Connecting academic content with real situations helps students understand what they are learning it for. Find out how to bring it into the classroom.

There is a question many students have asked at some point:
“And what do I need this for?”
It comes up after a maths formula, or while a science concept is being studied, or when they have to analyse a text, or when they need to learn to read a graph.
The teacher's most common answer tends to be: “You will need it later on.”
But there is another possibility. Instead of explaining what a piece of content might be useful for in the future, we can try to find where it is useful today.
And very often that place is much closer than we think.
Let us imagine a maths lesson. The teacher is working on percentages. They could explain how to calculate them, set a few exercises and finish with an assessment. It all works. But that same day the school is preparing a campaign to reduce water waste.
And a question appears: how much water could we really save if we cut our consumption by 15 %?
Suddenly, the percentage stops being only a piece of content. Now it serves to answer something. Students need to know the current consumption. To work out how much 15 % represents, compare scenarios, interpret the results and perhaps discover that a reduction that looked small can add up to a significant amount.
The academic content is still exactly the same. What changes is what it is used for.
It is not always necessary to design a fictional situation to give content a context. Very often the context already exists. At school, at home, in the neighbourhood, in the news, in the digital environment, in the students' own conversations, the price of food, energy consumption, mobility, the amount of waste, water use, advertising, social media, diet, the climate, housing, sport, technology. These are situations students already know. The opportunity lies in asking ourselves: which academic content can help us understand this better?
We usually think like this: content → exercise → application
First we teach something. Then we practise. And, if there is time left, we look for a situation to apply it to. But we can reverse the route: situation → question → content → application
For example: a group wants to know whether it is really raining less than it used to. To answer that they need data, to work with that data they need to learn how to represent it, to interpret it they need to understand certain variables and to draw conclusions they need to build an argument.
Content appears because the situation makes it necessary. That can create a completely different experience.
Let us now think about language. The aim is to work on argumentation. One option is to explain what an argumentative text is and then ask students to write one. Another is to raise a question that affects them directly: should the school reduce phone use during the school day?
Now they have a position, but an opinion is not yet an argument. They need to look for information, tell facts from opinions, select evidence, build reasons, anticipate counter-arguments, write, revise and defend their position.
The academic content has not disappeared, argumentation is still at the centre. But now there is a reason to argue.
Connecting learning with real life does not mean turning every lesson into an informal activity. Nor does it mean abandoning academic content. It is precisely the opposite. A real problem can force students to use it in greater depth. If we want to know how much it would cost to install solar panels at the school, talking about energy is not enough. We may need: maths to work out costs and consumption; science to understand how solar energy works; technology to research solutions; language to present a proposal; and critical thinking to assess whether the solution really makes sense.
The real situation does not replace knowledge. It gives it a reason to be used.
They probably will not know. And that is fine. If they know the answer from the start, perhaps there is no real problem to solve.
Let us imagine we want to know whether the school playground could be put to better use. Students may have ideas. But questions will quickly appear: how much space do we have? how is it used at the moment? what do the different groups need? which areas get the most sun? how much would it cost to change it? how could we represent a new layout? what do the people who use that space think? Each answer opens another question. And each question can create a learning need. That is where content begins to make sense.
It is also worth avoiding the other extreme. Not every piece of content needs to become a large interdisciplinary project. Sometimes a simple connection is enough. A graph can serve to interpret the results of a real survey, a proportion can serve to compare prices, a reading can serve to analyse a news story, a formula can serve to solve a specific situation, a scientific concept can serve to explain something students observe every day. There is no need to build a huge experience. Sometimes a good question is enough.
There is an important difference between asking to check whether students remember something and asking so that they have to use it.
The second question in each example is not necessarily “better”. But it does create a situation where knowledge has something to do.
When there is a real problem, it is also easier to decide whether we need technology. If we want to know the school's energy consumption, we may need devices to collect data. If we want to analyse a survey, a spreadsheet can help us. If we want to design a new layout for the space, a digital tool can make the representation easier. If we want to research different solutions, an AI tool can help us explore alternatives or formulate new questions. And an LMS can serve to organise resources, activities, deliverables, collaboration and progress tracking.
But the order still matters: first the situation, then the need and finally the tool. Not the other way round.
Here too, real experience can be a good criterion. If the project requires looking up information, collecting data or working with digital content outside the classroom, connectivity can become a variable of the design itself. That is why, when the important resources can stay available offline and sync afterwards, an experience can carry on even when conditions are not perfect. Real life does not run on a permanent connection either. And learning should not necessarily depend on everything going exactly as planned.
Something especially valuable happens after the problem is solved. Students can look back and understand: “Now I know why I needed to learn this.” Not because someone told them, but because they experienced it.
The formula that looked abstract served to make a decision, the graph served to understand a problem, the reading served to build an argument, science served to explain something observed, technology served to create a solution. That moment can change the relationship with learning.
In an academic exercise we usually know what the answer should be, in real life, very often we do not.
What is the best solution for reducing water consumption? How much should be invested? How should a space be organised? Which proposal would convince other people? Which alternative would have the least impact? There is not always a single answer. Information has to be gathered and analysed, decisions have to be made and reasons have to be explained. That makes it possible to work not only on knowledge, but also on judgement.
There is no need to redesign the whole curriculum. We can take a piece of content we already plan to teach and ask ourselves three questions:
If we find an answer, we already have a starting point. And then we can build the activity around it. We do not need to turn every lesson into a project, we only need to create more moments in which knowledge has a purpose.
When a student asks: “What is this for?” we can reply with an explanation. But we can also do something more interesting: look together for a situation where it is genuinely needed. Because connecting academic content with real life does not mean making everything practical, it means helping students discover that behind many concepts that look abstract there are tools to understand, analyse, decide, create and transform what happens around them. And when knowledge starts doing something, it stops being only content. It becomes a tool for understanding the world.
A practical way is to start from a real situation or problem and ask which knowledge can help to understand, analyse or solve it. That way, academic content takes on a specific purpose within the learning experience.
Because it lets students see what they can use the knowledge they are learning for. Content stops being only something to remember and becomes a tool to understand, analyse, decide or create.
It is not always necessary to invent a scenario. You can use familiar situations such as water or energy consumption, waste, mobility, food prices, sport, technology, the news or problems connected with the school itself.
One option is to change the usual order: instead of starting with the content, start from a situation, pose a question and work out which knowledge students need to understand it or make a decision.
No. A simple connection can be enough. A graph can serve to analyse a real survey, a proportion to compare prices or a formula to solve a specific situation. Not every experience needs to turn into a large project.
Questions that start with “how?”, “how much?” or “what would happen if...?” can help students use knowledge to investigate or make decisions. For example, instead of asking how big a space is, you can ask how much paint would be needed to cover it.
No. A real situation can demand using content in greater depth. Academic knowledge is still necessary, but it takes on a specific purpose within the situation.
It is part of the experience. A real problem can raise new questions and show which knowledge students need in order to move forward. Teachers can support that process and connect the needs that appear with academic content.
Teachers help to identify relevant situations, pose questions, connect those situations with content and support students while they research, analyse information and make decisions.
Technology can be used when it answers a specific need. It can help to collect data, analyse it, represent information, research alternatives, create solutions or organise the work.
AI can help to explore alternatives, formulate new questions or research different possibilities when there is a need within the experience. Its use should serve the problem and the learning.
An LMS can help to organise resources, activities, deliverables, collaboration and progress tracking, especially when an experience involves different stages or runs across several sessions.
Connectivity can be part of the design of the experience. When the important resources can stay available offline and sync afterwards, learning can carry on even when conditions are not ideal.
You can start with content you already have planned and ask three questions: where does this knowledge appear in real life?, which problem can we understand better thanks to it? and which decision could we make using what we are about to learn?
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