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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.

With language learning, assessing both the quality and the quantity of language use is crucial for accurate proficiency evaluation. While evaluating quantity (for example the number of words written or the duration of spoken production) can provide insights into a learner's fluency and engagement in a task, it doesn’t show a full picture of a learner’s language competence. For this, they would also need to be evaluated on the quality of what they produce (such as the appropriateness, accuracy and complexity of language use). The quality also considers factors such as grammatical accuracy, lexical choice, coherence and the ability to convey meaning effectively.

In order to measure the quality of different language skills, you can use the Global Scale of English (GSE) assessment frameworks.

Developed in collaboration with assessment experts, the GSE Assessment Frameworks are intended to be used alongside the GSE Learning Objectives to help you assess the proficiency of your learners.

There are two GSE Assessment Frameworks: one for adults and one for young learners.

What are the GSE Assessment Frameworks?

• The GSE Assessment Frameworks are intended to be used alongside the GSE Learning Objectives to help teachers assess their learners’ proficiency of all four skills (speaking, listening, reading and writing).
• The GSE Learning Objectives focus on the things a learner can do, while the GSE Assessment Frameworks focus on how well a learner can do these things.
• It can help provide you with examples of what proficiencies your learners should be demonstrating.����
• It can help teachers pinpoint students' specific areas of strength and weakness more accurately, facilitating targeted instruction and personalized learning plans.
• It can also help to motivate your learners, as their progress is evidenced and they can see a clear path for improvement.

An example of the GSE Assessment Frameworks

This example is from the Adult Assessment Framework for speaking.

As you can see, there are sub-skills within speaking (and��for the other three main overarching skills – writing, listening and reading). Within speaking, these are��production��and��fluency, spoken interaction, language range and��accuracy.

The GSE range (and corresponding CEFR level) is shown at the top of each column, and there are descriptors that students should ideally demonstrate at that level.

However, it is important to note that students may sit across different ranges, depending on the sub-skill. For example, your student may show evidence of GSE 43-50 production and fluency and spoken interaction, but they may need to improve their language range and accuracy, and therefore sit in a range of GSE 36-42 for these sub-skills.

Being an English language teacher means you’re also probably (definitely) a materials writer. You likely tailor or create language materials for your students that are suited to their needs and interests, either as supplements to your course materials or for communicative lessons. Alternatively, you might be a teacher who creates paid, published materials available for students worldwide to enjoy.

With this in mind, think of the materials you’ve developed and ask yourself the following:

• How do you level your grammar or vocabulary for the content you write?
• How do you find topic-related vocabulary to extend your students’ knowledge of language?
• How do you contextualize new grammar or vocabulary?

You can use many different resources, from online dictionaries to course workbooks to a Google search. Still, the Global Scale of English is a reference that provides everything you need to write great learning materials, all in one place. It can help save you valuable time as a teacher and materials writer.

For me, the GSE was a game changer as an English teacher, and it continues to be as I write materials. The GSE is not just a tool; it’s a companion in the complex journey of material development, offering clarity and direction at every step. It can guide you in creating effective, engaging learning resources.

How to use the GSE toolkit to create your own materials

1. Establishing clear Learning Objectives

helps you start with a clear roadmap. It provides detailed descriptors for language proficiency at every level, ensuring your materials align with specific learning objectives. For instance, if you’re creating a beginner-level reading comprehension activity, the GSE descriptors will guide you on the appropriate complexity of vocabulary and sentence structures.

Take a look at the Learning Objectives tab in the GSE Toolkit to learn more.

2. Designing level-appropriate content

Once objectives are set, the GSE assists in tailoring the content difficulty to the targeted proficiency level. Its numerical scale, ranging from 10 to 90, allows you to pinpoint the exact level of language skills required and design your materials accordingly. This precision ensures that learners are neither overwhelmed nor under-challenged.

You can set the level you are looking for by sliding the bar along the scale, so it corresponds to the appropriate CEFR level or GSE range.