What is rapid prototyping and how can it apply to the ELT classroom?

Nicole Kyriacou
A teacher stood in front of her class with her students raising their hands
Reading time: 5 minutes

Tom Chi is an internet veteran with quite a resumé. His roles have been many and varied – from astrophysical researcher to Fortune 500 consultant and corporate executive, developing new hardware and software products and services.

He worked on Microsoft Outlook when it was in its infancy, was a major influence in taking Yahoo Search from 0 to 90 million users and is now Head of Product Experience at Google X – Alphabet’s secretive division focused on creating technological innovations for the future. It has produced the self-driving car and Google Glass, and its Project Loon aims to provide internet to every square inch of the earth.

At Google X, Tom was in a unique position – always having to think five, ten or even more years ahead in order to conceptualize and build the technology of the future. As you might imagine, this is far from an easy task; not only do the ideas have to be original, but they have to meet people’s future needs – something that is not easy to predict.

So, how does Tom and the others at Google X deliver their vision for the future using today's materials and technology?

That’s where Rapid Prototyping comes in. It’s a concept that allows teams to experiment, learn and adjust prototypes quickly and cheaply, so that projects (and products) get off the ground. Failure is seen as a starting block and an inevitable part of the learning process. Following his workshop, we are going to look further at rapid prototyping and how it can relate to the ELT classroom.

Integrating rapid prototyping into ELT teaching
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What are the rules of rapid prototyping?

According to Tom, rapid prototyping follows four main principles:

Rule #1:

You must find the quickest path to experience. Ideas are nothing until they have been tested; prototyping is the quickest path to go from guessing into direct experience. You will soon see an idea’s strengths, weaknesses and potential once you have tried it.

Rule #2:

Doing is the best kind of thinking. People are very good at imagining things, but until we try them, we won’t know what works and what doesn’t. By actually doing something, we’ll come up with new ideas, new challenges and new solutions.

Rule #3:

Prototyping follows a distinct pathway: from conjecture, to experimentation, to results and finally decision-making.

Prototyping rule #4:

Prototyping helps us reason in time and space: instead of lots of planning, imagination and guesswork, it makes us build something real, considering real use cases and real situations.

How does rapid prototyping affect progress?

The rapid-prototyping learning loop follows this pattern:

  1. Building a variation
  2. Testing with customers
  3. Observing results
  4. Adjusting from results

This process allows us to increase the chances of success in any given project dramatically. For example, if an idea has a 5% chance of success, by trying it 20 times there is a 64% chance of success and by trying it 50 times, there is a 92% chance of success.

Considering that each time an idea is prototyped, learning takes place, the chances of success are likely even higher with every trial.

But wait, what has rapid prototyping got to do with the ELT classroom?

Tom shows how a technology giant like Google can innovate and produce results quickly and efficiently through rapid prototyping – and all the while, he is explaining how much faster learning is when we experiment and do things.

Encouraging project-based work

Of course, our students are not innovating or building new products for tech companies, they are aiming to learn a language. But as Tom said, learning by doing is much faster and more effective than simply conjecturing and talking about theories.

Following his first rule of prototyping (find the quickest path to experience), we need to give students the experience of using the language as fast as possible. Project and task-based learning allows students to build their vocabulary, and test their grammar and overall communications skills in an authentic way.

This also covers Tom’s second rule (doing is the best type of thinking). If we can tap into our students’ creativity, we can allow them to experiment with language, discover what they know and what they don’t know, and then really work on learning the things they need for certain tasks.

When it comes to Tom’s third rule (conjecture, experimentation, results, decision-making), the teacher has more responsibility. We need to look at how we benchmark, measure and analyze our learner’s progress. Without a pathway, our students will not know how they are progressing and may easily lose motivation. The students therefore need to have a firm idea of their abilities, when they need to learn and how they are currently performing. We can then make decisions regarding individual class plans and syllabi.

Finally, by exposing our students to authentic materials, we cover Tom’s fourth rule (reason in time and space). Authentic readings, listenings and videos give learners the opportunity to work with real-world language, trying out what they are learning in authentic contexts. It helps them imagine using the language outside of the safe environment of the classroom too, giving them the challenge they need to push them into learning faster.

Fostering a growth mindset

The very fact that Tom’s team is able to imagine and prototype what seem like impossible ideas – that then have the potential to change the world – is awe-inspiring.

We can all learn from his vision, tenacity and methodology. At the heart of the experimentation and learning at Google X lies a growth mindset.

If we help our students develop a growth mindset, they will see failure as an opportunity to learn, as well as a challenge as a chance to grow, and feedback as a constructive way to improve.

Learning is a dynamic process. As teachers, it’s important for us to look outside the world of education to find inspiration and ideas. We hope this has sparked your curiosity and added a dash of inspiration for your future classes.

Read our post 'Fostering critical thinking in the classroom' and the webinar 'Develop a growth mindset'.

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  • A young woman sat in a library with headphones around her neck reading a book

    Does progress in English slow as you get more advanced?

    By Ian Wood
    Reading time: 4 minutes

    Why does progression seem to slow down as an English learner moves from beginner to more advanced skills?

    The journey of learning English

    When presenting at ELT conferences, I often ask the audience – typically teachers and school administrators – “When you left home today, to start your journey here, did you know where you were going?” The audience invariably responds with a laugh and says yes, of course. I then ask, “Did you know roughly when you would arrive at your destination?” Again the answer is, of course, yes. “But what about your students on their English learning journey? Can they say the same?” At this point, the laughter stops.

    All too often English learners find themselves without a clear picture of the journey they are embarking on and the steps they will need to take to achieve their goals. We all share a fundamental need for orientation, and in a world of mobile phone GPS we take it for granted. Questions such as: Where am I? Where am I going? When will I get there? are answered instantly at the touch of a screen. If you’re driving along a motorway, you get a mileage sign every three miles.

    When they stop appearing regularly we soon feel uneasy. How often do English language learners see mileage signs counting down to their learning goal? Do they even have a specific goal?

    Am I there yet?

    The key thing about GPS is that it’s very precise. You can see your start point, where you are heading and tell, to the mile or kilometer, how long your journey will be. You can also get an estimated time of arrival to the minute. As Mike Mayor mentioned in his post about what it means to be fluent, the same can’t be said for understanding and measuring English proficiency. For several decades, the ELL industry got by with the terms ‘beginner’, ‘elementary’, ‘pre-intermediate’ and ‘advanced’ – even though there was no definition of what they meant, where they started and where they ended.

    The CEFR has become widely accepted as a measure of English proficiency, bringing an element of shared understanding of what it means to be at a particular level in English. However, the wide bands that make up the CEFR can result in a situation where learners start a course of study as B1 and, when they end the course, they are still within the B1 band. That doesn’t necessarily mean that their English skills haven’t improved – they might have developed substantially – but it’s just that the measurement system isn’t granular enough to pick up these improvements in proficiency.

    So here’s the first weakness in our English language GPS and one that’s well on the way to being remedied with the Global Scale of English (GSE). Because the GSE measures proficiency on a 10-90 scale across each of the four skills, students using assessment tools reporting on the GSE are able to see incremental progress in their skills even within a CEFR level. So we have the map for an English language GPS to be able to track location and plot the journey to the end goal.

    ‘The intermediate plateau’

    When it comes to pinpointing how long it’s going to take to reach that goal, we need to factor in the fact that the amount of effort it takes to improve your English increases as you become more proficient. Although the bands in the CEFR are approximately the same width, the law of diminishing returns means that the better your English is to begin with, the harder it is to make further progress – and the harder it is to feel that progress is being made.

    That’s why many an English language-learning journey gets abandoned on the intermediate plateau. With no sense of progression or a tangible, achievable goal on the horizon, the learner can become disoriented and demoralised.

    To draw another travel analogy, when you climb 100 meters up a mountain at 5,000 meters above sea level the effort required is greater than when you climb 100 meters of gentle slope down in the foothills. It’s exactly the same 100 meter distance, it’s just that those hundred 100 meters require progressively more effort the higher up you are, and the steeper the slope. So, how do we keep learners motivated as they pass through the intermediate plateau?

    Education, effort and motivation

    We have a number of tools available to keep learners on track as they start to experience the law of diminishing returns. We can show every bit of progress they are making using tools that capture incremental improvements in ability. We can also provide new content that challenges the learner in a way that’s realistic.

    Setting unrealistic expectations and promising outcomes that aren’t deliverable is hugely demotivating for the learner. It also has a negative impact on teachers – it’s hard to feel job satisfaction when your students are feeling increasingly frustrated by their apparent lack of progress.

    Big data is providing a growing bank of information. In the long term this will deliver a much more precise estimate of effort required to reach higher levels of proficiency, even down to a recommendation of the hours required to go from A to B and how those hours are best invested. That way, learners and teachers alike would be able to see where they are now, where they want to be and a path to get there. It’s a fully functioning English language learning GPS system, if you like.