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. Ìý

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.

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    AI can be highly beneficial to language education by enhancing our students’ process of learning, rather than simply being used by students to ‘demonstrate’ a product of learning. However, this is easier said than done, and given that AI is an innovative tool in the classroom, it is crucial that educators help students to maintain authenticity in their work and prevent AI-assisted ‘cheating’. With this in mind, striking a balance between AI integration and academic integrity is critical.

    How AI impacts language learning

    Generative AI tools such as ChatGPT and Gemini have made it easier than ever for students to refine and develop their writing. However, these tools also raise concerns about whether submitted texts are student-produced, and if so, to what extent. If students rely on text generation tools instead of their own skills, our understanding of our students’ abilities may not reflect their true proficiency.

    Another issue is that if students continue to use AI for a skill they are capable of doing on their own, they’re likely to eventually lose that skill or become significantly worse at it.

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    • How can educators differentiate between genuine student ability and AI-assisted responses?

    AI-integration strategies

    There are many ways in which educators can integrate AI responsibly, while encouraging our learners to do so too.

    1.ÌýRedesign tasks to make them more ‘AI-resistant’

    No task can be completely ‘AI-resistant’, but there are ways in which teachers can adapt coursebook tasks or take inspiration from activities in order to make them less susceptible to being completed using AI.

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    • Adapt writing tasks to be hyperlocal or context-specific. Generative AI is less likely to be able to generate texts that are context-bound. Focus on local issues and developments, as well as school or classroom-related topics. A great example is having students write a report on current facilities in their classroom and suggestions for improving the learning environment.
    • Focus on the process of writing rather than the final product. Have students use mind maps to make plans for their writing, have them highlight notes from this that they use in their text and then reflect on the steps they took once they’ve written their piece.
    • Use multimodal learning. Begin a writing task with a class survey, debate or discussion, then have students write up their findings into a report, essay, article or other task type.
    • Design tasks with skill-building at the core. Have students use their critical thinking skills to analyse what AI produces, creatively adapt its output and problem solve by fact-checking AI-generated text.

    2.ÌýUse AI so that students understand you know how to use it

    Depending on the policies in your institution, if you can use AI in the classroom with your students, they will see that you know about different AI tools and their output. A useful idea is to generate a text as a class, and have students critically analyse the AI-generated text. What do they think was done well? What could be improved? What would they have done differently?

    You can also discuss the ethical implications of AI in education (and other industries) with your students, to understand their view on it and better see in what situations they might see AI as a help or a hindrance.

    3.ÌýUse the GSE Learning Objectives to build confidence in language abilities

    Sometimes, students might turn to AI if they don’t know where to start with a task or lack confidence in their language abilities. With this in mind, it’s important to help your students understand where their language abilities are and what they’re working towards, with tangible evidence of learning. This is where the GSE Learning Objectives can help.

    The Global Scale of English (GSE) provides detailed, skill-specific objectives at every proficiency level, from 10 to 90. These can be used to break down complex skills into achievable steps, allowing students to see exactly what they need to do to improve their language abilities at a granular level.

    • Start by sharing the GSE Learning Objectives with students at the start of class to ensure they know what the expectations and language goals are for the lesson. At the end of the lesson, you can then have students reflect on their learning and find evidence of their achievement through their in-class work and what they’ve produced or demonstrated.
    • Set short-term GSE Learning Objectives for the four key skills – speaking, listening, reading and writing. That way, students will know what they’re working towards and have a clear idea of their language progression.
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    As English teachers, we’re usually the ones helping others grow. We guide learners through challenges, celebrate their progress and push them to reach new heights. But what about our own growth? How do we, as educators, continue to develop and refine our practice?

    The Global Scale of English (GSE) is often seen as a tool for assessing students. However, in my experience, it can also be a powerful guide for teachers who want to become more intentional, reflective, and confident in their teaching. Here's how the GSE has helped me in my own journey as an English teacher and how it can support yours too.

    About the GSE

    The GSE is a proficiency scale developed by ÃÛÌÒapp. It measures English ability across four skills – listening, speaking, reading and writing – on a scale from 10 to 90. It’s aligned with the CEFR but offers more detailed learning objectives, which can be incredibly useful in diverse teaching contexts.

    I first encountered the GSE while exploring ways to better personalize learning objectives in my Business English classes. As a teacher in a non-formal education setting in Indonesia, I often work with students who don’t fit neatly into one CEFR level. I needed something more precise, more flexible, and more connected to real classroom practice. That’s when the GSE became a turning point.

    Reflecting on our teaching practice

    The GSE helped me pause and reflect. I started reading through the learning objectives and asking myself important questions. Were my lessons really aligned with what learners at this level needed? Was I challenging them just enough or too much?

    By using the GSE as a mirror, I began to see areas where I could improve. For example, I realized that, although I was confident teaching speaking skills, I wasn’t always giving enough attention to writing development. The GSE didn’t judge me. It simply showed me where I could grow.

    Planning with purpose

    One of the best things about the GSE is that it brings clarity to lesson planning. Instead of guessing whether an activity is suitable for a student’s level, I now check the GSE objectives. If I know a learner is at GSE 50 in speaking, I can design a role-play that matches that level of complexity. If another learner is at GSE 60, I can challenge them with more open-ended tasks.

    Planning becomes easier and more purposeful. I don’t just create lessons, I design learning experiences that truly meet students where they are.

    Collaborating with other teachers

    The GSE has also become a shared language for collaboration. When I run workshops or peer mentoring sessions, I often invite teachers to explore the GSE Toolkit together. We look at learning objectives, discuss how they apply to our learners, and brainstorm ways to adapt materials.

    These sessions are not just about theory: they’re energizing. Teachers leave with new ideas, renewed motivation and a clearer sense of how to bring their teaching to the next level.

    Getting started with the GSE

    If you’re curious about how to start using the GSE for your own growth, here are a few simple steps:

    • Visit the GSE Teacher Toolkit and explore the learning objectives for the skills and levels you teach.
    • Choose one or two objectives that resonate with you and reflect on whether your current lessons address them.
    • Try adapting a familiar activity to better align with a specific GSE range.
    • Use the GSE when planning peer observations or professional learning communities. It gives your discussions a clear focus.

    Case study from my classroom

    I once had a private Business English student preparing for a job interview. Her speaking skills were solid – around GSE 55 – but her writing was more limited, probably around GSE 45. Instead of giving her the same tasks across both skills, I personalized the lesson.

    For speaking, we practiced mock interviews using complex questions. For writing, I supported her with guided sentence frames for email writing. By targeting her actual levels, not just a general CEFR level, she improved faster and felt more confident.

    That experience reminded me that when we teach with clarity, learners respond with progress.

    Challenges and solutions

    Of course, using the GSE can feel overwhelming at first. There are many descriptors, and it can take time to get familiar with the scale. My advice is to start small: focus on one skill or one level. Also, use the Toolkit as a companion, not a checklist.

    Another challenge is integrating the GSE into existing materials, and this is where technology can help. I often use AI tools like ChatGPT to adjust or rewrite tasks so they better match specific GSE levels. This saves time and makes differentiation easier.

    Teachers deserve development too

    Teaching is a lifelong journey. The GSE doesn’t just support our students, it also supports us. It helps us reflect, plan, and collaborate more meaningfully. Most of all, it reminds us that our growth as teachers is just as important as the progress of our learners.

    If you’re looking for a simple, practical, and inspiring way to guide your professional development, give the GSE a try. It helped me grow, and I believe it can help you too.

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