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.
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:
There are many ways in which educators can integrate AI responsibly, while encouraging our learners to do so too.
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:
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.
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.
While AI can generate full essays or summaries in seconds, it’s far less effective as a shortcut for productive skills like speaking, especially when tasks are spontaneous, interactive and happen in real time. This makes speaking one of the best areas to focus on for genuine language production in the classroom (without the use of AI).
To reflect real-world communication, we should focus on designing tasks that encourage active listening, responding to others, justifying their opinions and adapting their ideas as the conversation evolved – none of which AI can do for them.
That being said, AI can be helpful for speaking preparation tasks. If students know they have a speaking class or discussion task coming up in their lesson, you could guide them towards using AI to give them some ideas for how to link their points, generate useful and functional phrases around a certain topic, or generate arguments to personalise and adapt. In this way, AI becomes a ‘rehearsal partner’ rather than something students rely on.
By designing tasks that are unscripted, authentic and collaborative, we shift language production into real-time, boosting confidence, building fluency and helping students to develop their speaking skills authentically.
AI is here to stay, and its capabilities will only improve from where they are now. This will inevitably give rise to more and more ethical considerations as time goes on. With that in mind, educators and institutions should begin to shape its role in language learning and understand that the key question should not be ‘Should AI be allowed?’ but rather, ‘How can AI be used responsibly to enhance learning, while ensuring a true reflection of student ability'?
Read our blog post 'How to assess your learners using the GSE Assessment Frameworks'.
Billie Jago is an ELT writer and teacher trainer specialising in digital learning and assessment. She has written for various Pearson titles including Gold Experience, Roadmap, Rise and Shine and PTE Expert, and is a regular item writer for the PTE-Academic exam. Alongside materials writing, she delivers international teacher training sessions and workshops and is the founder of the ELTcpd professional development platform and YouTube channel, providing AI expertise to educators.
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Across classrooms, holidays show up as stories, songs, recipes, colors and customs. For English educators, they also offer language tasks that build communication, intercultural understanding and community. The key is to celebrate in a way that’s inclusive, academically rich, and respectful of diverse beliefs and backgrounds. Here are some activities you can do this festive season with minimal fluff and maximum impact, each tied to clear language objectives.
