Tag: task design

5 Moves That Stop Students Taking the Easy Way Out

 Pedagogy · Cognitive Engagement

Why Your Classroom Might Be Teaching Students to Switch Off

The problem isn’t that students resist thinking. It’s that we’ve made not thinking the easier option.

⏱ 6 min read · By Matt Faulkner · Pedagogy / Cognitive Engagement

The average time a person spends on any single screen before switching has dropped from two and a half minutes in 2004 to around 47 seconds today. That is not a phone problem. That is a habit problem — and schools have been quietly building it for decades.

Last week’s post on productive struggle made the case that genuine learning requires cognitive effort — and that effort is often uncomfortable. That said, naming productive struggle as a goal is the easy part. The harder question is: what force is working against it? Why do students so reliably reach for the path of least cognitive resistance, even when they are sitting in a room designed for learning?

The answer isn’t laziness. In most cases, it isn’t even a lack of motivation. It’s something more structural — and more fixable.

What Is the Path of Least Cognitive Resistance?

The brain is an energy-conservation machine. Left to its own devices, it defaults to the lowest-cost route available. Psychologists call this System 1 thinking — fast, automatic, low-effort. System 2, the slower and more deliberate mode, is what we need for analysis, problem-solving, and genuine learning. The catch is that System 2 is expensive. The brain only commits to it when it has to.

This is not a design flaw. In most areas of life, conserving cognitive energy is sensible. The problem arises when classroom environments are structured in ways that make System 1 sufficient. In other words, when students can get through a lesson — answer the questions, fill the worksheet, satisfy the teacher — without ever really thinking.

The OECD defines cognitive engagement as the mental state where learners exert sufficient, sustained effort to persist with a complex idea or unstructured problem. That definition is worth holding onto. It is specifically about effort and persistence. Not compliance, not busyness, and not the appearance of working. By that definition, a class full of students who are on task may still not be cognitively engaged at all.

A student checking Instagram to survive a pointless lesson is different from a student checking Instagram during a lesson they find meaningful. We tend to treat these as the same problem. They are not.

How Classrooms Create the Problem

Here is the uncomfortable part. Distraction is not just something that happens to learners from the outside. It is also something that learning environments create from the inside.

Compliance-based classrooms — built around predictable tasks, scripted routines, and curricula disconnected from students’ questions — don’t simply fail to engage learners. Over time, they train students to zone out. To wait for class to end. To treat thinking as optional. The path of least cognitive resistance becomes the default setting. Not because students chose it, but because the environment made it easy.

That said, this is different from the phone debate. Removing distractions from the outside — banning devices, adjusting seating — addresses one half of the problem. The other half is internal: the structure of the learning experience itself. A student who finds a lesson genuinely purposeful will resist external distraction far better than one simply going through the motions in a phone-free room.

In practice, this means the question isn’t only “how do I keep students on task?” It is “what is the task asking of them, cognitively?” Those are different questions. Only the second one changes the default.

The Environment Angle: Make Thinking the Easier Choice

Research from UCL suggests that human decisions are shaped not just by deliberate reasoning but by the friction profile of available choices — how easy or effortful each option feels. The implication for classrooms is direct. If passive compliance is frictionless and active thinking requires effort, most students will choose compliance. As a result, the fix isn’t only to motivate students to think harder. It is to reduce the friction on thinking and raise the friction on switching off.

In other words, that’s a design problem — and it has design solutions.

Reducing Friction on Thinking

🏗️ Environment Moves That Shift the Default
  • Change the seating expectation. Rows facing the front make passive reception easy. Clusters or paired arrangements make conversation the default. Neither is always right, but consider what behaviour each layout makes effortless.
  • Build in talk as a structural requirement, not a reward. When discussion is positioned as “time to chat before we get back to work,” students read it as a break. When it is built into the task — “you need a partner’s view to complete this” — thinking becomes the easier path.
  • Use visible thinking tools. Mini whiteboards, sticky notes, and shared documents make thinking visible and public. That slight social pressure — knowing others can see your ideas — raises the cost of switching off.
  • Vary the routine intentionally. Around 45% of everyday behaviours are repeated in the same location without deliberate thought. When every lesson follows the exact same structure, the brain learns to run on autopilot. Small, deliberate variation — a different entry task, a different question format — keeps System 2 online a little longer.

The Planning Angle: Build Demand Into the Task

Environment changes help, but they are only scaffolding. The more powerful lever is the task itself. Even so, a thoughtfully designed environment cannot compensate for a task that requires no thinking.

For that reason, the key question at the planning stage — before you write the lesson, not after — is: at what point in this task does a student have to think? If the answer is “never, really,” the task needs redesigning, not better classroom management. This is exactly the territory that backward design addresses. Start from the learning intention and work backwards to a task that genuinely demands it.

Beyond that, the type of thinking matters. Tasks that ask students to recall, copy, or follow a procedure leave System 2 largely unused. By contrast, tasks that require students to evaluate, connect, justify, or construct something novel pull System 2 into the work. That is the core of what we covered in our post on higher-order questioning — and it applies equally to tasks, not just questions.

Task Design Checks Before You Teach

✏️ Four Planning Questions to Raise Cognitive Demand
  • Can a student complete this without thinking? If the answer is yes — if recall, copying, or pattern-matching is sufficient — redesign the endpoint. Add a “why” or “how do you know” requirement.
  • Does the task have a low floor and a high ceiling? Every student should be able to begin. Not every student should be able to finish quickly. Open-ended tasks with multiple entry points make switching off less tempting because there is always somewhere to go.
  • Where is the decision point? The moment a student must choose — between interpretations, approaches, or ideas — is the moment cognitive effort is unavoidable. Plan at least one genuine decision into every task.
  • Does the task connect to something students actually care about? Relevance reduces the pull of least resistance. Students will do more cognitive work on a problem they find worth solving.

Making Thinking the Low-Resistance Option

The goal is not to make classrooms cognitively exhausting. Students need to build capacity gradually — and they need to feel the success of thinking hard and getting somewhere. That is exactly the territory covered in the productive struggle post: challenge needs to sit within reach.

Even so, the framing shift matters. For most of us, the instinct is to fight the path of least resistance. To push students to try harder, engage more, focus better. That framing puts all the responsibility on the student. A more productive question is: which path are we making easy? In a well-designed classroom, the low-resistance option and the thinking option are, as often as possible, the same thing.

That doesn’t happen by accident. It happens in the planning stage and in the physical arrangement of the room. It happens in the habits we build — deliberately — from the first weeks of the year. Which is, conveniently, what the next series of posts is going to look at.

What does the path of least resistance look like in your classroom? Is it a particular task type, a time of day, or a room setup that makes switching off too easy? Share what you’ve noticed — and what you’ve tried — in the comments below.

References and Further Reading

Juliani, A. J. (2025). We have a distraction problem. But we’ve been solving the wrong half of it. ajjuliani.com. ajjuliani.com

OECD. (2025). Ensuring cognitive engagement: Unlocking high-quality teaching. OECD Publishing. oecd.org

University College London. (2017, February 21). Humans are hard-wired to follow the path of least resistance. ScienceDaily. sciencedaily.com

Kahneman, D. (2011). Thinking, fast and slow. Farrar, Straus and Giroux.

5 Powerful Moves That Will Actually Make Students Struggle

Week 15 · Pedagogy · Task Design

5 Task Design Moves That Actually Stretch Every Student

Productive struggle isn’t what happens when a task is too hard. It’s what happens when you’ve designed it just right.
⏱ 6 min read · By Matt Faulkner · Pedagogy / New Teachers

There is a particular kind of classroom frustration that has nothing to do with behaviour. It is the lesson where students race through the task, and you realise about twelve minutes in that it asked nothing of them. Or the opposite: where you pitched it harder and now three hands are up, six students are staring at the ceiling, and two have quietly written their name and stopped.

Both of those outcomes have the same root cause. The task was not designed with stretch in mind. It was designed with content in mind — and there is a difference.

Last week, we looked at how backward design changes what you plan for. This post takes the next step. Once you know where students need to get to, the question becomes: how do you design the task that gets them there — one that genuinely challenges without tipping into frustration? The answer has a name in the research literature: productive struggle. And it can be deliberately built in.

What “Just Beyond Comfortable” Actually Means

Lev Vygotsky described the zone of proximal development (ZPD) as the space between what a learner can do independently and what they can do with support. Tasks that sit below the ZPD require no new thinking. Tasks that sit too far above it produce confusion and disengagement. Tasks that sit right at the edge of the ZPD — just beyond what a student can currently do alone — are where genuine learning occurs.

John Sweller’s cognitive load theory adds important precision here. Working memory is limited. When a task overloads it — too many new elements at once, too much unfamiliar vocabulary, too many simultaneous steps — students cannot process the content, let alone learn from it. In other words, difficulty alone is not the goal. Productive difficulty is. The task needs to be complex enough to require real thinking, but structured enough that thinking is actually possible.

For teachers, that distinction is everything. A task is not automatically rigorous because it is hard. It is rigorous when it demands higher-order thinking within a structure students can manage. As a result, designing for productive struggle is less about making tasks harder and more about making them smarter.

The Mindset Piece: Designing for Effort, Not Just Difficulty

Carol Dweck’s research on growth mindset is relevant here — but not in the way it is usually applied. It is not enough to tell students that struggle is good for them. If the task design sends the opposite message — if there is only one right answer, if being wrong feels like failure, if speed is implicitly rewarded — then the growth mindset poster on the wall is just decoration.

Dweck’s central finding is that students who believe intelligence is fixed avoid challenge to protect their self-image. By contrast, students who believe ability grows through effort seek out challenge. The task itself can reinforce either belief. A task with one quick answer rewards speed and confidence. A task that requires iteration, justification, and revision sends the message that effort is the point.

That said, this is not about lowering the stakes or removing rigour. It is about designing tasks where being stuck is a legitimate part of the process — and where the structure supports students to push through, rather than wait for the teacher to rescue them.

There is a timely corollary here for AI use in classrooms. Cognitive scientist Paul Kirschner draws a useful distinction between cognitive offloading and cognitive outsourcing. Offloading — writing notes, drawing a diagram, working through steps on paper — frees up working memory while keeping the student as the thinker. Outsourcing — asking AI to explain, summarise, or produce — transfers the thinking itself to an external agent. The student receives a finished product. Nothing is encoded in long-term memory. For teachers designing tasks with productive struggle in mind, the question is worth asking: does the way students are using AI protect generation, or remove it entirely?

5 Design Moves That Build Productive Struggle In

These moves can be applied individually or in combination. They work across year levels and learning areas. Even one move applied consistently will shift what students experience in your classroom.

🎯 5 Task Design Moves for Productive Struggle
  • Move 1 — Open the entry point. Design tasks with a low floor and a high ceiling. Every student can begin; not every student will reach the same endpoint. This removes the paralysis of “I don’t know where to start” while keeping stretch available for those who are ready for it. Jo Boaler’s work on low-floor/high-ceiling tasks in mathematics is the clearest articulation of this principle in practice — and her YouCubed site has free task banks worth bookmarking.
  • Move 2 — Withhold the scaffold before the answer. Give students the problem before you give them the method. Even five minutes of initial thinking — before any explicit teaching — activates prior knowledge, surfaces misconceptions, and means the instruction that follows has somewhere to land. This is not about leaving students stranded. It is about priming the brain to receive new learning. There is a memory research term for what happens here: the Generation Effect. When students generate an answer — retrieve a word, attempt a problem, construct an explanation — they remember it significantly better than when the same information is simply presented to them. The act of production is itself the act of learning. Jamie Clark’s DistillED newsletter on the Generation Effect is worth reading alongside this post — it is one of the clearest explanations of the research and its classroom implications available right now.
  • Move 3 — Limit the information given upfront. Real-world problems rarely arrive with all the relevant information pre-sorted. Give students a question and some — not all — of the information they need. Require them to identify what’s missing or what they’d need to know. That act of identifying gaps is itself higher-order thinking.
  • Move 4 — Require justification, not just answers. “What is the answer?” asks for recall. “How do you know?” asks for thinking. Build justification into the task structure — not as an add-on, but as the core requirement. A student who can get the right answer but cannot explain it has not yet learned what you think they’ve learned.
  • Move 5 — Build in a “stuck” protocol. Before students begin, name what to do when they get stuck. Three specific options: re-read the task, try a different starting point, or discuss with a partner using a sentence starter (“I think the problem is asking me to…”). This removes the habit of raising a hand the moment something feels difficult — and it signals that being stuck is expected, not a sign of failure.

What This Looks Like in HASS: Year 5 Source Analysis

A standard source analysis task gives students a primary source and asks them to identify the author, date, and one key message. That is a recall task. It sits well below the ZPD for most Year 5 students who have been doing this since Year 3.

A productive struggle version applies Moves 1, 3, and 4. Students receive two short sources on colonial settlement — a settler’s diary entry and an account from an Aboriginal perspective — with no guiding questions. The task is simply: what story are these two sources telling, and where do they disagree? From there, students must write one claim supported by evidence from both sources.

The open entry point (Move 1) means every student can begin with an observation. Limiting the guiding questions (Move 3) means students must decide what matters. Requiring a supported claim (Move 4) means the answer is not retrievable without genuine analysis. The teacher’s role shifts from answer-giver to question-asker — circulating and probing with higher-order questions that push thinking further rather than narrowing it toward a predetermined response.

For more on structuring formative checks around this kind of task, the post on formative assessment strategies covers exit ticket design in detail.

What This Looks Like in Maths: Year 3 Multiplication

A standard multiplication task: Solve 3 × 4. Solve 5 × 6. Solve 7 × 8. Students either know these or they don’t. There is no thinking available beyond retrieval — and no entry point for students who aren’t yet fluent.

A productive struggle version uses Move 1 and Move 2. The teacher displays 24 counters on the interactive whiteboard and asks: how many different ways can you arrange these into equal rows? No method has been taught yet. Students work with their own counters, recording each arrangement. From there, the class shares findings — and the teacher introduces the array and the number sentence as the language for what students already discovered.

The low floor means students working at different points of readiness can all begin. The high ceiling means a student who finds three arrangements quickly is asked: how do you know you’ve found them all? That follow-up question — requiring justification and systematic thinking — is where the stretch lives. In practice, it produces more mathematical reasoning than a worksheet of 20 isolated facts ever will.

Beyond that, notice what the task design does to the explicit teaching that follows. Because students have already struggled with the concept, the instruction has a problem to solve. It lands differently than instruction delivered cold.

Where the Gradual Release Fits

Fisher and Frey’s Gradual Release of Responsibility model — I do, We do, You do — is one of the most widely used frameworks in Australian primary schools. It is also frequently misapplied in ways that accidentally prevent productive struggle.

The problem arises when the “I do” phase is so thorough that the “You do” phase requires nothing beyond imitation. Students are not struggling — they are copying. The GRR is designed to scaffold students into independence, not to eliminate the experience of not-yet-knowing.

Used well, the GRR creates the conditions for productive struggle at the “You do” stage by deliberately withdrawing support at the right moment. The key is that the “We do” phase builds enough shared understanding that students can tolerate uncertainty — not so much that the independent task becomes a rehearsal of what they’ve already watched you do.

That calibration — knowing when to hold the scaffold and when to pull it back — is one of the most important professional judgements in teaching. Even so, it is a judgement that gets easier with practice. And it starts with task design that has stretch built in from the beginning.

Design the task for the thinking you want, not just the answer you need. Students rise to what the task demands of them — and rarely higher.

💬 Over to You — Which of the five moves are you already using, and which one are you going to try first? Or if you’ve got a task that created genuinely productive struggle in your classroom, share it below. The best ideas on this site always come from teachers who’ve already done the hard yards.

References

Bertsch, S., Pesta, B. J., Wiscott, R., & McDaniel, M. A. (2007). The generation effect: A meta-analytic review. Memory & Cognition, 35(2), 201–210. https://doi.org/10.3758/BF03193441

Bjork, E. L., & Bjork, R. A. (2011). Making things hard on yourself, but in a good way: Creating desirable difficulties to enhance learning. In M. A. Gernsbacher, R. W. Pew, L. M. Hough, & J. R. Pomerantz (Eds.), Psychology and the real world: Essays illustrating fundamental contributions to society (pp. 56–64). Worth Publishers.

Boaler, J. (2016). Mathematical mindsets: Unleashing students’ potential through creative math, inspiring messages and innovative teaching. Jossey-Bass.

Dweck, C. S. (2006). Mindset: The new psychology of success. Random House.

Fisher, D., & Frey, N. (2014). Better learning through structured teaching: A framework for the gradual release of responsibility (2nd ed.). ASCD.

Kirschner, P. A. (2026). Offloading? No outsourcing! Retrieved from https://paulkirschner.com

Slamecka, N. J., & Graf, P. (1978). The generation effect: Delineation of a phenomenon. Journal of Experimental Psychology: Human Learning and Memory, 4(6), 592–604. https://doi.org/10.1037/0278-7393.4.6.592

Sweller, J. (1988). Cognitive load during problem solving: Effects on learning. Cognitive Science, 12(2), 257–285. https://doi.org/10.1207/s15516709cog1202_4

Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes. Harvard University Press.