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AI is revolutionising every industry, and language learning is no exception. AI tools can provide students with unprecedented access to things like real-time feedback, instant translation and AI-generated texts, to name but a few.

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.

These points create a significant ethical dilemma:

• How does AI support learning, or does it (have the potential to) replace the learning process?
• 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.��Redesign 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.

For example:

• 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.��Use 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.��Use 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.

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 ����app. 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.

Additional resources

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• ����app Languages GSE Blogs
  

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.