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Schools increasingly say they want students to become independent thinkers. We want young people who can communicate effectively, collaborate with others, solve unfamiliar problems, evaluate information, create new ideas and take greater responsibility for their own learning.

Yet much of schooling still depends on students waiting to be told what to think about, what to do next and whether their answer is correct.

That does not mean teacher-led instruction is the problem. Good explanations matter. Students need knowledge. Teachers need to model difficult concepts, correct misconceptions and provide clear guidance—particularly when students are encountering something new.

But if our ambitions extend beyond remembering information, students eventually need opportunities to do something meaningful with what they know.

The challenge is not to remove the teacher from learning. It is to make sure the students are thinking too.

Active Does Not Mean Busy

The term active learning can be misleading.

It can bring to mind students moving around the classroom, working in groups, completing projects, sticking notes to walls or participating in games. These things can support learning, but visible activity is not the same as intellectual activity.

A classroom can be extremely busy while requiring surprisingly little thought. Conversely, a student sitting quietly wrestling with a difficult question may be intensely engaged in learning.

Research on cognitive engagement helps explain this distinction. Chi and Wylie’s ICAP framework, for example, distinguishes different forms of engagement according to what learners are cognitively doing—not simply how active they appear.

A classroom does not become active because students are busy. It becomes active when students have meaningful thinking to do.

So the useful question is not simply whether students are doing something. It is what they are thinking about while they do it.

Are they comparing ideas? Making decisions? Explaining their reasoning? Looking for evidence? Asking questions? Solving problems? Testing possibilities? Creating something? Revising an idea after receiving feedback?

Active learning is ultimately about cognitive participation.

Students are not simply receiving the finished product of someone else’s thinking. They are expected to contribute some thinking of their own.

Who Is Doing the Intellectual Work?

This leads to a useful question for teachers:

Who is doing most of the intellectual work in this lesson?

Teachers can unintentionally do much of it for students.

We identify the problem. We select the information. We decide which strategy should be used. We break the task into steps. We ask the questions. We determine when an answer is complete. Then we move everyone to the next activity.

The lesson may be extremely well organized, but students can sometimes succeed simply by following the path we have already constructed.

Active learning gradually transfers some of that intellectual responsibility to the learner.

Students might have to decide which information matters, select an approach, justify a conclusion, notice an error, compare competing explanations or determine what question needs to be asked next.

That does not mean removing support.

It means being thoughtful about which parts of the thinking students are ready to take responsibility for themselves.

Guidance and Active Learning Belong Together

Discussions about active learning can become unnecessarily polarized. Teacher instruction and student thinking are sometimes presented as competing approaches.

They should not be.

Students encountering unfamiliar or complex material often need substantial guidance. Active learning does not require teachers to withhold that support: explanation, modelling, scaffolding and feedback can provide the foundation from which students gradually take greater responsibility for the thinking.

Without sufficient background knowledge, asking students to think critically about a complex topic can quickly become an exercise in guessing.

Teachers therefore remain essential.

We explain. We model. We introduce vocabulary. We activate prior knowledge. We demonstrate strategies. We provide examples and feedback.

Then students need opportunities to use what they have been given.

A strong lesson might move between these modes repeatedly: explanation, application, questioning, feedback, revision and further explanation.

The goal is not less teaching.

It is teaching that increasingly enables students to think without the teacher doing every part of the thinking for them.

Knowledge and Thinking Need Each Other

Discussions of “21st-century skills” sometimes create another false choice: knowledge versus skills.

Students need both.

Critical thinking without knowledge is extraordinarily difficult. To evaluate an argument, recognize a weak explanation or propose a sensible solution, we need something to think with.

Research synthesized in How People Learn II similarly highlights the importance of prior knowledge, connections between ideas, reasoning and developing knowledge that can be used flexibly in new situations.

But possessing knowledge does not automatically mean someone can use it effectively.

A student might correctly explain a scientific concept yet struggle to apply it to an unfamiliar situation. Another might know grammatical rules but struggle to communicate an idea clearly. A student may successfully reproduce a mathematical procedure yet be unsure which procedure to choose when the problem looks different from the examples in the textbook.

Learning therefore cannot end with acquiring knowledge.

Students also need opportunities to retrieve it, apply it, connect it, question it and transfer it to new situations.

That is where active learning becomes particularly powerful.

Sometimes a Small Change Is Enough

Active learning does not necessarily require elaborate projects or completely redesigned lessons.

Sometimes changing the intellectual demand of a familiar task is enough. Imagine students have just finished reading a text.

One approach is to give them five comprehension questions. The questions may be useful and may confirm whether students understood what they read.

But we could take the same text and present students with two competing interpretations:

Which interpretation is better supported by the text?

Students must now find evidence, decide which evidence is strongest, explain their reasoning and perhaps convince another group that their interpretation is better supported.

The reading has not changed. The curriculum has not changed. But the intellectual work has.

This is one reason active learning should not be treated as another teaching technique to add to an already crowded toolbox. It can instead become a way of thinking about lesson design.

Instead of asking only:

What am I going to teach?

we can also ask:

What will my students have to think about?

Productive Struggle Matters

When students take greater intellectual responsibility, something else appears: uncertainty.

They will not always know immediately what to do.

They may try an approach that does not work. They may disagree. They may discover that their first explanation was weak. They may need to listen to another idea and revise their own.

That struggle can be productive.

Interestingly, research by Deslauriers and colleagues found that students in an active-learning condition learned more while reporting a lower feeling of learning than students receiving more passive instruction. It is an important reminder that learning which demands greater cognitive effort may not always feel easier or more effective to the learner.

But productive struggle should not mean prolonged confusion.

The teacher’s role is to judge when to intervene, when to provide another clue, when to model a strategy, when to ask a better question and when to allow students a little more time to work something out for themselves.

The goal is not maximum difficulty. It is the right level of intellectual challenge with the right level of support.

Collaboration Needs a Reason

The same principle applies to collaboration. Putting four students around a table does not automatically create collaborative learning.

One student may do the work while everyone else watches. Or the task may simply be divided into four independent pieces and assembled at the end.

Students are sitting together, but they are not necessarily thinking together.

Meaningful collaboration requires some form of intellectual interdependence.

Students might possess different pieces of information. They might need to compare evidence, reach a shared decision, challenge one another’s reasoning or agree on the strongest solution.

In these situations, communication and collaboration are no longer additional “skills” attached to the lesson.

They become necessary in order to complete the learning.

From Answering Questions to Asking Them

Perhaps one of the most important shifts is helping students become comfortable with questions that do not have immediately obvious answers.

Traditional classroom patterns can unintentionally teach students that the teacher asks questions and students provide answers.

Real intellectual work is often messier.

What do we know?

What don’t we know?

What evidence would help us?

Which explanation makes the most sense?

What if our first assumption is wrong?

Over time, students should become increasingly capable of asking these questions themselves.

This is part of becoming an independent learner: not simply knowing more answers, but becoming better at recognizing when a question needs to be asked.

AI Changes What Students Need to Do With an Answer

Artificial intelligence makes this conversation more urgent.

AI can now produce explanations, arguments, images and proposed solutions with remarkable speed. The educational challenge is therefore no longer confined to producing an answer. Students must also understand enough to question it, test it, improve it and decide whether it deserves to be trusted.

That does not make knowledge less important. Quite the opposite.

A student needs enough knowledge to recognize when an AI-generated answer is inaccurate, superficial or misleading. They need to know what questions to ask, what evidence to trust, what should be checked and what could be improved.

Emerging international approaches to AI literacy reflect this shift. The OECD and European Commission’s framework for primary and secondary education, for example, emphasizes not only using AI but understanding it, critically evaluating its outputs and making informed decisions about its use.

Producing something can no longer, by itself, demonstrate that meaningful learning has taken place.

Students increasingly need to explain why an answer makes sense, evaluate its quality, verify its claims, improve its weaknesses and apply what they know in situations where the answer is not obvious.

None of this means every lesson should become a project.

Not every class needs group work. Not every topic requires inquiry. Sometimes the most effective thing a teacher can do is explain something clearly and directly.

The goal is not constant activity.

The goal is that, over time, students take an increasing share of the intellectual responsibility for learning.

They should have opportunities to explain, question, investigate, create, decide, revise and reflect—not because these activities are fashionable, but because these are some of the processes through which capable and increasingly independent thinkers develop.

Perhaps lesson planning therefore needs three questions:

What will I teach today?

What will my students do today?

And, most importantly:

What will my students have to think about today?

The future of learning may involve increasingly powerful technology. But the central challenge remains surprisingly human: creating classrooms in which students are not merely given more information, but are expected—and supported—to do something meaningful with it.

References

Chi, M. T. H., & Wylie, R. (2014). The ICAP framework: Linking cognitive engagement to active learning outcomes. Educational Psychologist, 49(4), 219–243. https://doi.org/10.1080/00461520.2014.965823

Deslauriers, L., McCarty, L. S., Miller, K., Callaghan, K., & Kestin, G. (2019). Measuring actual learning versus feeling of learning in response to being actively engaged in the classroom. Proceedings of the National Academy of Sciences, 116(39), 19251–19257. https://doi.org/10.1073/pnas.1821936116

Freeman, S., Eddy, S. L., McDonough, M., Smith, M. K., Okoroafor, N., Jordt, H., & Wenderoth, M. P. (2014). Active learning increases student performance in science, engineering, and mathematics. Proceedings of the National Academy of Sciences, 111(23), 8410–8415. https://doi.org/10.1073/pnas.1319030111

Kirschner, P. A., Sweller, J., & Clark, R. E. (2006). Why minimal guidance during instruction does not work: An analysis of the failure of constructivist, discovery, problem-based, experiential, and inquiry-based teaching. Educational Psychologist, 41(2), 75–86. https://doi.org/10.1207/s15326985ep4102_1

National Academies of Sciences, Engineering, and Medicine. (2018). How people learn II: Learners, contexts, and cultures. The National Academies Press. https://doi.org/10.17226/24783

OECD/European Commission. (2026). Empowering learners for the age of AI: An AI literacy framework for primary and secondary education. OECD Publishing. https://doi.org/10.1787/65cd27d4-en