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How Hard Should Students Think?
Andrew Watson
Andrew Watson

Researchers typically work by isolating variables. If a research team wants to study — say — the effect of fluorescent light on learning, they should compare close-to-identical students and close-to-identical lessons in close-to-identical classrooms. The ONLY difference should be the light.

But here’s the catch: while researchers isolate variables, teachers combine variables. We have to think about the curriculum AND working memory load AND the upcoming fire drill AND the new daily schedule. And — who knows — the installation of new fluorescent lights.

For that reason, teachers can be especially excited when we find researchers who COMBINE topics the way we do every day. For example, consider these two questions:

  1. How hard are my students thinking right now?
  2. How motivated are my students by the work they’re doing?

To teachers, those sound like related questions. But researchers often study either academic motivation or cognition; the two fields are often siloed.

I’ve recently been looking into a theory that combines those two topics; I think you’ll find that combination useful. Here’s the story.

“Load Reduction Instruction,” and Beyond

Personal trainers want gym-goers to lift as much weight as they safely can. If I go to the gym and pick up paperclips, I’m not going to gain much muscle. If I carry a grand piano upstairs, I’ve got a trip to the ER in my near future.

Teachers, like personal trainers, want our students to lift an appropriate cognitive load. The work should be hard enough for them to gain mental muscle, but not so hard that their thinking collapses in frustration, despair, and apathy.

For several years now, scholar Andrew Martin has been researching cognitive load in the classroom. Specifically, as he argued in this 2016 talk, we should be interested in the relationship between cognitive load and motivation. If I ask my students to solve excessively difficult problems, they’ll fail — and lose motivation. By making the cognitive load manageable, I can help them succeed…and thereby increase motivation. As that talk argues, load reduction instruction might boost motivation and engagement. Simpler tasks allow students to succeed; success brings confidence; confidence results in motivation.

So far, Martin’s argument sounds intuitively straightforward. But, as Martin acknowledges in that talk, he’s offering a theory — one that didn’t have direct classroom evidence to support it.

So: what’s happened since 2016?

The Singapore Study

Good news: we now have some experimental data to consider.

A study published in 2023 offers data to support our intuition. Dr. Munira Kadir and colleagues studied the classrooms of four 7th grade science teachers in Singapore. All four teachers worked within an “inquiry learning” paradigm; over the course of six weeks, two of them incorporated “load reduction instruction” (LRI) into their teaching.

Teachers in the LRI sections,

  • started with simple, closed tasks before open-ended, inquiry-focused ones
  • provided higher levels of scaffolding
  • gave practice questions as homework
  • offered regular feedback
  • checked for understanding of foundational ideas before moving on to independent discovery

The other two teachers, in the control condition,

  • assigned open-ended questions throughout the units
  • provided less scaffolding and minimal feedback
  • aimed for independent learning throughout these units

Kadir’s team first measured students’ learning. In the control group, students scored a 2.5/10 on the pre-unit tests to a 5.2/10 on post-unit tests. The LRI group started with lower pre-unit test scores (2.1/10), and rose substantially more (7.8/10) on the post tests. The control group raised their scores 2.7 points; the LRI group, 5.7 points. Whichever statistical framework you want to use, that’s an impressive difference.

The researchers also gathered self-report data about students’ feeling of competence, interest, self-regulation, and career aspirations. LRI made no difference for reported self-regulation and career aspirations; it helped only slightly for students’ interest. But for feeling of competence, the difference will get your attention.

Students in the LRI group rated their own feeling of competence slightly higher at the end of six weeks: on a scale of 1-6, the average rose from 4.19 to 4.36. But — here’s the big news — students in the control group reported a distressing decline in their feeling of competence. They started with a higher rating than the LRI group — 4.40 — and ended with a 3.47: almost a full point drop!

In this study:

  • instruction that focuses on managing cognitive load helps students learn more, and maintained their feelings of competence, whereas
  • instruction that strictly adheres to a pure inquiry paradigm offers fewer learning benefits and meaningfully reduces students’ feeling of competence.

Treading Carefully

Kadir’s study, of course, is not the final word on this topic.

  1. As Dan Willingham says: “one study is just one study, folks.” We’d love to see similar studies in other disciplines, other grades, and other cultural contexts.
  2. The control group for this study is “business as usual.” That is: two teachers got something: a fun new method and lots of extra training; two teachers got nothing. Perhaps we’re seeing the difference between something and nothing, not the difference between inquiry+LRI and straight-up inquiry.
  3. We should also note that Martin’s initial LRI claim is that “effective cognitive load management can enhance motivation.” This study, however, doesn’t measure motivation directly. We can plausibly infer that people feel more motivation when they feel more competent; both common sense and self-determination theory tell us so. But this research team didn’t explicitly measure motivation as an outcome.

Even with these critiques, I do think Kadir’s study merits our attention. After all:

  • Common sense tells us that students who succeed at their academic work will feel more motivated to undertake it.
  • Andrew Martin lays out a substantial theory explaining why that would be so.
  • Team Kadir’s research finds that load management results in more learning and sustains students’ feeling of competence.

When classroom experience, theory, and research align, we have good reason to start incorporating these ideas more carefully into our practice.


Kadir, M. S., Yeung, A. S., Caleon, I. S., Diallo, T. M., Forbes, A., & Koh, W. X. (2023). The effects of load reduction instruction on educational outcomes: An intervention study on hands‐on inquiry‐based learning in science. Applied Cognitive Psychology37(4), 814-829.

Putting It All Together: Connecting “Motivation” with “Teaching Style”
Andrew Watson
Andrew Watson

Researchers tend to focus on particular topics in education.

Some folks study attention, while others look at motivation.

A research team here might look at working memory, while that team over there considers sleep.

And: let’s not forget about technology!

Of course, it’s useful to have specialists in each of these fields; each one is highly complicated.

At the same time, as teachers, we need to understand how all the pieces fit together.

College student smiling while taking notes on while studying

After all, if I’m successfully managing my students’ working memory load, but they’re not paying attention, then all my working-memory efforts have gone to waste.

For this reason, we’d like greater clarity about putting the pieces together.

For instance, you might wonder: what’s the relationship between cognitive load and motivation?

I’m so glad you asked…

Calling Austrialia

In a recently-published study, an international group of researchers asked almost 1300 Australian students in grades 7-10 to fill out surveys about their academic experience.

Some questions asked student to rate their teachers’ efforts to reduce the complexity of the material (that is, the “instructional load”):

On a scale of 1-7, they responded to statements like:

“When we learn new things in class, the teacher makes it easy at first.”

“As we work on tasks or activities in this class, the teacher gives good assistance.”

“In this class, the teacher makes sure we get enough practice before moving on to new tasks or activities.”

Other statements focused mental work the students were doing (that is, their “cognitive load”):

“The work in this class is very difficult for me.”

“The way information is presented in this class is too complex.”

Still others inquired about the teachers’ motivational strategies, and the students’ experience of motivation:

“The teacher communicates which learning goals he/she expects you to accomplish
by the end of the lesson;”

“The teacher doesn’t plan or organize too much. The lesson will just happen;”

“The teacher offers a very interesting, highly engaging lesson;”

“The teacher insists that you have to finish all your required work—no exceptions, no excuses”

As you can see right away, these researchers have an ENORMOUS amount of data to crunch as they calculate the relationships among all these variables.

By the way, we should note the researchers’ method here: they’re considering survey data. Some people — quite reasonably — worry that survey data can’t really capture classroom reality.

For instance, a student might perceive that “the teacher doesn’t plan or organize too much. The lesson will just happen.” But that perception might be entirely inaccurate.

With that caveat in mind, what did the researchers find?

The (Basic) Results: Reversing Assumptions

Given all the variables measured above, we can expect LOTS of findings — reported in graphs and equations and declarations.

What does it all boil down to?

The simple summary reverses a common belief.

Teachers often assume that “when my students feel motivated, they will learn more.”

These data suggest that “when my students learn more, they feel motivated.”

More precisely: according to the survey data, teachers who ensure that cognitive load remains managable help students learn more. That additional learning correlates with higher subsequent motivation.

This finding makes a rough-n-ready sense. For example: my students rarely clamor to learn grammar; they are, honestly, not super motivated to do so.

However, part of their demotivation results from the fact that grammar learning is notoriously difficult. (“Object complements,” anyone?) My students just feel bad when they keep failing at it.

If I teach well — that is, if I reduce the cognitive load of learning grammar — they are likelier to succeed at doing so. Result: they feel less demotivated. Heck, they might even feel motivated.

The (Advanced) Results: All That Lingo

Research ain’t research if it doesn’t include lots of niche-y terminology.

Unfortunately, as is often the case, the terminology here gets rather confusing.

Because the research team draws on two very different fields (working memory, motivation), and two different theories (cognitive load, self-determination), we can easily get bogged down in the terminological niceties.

For example, the researches consider a teacher’s motivational style along two axes: do the teachers support or thwart students’ needs; are they highly directive or not. The resulting four quadrants are broken down into further sub-categories, resulting in — I’m not joking here — EIGHT different teaching styles: “attuning,” “guiding,” “clarifying,” “demanding,” “domineering,” and so forth.

The word “autonomy” — quite an important word in self-determination theory — leads to particular puzzles.

We might reasonably think that “autonomy” means “the teacher encourages students by giving them relatively more freedom to explore and solve problems on their own.” However, in this terminological world:

“Autonomy support … directs attention towards activities that are necessary for learning, thus reducing the proportion of cognitive load that is extraneous.”

Which is to say, teachers support autonomy by “directing” students in specific ways. Lots of student freedom might sound “autonomous,” but that’s not what the word “autonomy” means in this context.

To Sum Up

I’ve focused on this terminology because I think the study’s results are easy to misunderstand.

Here is their conclusion, quoted from the abstract:

We conclude that by using load-reducing strategies and a motivating style characterized by structure and autonomy support, teachers can reduce students’ cognitive load and improve their self-regulated motivation, engagement, and achievement.

In that sentence, “autonomy support” does NOT mean “give students lots of freedom” or “be sure to emphasize voice and choice.” Instead, it means “students can think effectively and autonomously when teachers direct them towards specific and manageable cognitive work.”

That effective thinking, it turn, results in more learning, and higher levels of motivation.

The big picture: by putting together two distinct research fields — cognitive load theory and self determination theory — we can start to get a clearer picture of complex classroom realities.


 

 

A final note:

The title of this blog post includes the phrase “teaching style” because the researchers use it.

That phrase, however, does NOT mean that “learning styles” are a thing. They’re not.


Evans, P., Vansteenkiste, M., Parker, P., Kingsford-Smith, A., & Zhou, S. (2024). Cognitive Load Theory and Its Relationships with Motivation: a Self-Determination Theory Perspective. Educational Psychology Review36(1), 7.

The Best Book on Cognitive Load Theory: Ollie Lovell to the Rescue
Andrew Watson
Andrew Watson

Teaching ought to be easy.

After all, we have a functionally infinite amount of long-term memory. You don’t have to forget one thing to learn another thing — really.

So: I should be able to shovel information and skills into your infinite long-term memory. Voila! You’d know everything

Alas, to get to your long-term memory, “information and skills” have to pass through your working memory. This very narrow bottleneck makes learning terribly difficult — as teachers and students well know.

If only someone would come up with a theory to explain this bottleneck. If only that theory would help teachers and students succeed despite its narrow confines.

Good News, with a Twist

Happily, that theory exists. It’s called “cognitive load theory,” and several scholars in Australia (led by John Sweller) have been developing it for a few decades now.

It explains the relationship between infinite long-term memory and limited working memory. It explores practical classroom strategies to solve the problems created by this relationship.

Heck, it even muses upon evolutionary explanations for some quirky exceptions to its rules.

In other words, it has almost everything a teacher could want.

Alas — [warning: controversial opinion] — it does include one glaring difficulty.

Cognitive load theory helps educational psychologists talk with other educational psychologists about these topics.

However, it relies on on a long list of terms, each of which describes complex — sometimes counter-intuitive — concepts.

If you start reading articles based on cognitive load theory, you might well discover that …

… a particular teaching practice works this way because of the “split attention effect” (which doesn’t mean exactly what it sounds like),

… but it works that way because of the “expertise reversal effect,”

… and “element interactivity” might explain these contradictory results.

For this reason, paradoxically, teachers who try to understand and apply cognitive load theory often experience cognitive overload.

As a result, teachers would really benefit from a book that explains cognitive load theory so clearly as not to overwhelm our working memory.

Could such a book exist?

Ollie Lovell To The Rescue

Yes, reader, it exists. Oliver Lovell has written Sweller’s Cognitive Load Theory In Action (as part of Tom Sherrington’s “In Action” series).

Lovell’s book does exactly what teachers want it to do: explain cognitive load theory without overloading our cognitive faculties.

Lovell accomplishes this feat with three strategies.

First, he has an impressive ability to explain cognitive load theory concepts with bracing clarity.

For instance, let’s go back to that “expertise reversal effect.” Why might a teaching strategy benefit a novice but not an expert?

Lovell’s answer: redundancy. Redundant information taxes working memory. And, crucially:

“What is redundant for an expert is not redundant for the novice, and instructional recommendations are reversed accordingly.”

That’s the “expertise reversal effect.” Pithy, clear, sensible.

Because he writes and explains so clearly, Lovell helps teachers understand all that cognitive load theory terminology without feeling overwhelmed.

Second, Lovell gives examples.

SO MANY CLASSROOM EXAMPLES.

Whatever grade you teach, whatever topic you teach, you’ll find your discipline, your grade, and your interests represented. (I believe Lovell is a math teacher; as a high-school English teacher, I never felt slighted or ignored.)

Geography, piano, computer programming. It’s all there.

Knowing that clear explanations of worked examples can reduce working memory load, he provides plenty.

Practicing What He Preaches

Third, Lovell simplifies needless complexities.

Students of cognitive load theory will notice that he more-or-less skips over “germane” cognitive load: a category that has (ironically) created all sorts of “extraneous” working memory load for people trying to understand the theory.

He describes the difference between biologically primary and biologically secondary learning. And he explains the potential benefits this theory offers school folk.

However, Lovell doesn’t get bogged down in this niche-y (but fascinating) topic. He gives it just enough room, but not more.

Heck, he even keeps footnotes to a minimum, so as not to split the reader’s attention. Now that’s dedication to reducing working memory load!

Simply put: Lovell both explains and enacts strategies to manage working memory load just right.

In Brief

No doubt your pile of “must read” books is intimidatingly large.

If you want to know how to manage working memory load (and why doing so matters), Lovell’s Cognitive Load Theory in Action should be on top of that pile.


A final note:

I suspect Lovell’s explanations are so clear because he has lots of experience explaining.

Check out his wise, thoughtful, well-informed podcasts here.