of the variety in the data:

While mean of the grand distribution may show a small hit to comprehension when background music plays, it’s NOT the case that every child reads a little worse with background music on.

He’s got a specific example in mind:

Some of my students say they like music playing in the background because it makes them less anxious. It could be that a laboratory situation (with no stakes) means these students aren’t anxious (and hence show little cost when the music is off) but would have a harder time reading without music when they are studying.

In other words: psychology research can be immensely helpful. It can produce useful — even inspiring — guidance.

At the same time: when we work with our own students, we should always keep their individual circumstances in mind.

If this student right here needs music to stay focused and relaxed, then data on “the average student” just isn’t the right guide.

 

Does Hands-On Learning Benefit Science Students?
Andrew Watson
Andrew Watson

Phrases like “inquiry learning” or “project-based learning” inspire both enthusiasm and skepticism.

hands-on learning

In part, the difference of opinion results from a very basic problem: it’s hard to define either term precisely. What, exactly, are the essential elements of inquiry learning?

If we can’t even answer that question, it will be jolly hard for researchers to know if the method “really works.”

Questions without Answers; Hands-On Learning

A study published earlier this year focuses on two key elements of inquiry learning.

First: teachers should let students investigate a scientific phenomenon without telling them what they’ll find. It’s called inquiry learning because teachers withhold the correct answers.

Second: teachers should encourage hands-on learning. As much as possible, students should do the work themselves, not watch the teacher do it.

If you approach education with a constructivist lens, you’re likely to favor both approaches. Students who make sense of ideas on their own — with their own thoughts and their own hands, without too much teacher guidance — are likeliest to think deeply about concepts.

If instead you start with cognitive load theory, you’re likely to worry about these practices. Students have relatively little working memory with which to process new ideas. The absence of teacher guidance, and the need to manipulate physical objects might well overwhelm precious cognitive resources.

What They Did; What They Found

Researchers taught 4th and 5th graders about converting potential energy to kinetic energy. They used balls rolling down ramps of different heights to illustrate these concepts.

In one case, a teacher told the students what to expect: the higher the ramp, the farther the ball will roll. The students then watched the teacher do the experiment. (That is: “direct instruction.”)

In another, the teacher told students what to expect, but let them roll balls down the ramps.

In the third case, the teacher didn’t tell students what to expect, and let them do the experiment. (That is: “inquiry learning.”)

So: which combination of inquiry techniques yielded the most learning?

Direct instruction did. By a fair peg. (Cohen’s d was 0.59: not huge, but certainly respectable.)

In fact, in this paradigm, “inquiry learning” was the least effective at helping students take these concepts on board.

(To be complete: direct instruction helped students a) remember what they learned and b) reason with that new knowledge. On a third measure–applying this new knowledge to real world situations–both approaches worked equally well.)

At least in this one research paradigm, working memory limitations made constructivist pedagogy too difficult.

On The Other Hand…

When I first planned this post, I was excited to contrast Zhang’s study with a dramatic report from Washington State.

According to this report — here’s a one-page summary — 9th- and 10th-grade students who followed a constructivist inquiry curriculum (including hands-on learning) learned four extra months of science over two years.

That’s a simply staggering result.

I was hoping to argue that we should expect contradictory studies, and learn from the tensions between them.

In particular, the difference between a 1-shot study and a 2-year-long study should really get our attention.

Alas, I can’t make that argument here.

Compared to What?

In the ramp-and-ball study, Zhang’s three student groups learned under three equally plausible conditions. That is: she compared something to something else.

The Washington study, however, compares something to nothing.

That is: teachers at some schools got a shiny new curriculum and lots of dedicated professional development. Teachers at comparison schools got bupkis.

So, it’s entirely possible that the inquiry curriculum caused the extra learning.

It’s also possible that simply doing something new and exciting enlivened the teachers at the inquiry schools.

They might have been equally enlivened by some other kind of curriculum. Who knows: they might have found a well-designed direct-instruction curriculum inspiring.

Unless your control group is doing something, you can’t conclude that your intervention created the change. “Business as usual” — that’s what the researchers really called the control group! — doesn’t count as “doing something.”

An Invitation

Do you have a well-designed inquiry learning study that you love? Please send it to me: [email protected]. I’d love to write about it here…

 

Default Image
Andrew Watson
Andrew Watson

Over at the Cult of Pedagogy, Jennifer Gonzalez has a FANTASTIC post summarizing lots of research on note-taking.

Some headlines:

Note-taking is a skill we should teach.

Visuals improve notes.

Pauses for revision and reflection help a lot.

I should note: Gonzalez cites the well-known Mueller & Oppenheimer study showing that handwritten notes help learning more than laptop notes do. Long-time readers know that I don’t think this study supports that conclusion.

In fact: I think it suggests that the opposite is true. My argument is here.

Despite our disagreement on this one point, there’s so much to savor in this summary that I recommend it highly.

Enjoy!