Feedback matters

Here is the next in our series of tips about learning to learn (to program).

TIP 8 :  Immediate, Frequent Feedback Matters

Paul Curzon, Queen Mary University of London

The real key to deliberate practice, to putting in hours of practice that is as effective as possible, is to have immediate and frequent feedback. You need to find ways to be sure what you are doing is right (or wrong). You need to practice the right things and fix the causes when you get things wrong. Otherwise, with all that practice you could just  be getting better and better at doing it badly.

Building appropriate mental models of sub-skills is an important part of this as it can give a basis of being able to providing feedback yourself. The understanding you have can help you work out what you must have done wrong. When a musician plays the wrong note, if they can hear it sounds wrong, they have some feedback. They can work on that note until they consistently get it right.

Programming provides natural forms of feedback. If you write nonsense that isn’t a program at all, perhaps because a single bracket is missing, or because something was mis-spelled, then when you compile the program, the compiler will tell you about your mistakes. The feedback is immediate.  Compile your program frequently and you will get frequent feedback.

Similarly with a good test plan, and knowing what you are trying to implement you can get immediate feedback as to whether a program does the thing you intended or not in all situations.

This will only be helpful if you were not trying to do too much at once. If you spend days (or even hours) trying to write complex programs, before compiling and running then the feedback is not immediate. You only get feedback when you finally finish the whole thing. Therefore it is really, really important you practice by writing small programs, not large ones bigger than anything you’ve tried before.

When you do write larger programs, it is important that you build them a step at a time, adding to them a little at a time, then recompiling and testing them. This requires you to have understanding of the structure of programs as you need with each change to still have what you think is a valid program. This is a skill to gradually develop too.

So again we see that it is important to not try and make too large steps at once, to learn to program effectively.

It is because there are these natural feedback mechanisms in programming that many people teach themselves to program. As long as they are not put off by making mistakes and see them as learning opportunities they can use feedback from compiling and running programs to get better and better.

If you are a:

  • student
    • Practice writing small programs that introduce single new things at a time.
    • Write programs a little at a time, recompiling, running and testing frequently.
    • Don’t be frustrated by compiler messages, see them as feedback to help you improve.
    • Test programs thoroughly, not just once and then assume it works
  • teacher:
    • Set programming exercises that are small
    • For large programs encourage iterative development.
    • Provide exercises with test plans, teaching debugging skills.
    • Provide other mechanisms for immediate feedback if you can, eg marking programs on the spot as a student completes them, not having them handed in with feedback days or weeks later.

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Draw Concept Maps

Here is the next in our series of tips about learning to learn (to program).

TIP 7 :  Reinforce understanding with concept maps

Paul Curzon, Queen Mary University of London

Once you have worked out the basics of a mental model (such as what a programming construct does), you need to reinforce and refine that understanding. You need to do that actively. Weak learners often try and memorise explanations by repetition but that doesn’t help understanding. Reading an explanation and then drawing a concept map, by contrast, is a powerful way to reinforce your understanding.

A concept map is just a simple kind of diagram. It has:

  • circles which represent concepts (think nouns) and
  • arrows between circles that show their relationship (think verbs)

You start by making a list of all the concepts (the nouns) that are relevant. For example, having encountered a print statement you might (based on your initial limited understanding) include in your list:

  • A print statement
  • A print command
  • A String

and draw them as circles. Then you work out how they are related with those links giving you the arrows. So you might draw a concept map of a print statement as:


This focusses on the structure – the bits that make up a print statement – rather than what it does. There are lots of ways to draw a concept map around any given concept or area – its not about right and wrong so much as getting down your current personal understanding. However, in programming you will get most benefit if the concept map focusses on what a programming construct does when it is executed.

Including what the print statement does may lead your next version of the concept map to be a little more sophisticated, so something like:


As you understand more then future versions will be more sophisticated still – for example you might in a later version include how the print statement actually takes a string expression not just a string and it is evaluated first to give a string value.

Reading (or listening to) the explanations of experts is important when creating concept maps as that is how you pick up the terminology of an expert – and so the concepts that matter like “statements” and “expressions”. To become an expert you need to talk the language of experts, not just have the skill of an expert. Concept maps can help bring together the terminology and your developing mental models.

Having created a concept map you can now turn it in to your own explanation, in your own words. From the above we get an explanation in our own words such as:

A print statement consists of a print command and a string. The execution of the print statement makes the string appear on the screen.

The benefit of drawing concept maps is it helps reinforce your understanding of the relationships of concepts to each other and to the concepts you have come across previously….and that is the core of what understanding is about.

If you are a:

  • student
    • Draw a concept map for each new programming concept you learn
    • Keep redrawing it again later as you understand more: you will probably be able to draw a more complex concept map.
    • Write explanations based on your concept map
  • teacher:
    • Show students how to draw concept maps
    • Provide some simple examples to show the idea, but remember the biggest benefits come when students create their own concept maps.
    • Set exercises to create concept maps for each new concept, once students have done some experimentation.
    • Set exercises to write prose explanations from concept maps.

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Learning to Learn (to program): Experiment to learn

Here is the next in our series of tips about learning to learn (to program).

TIP 6 :  Build mental models by experimenting

Paul Curzon, Queen Mary University of London

Before you can practice effectively you need to have built the right mental models. Knowledge and skill join. One way to do this is to read explanations written by others. Sometimes there is a much better way: work it out for yourself! Learn by experimenting! For programming, this is a really powerful way to learn. Instead of building a mental model of constructs from explanations, first try and build your own mental models by reading programs others have written (simple ones to start with), and trying to work out how they work. Learn by making changes based on that and predicting what will happen, then trying by running the program.

This works well with programs because you can execute them and see what they do. Take a program, execute it, then look back at the program and see if you can see how it does what you can see it doing. Make a small change with a clear idea in your head now of what you think it wilo now do, then execute it again. If you were right then you have some confirmation of the mental model you have started to form. Try a different change, and so on.

To take a simple example, here is a Python program.

print "Hello World"

If you execute it, the following appears on your screen:

Hello World

Looking back at the program form an idea of what is happening… Try it before reading on.


The program prints messages, and there is only one line so that line must be a command to do so. Based on that, make a change to the program with a prediction that the new program will make Hello Paul (or perhaps your name) appear:

print "Hello Paul"

You execute it. It does. Now try a different change to the program:

print "Hello World"
print "Hello World"

What do you think it will do now? And so on…

You are working like a scientist, gradually building a theory based on experiment. As a good scientist you should look for changes that don’t just confirm your idea, but that will show you are wrong if you are, you want to stretch the edges of your understanding.

Once you have run out of experiments or are really stuck, then read (or listen to) the explanations. Now you have a solid basis to understand what they say. You know what they are talking about as you’ve seen it. You are also in a position to understand subtleties you have missed. If the explanations do tell you something you hadn’t worked out, go back and experiment with those aspects.

It is important that you don’t try and do too much in one go. Programs you start experimenting on should only be a little more complicated than you already understand. Changes you make should only be small and one at a time. If things go wrong, revert to a version that did work and you did understand.

Do this learning by experimentation with each new programming construct as you start to learn about it (having mastered the earlier ones first). Only read the explanations after you have experimented a little. You will understand and remember the explanations so much better that way round.

If you are a:

  • student
    • Don’t just rely on explanations, experiment with existing programs.
    • Don’t spend your time copying programs, spend it making small changes to existing programs and predicting what will happen.
  • teacher:
    • Encourage students to experiment and give them time to do so.
    • Provide a series of starting programs for them to experiment with.
    • Give them that code – don’t waste their time making them type it in.

Further Reading

A programming pedagogic framework that follows a similar investigative approach to this is PRIMM.

A difference is we advocate above a first stage of Run code first to start a PRIMM like cycle with new constructs. The most important point though in both is that reading and predicting code in an experimental cycle matters.

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Learning to Learn (to program): Mental Models Matter

Here is the next in our series of tips about learning to learn (to program).

TIP 5 :  Focus on mental models.

Paul Curzon, Queen Mary University of London

To get the best out of practice, when learning a skill, you need to have the right mental models. That is where knowledge and skill can work together in tandem. The right sort of knowledge can be used both to base skills on, and to hone them. Practicing the right skills can develop the right kind of knowledge. What you need are good mental models, good understanding, of what you are trying to do.

You must focus on developing the right knowledge, the right mental models, if you are to get the most out of practice.

As a novice programmer, the first and most important mental models are those of the different programming constructs.  How does a variable work? What does a while loop do?

People often think syntax (spelling, punctuation) is what you have to learn first to program and they focus on that and worry most about missing semicolons or whether things should be in capitals or not. Actually far more important to get right first is semantics (what the constructs do) and structure (how programs are organised). Worrying about trying to remember the words and symbols turns programming in to a rote learning task with no real understanding – and nothing to base the right sort of practice on. That’s the wrong thing to do.

It is vital to avoid this trap. Instead practice should be based on understanding the concepts. This has to be the big, early focus to learn the deep skills of programmers. If you do not understand what a programming construct does, you won’t be able to write programs using it…and it is really, really easy to misunderstand if all you have is a basic technical explanation.

Luckily, there are a series of ways to build the right mental models. The first step is to have good explanations, and then make sure you can explain those things in your own words. Explaining is a skill too. As a learner you can practice explaining yourself either in writing or to others. If in a group everyone can then benefit. We will talk about more good explanations in a later blog. You can also draw concept maps that show the way concepts link. More on that later too. For now though actively read explanations. Make notes of some kind as you go, then take a blank sheet and without the original try and write your own explanation.

Another important way to build accurate mental models is to practice reading programs and fragments of programs based on what understanding you do have, and try and predict what they do (then see if you are right). Treat programs as a mini-scientific experiment. Closely related to this is to trace (or dry run) programs. Here you act like a computer stepping through the program. More on this later too.

Notice these are skills too – the sub-skills we identified earlier – so you can practice them.

When you are stuck and do not understand a construct, when you cant write a program, can’t do the dry run and can’t predict what a program will do, it is easy to be dispirited. It doesn’t mean you can’t program though … it means you have just learnt something important – you have learn’t something you do not understand (yet). You’ve found something to work on. It just means you need to get a little bit of help. That might be from a teacher, from a good book or video, or another student (needing to practice their ability to explain), or possibly even the right, simpler exercise to try. You can understand and when you do you will have made another big step forward.

With the right mental models in place then you are in a much stronger position to practice all the programming sub-skills (including writing programs). You are also much more able to learn from your future mistakes.

It is absolutely vital you do focus on getting a clear understanding of the semantics. Then all your other practice will be so much more effective.

If you are a:

  • student
    • Focus on making sure you understand what each new construct does, then do lots of practice of all the sub-skills around until until you have mastered it.
  • teacher:
    • Make sure you make it clear to your students that understanding meaning matters, not memorising syntax.

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Learning to learn: Anyone can learn to …(program)

Paul Curzon, Queen Mary University of London

Tip 1: It is about effort not talent

So you want to learn (to program). The first and most important thing to realise is that with enough of the right kind of practice anyone can improve (and keep improving) at any skill (including programming). Our brains are amazing, they can just keep getting better if we do the right things.

Learning to program is not about talent. It is about effort and practicing enough in the right way.

There has been lots of research across lots of skills whether chess, violin playing, football, maths, english, swimming, memorising lots of random numbers… and the same result is found. Improving is not about innate talent. We all have wonderful brains. Genetics doesn’t stop anyone learning to be better. You can learn to program and you can get better and better.

Understanding this and putting it in to practice is called having a growth mind-set. Once you truly believe this and shake off the idea that some people are more talented than you, you have the keys to a new world of learning.

There is a rough rule. If you put in 10,000 hours of the right kind of practice then you too will be an expert – a wizard programmer. That is a lot, but then do that and people will call you a genius. Take it a step at a time. Practice for 10 hours and you will get better. Put in 10 more hours and you can improve more. Then put in 10 more and you can improve again. And so on. Put in 100 hours and you can be noticeably better. Then put in 100 more.

Shaking off the idea that other people are more talented is hard, especially when the person next to you seems to find it so much easier. Ignore them. They may have started before you; or done something previously that gave them a head start; or done more practice that you don’t know about, or have been practicing learning for longer, or … Don’t let them put you off. What they can do has no bearing on what you can do.

Also if other people tell you you have no talent, don’t let it get to you. They are just ignorant.  One day you can be great at it if you want to be badly enough and practice in the right way.

As a teacher, instilling a growth mind set in those you teach can help them do better too. Believe in every last student and research has shown they will do better, and improve more than if you don’t.

Learning is a skill to – so you can get better at it too with practice.

However, while working hard, putting in the time and effort matters, it is not enough. You need the right kind of practice. We will talk more about that in later tips.

If you are a:

  • student
    • Get in to the habit of whenever you find yourself saying “I cant …” or “I don’t understand…”, add on the end “…yet”. Practice doing it…
    • Constantly remind yourself that with practice you can get better, however hard it is now.
  • teacher:
    • Every time a student says “I cant …” or “I don’t understand…”, add on the end “…yet”.
    • Constantly remind your students: “It is not about talent. Anyone can learn to program. You can get better with practice.”

Further reading: Dweck, C, 2006, Mindset: How you can fulfil your potential: Constable & Robinson Ltd London

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Learning to learn (to program)

Paul Curzon, Queen Mary University of London

We all learn naturally but some ways of learning are more effective than others. Whether it is a skill or knowledge you want to learn there are good ways and bad ways. This blog series is about how to learn effectively.

Programming is a skill based on knowledge. Everyone in the digital age needs to learn at least a little of how to program. (If you want to you can learn a lot.) We will therefore use it as a source of examples, but the tips here are also about learning in general.

Learn to learn and you can be more effective at anything you put your mind to.

If you are a:

  • student: learn more effectively
  • teacher: help ensure you get the best of your students