AI in Language Teaching: What Works in Class

AI chatbots such as ChatGPT help language teachers most in the preparation phase: adapting a text to a specific level, generating example sentences, drafting exercises, model answers or rubrics in minutes. In the classroom, they work best as a clearly framed tool with a defined role, not as an open answer machine. The teacher stays responsible for every text that reaches learners, because AI output can be wrong, unnatural or biased, and data protection rules apply to every use with learners.

Where AI helps in preparation

Task	How AI can help	What you must check
Adapting texts	Simplify or enrich a text for A2, B1, B2	Accuracy of content, natural language, level fit
Example sentences	Many examples for a structure or word in context	Correctness, typical collocations, cultural fit
Exercises	Draft gap fills, matching pairs, comprehension questions	Unambiguous answers, plausible distractors
Model texts	Emails, dialogues, opinion texts as models	Register, length, realistic content
Rubrics	First draft of criteria and band descriptors	Alignment with your curriculum and CEFR level
Differentiation	Same content in two or three levels of difficulty	Same core information in all versions

Our collection of ChatGPT prompts for language teachers contains ready-to-adapt prompts for these tasks.

Where AI helps in class

A conversation partner with a role

Learners practise a dialogue with an AI that plays a specific role (a receptionist, a shop assistant, a new classmate). The key is a precise setup: level, role, task, and an instruction to keep answers short and ask questions. Afterwards, learners reflect on useful phrases and difficulties.

A text to evaluate

Generate an AI text with deliberate weaknesses (or simply a mediocre answer to a task) and let learners improve it with a checklist. This trains critical reading and revision skills without anyone’s own text being exposed.

Comparing with a model

After learners write their own text, they compare it with an AI-generated version: What did the AI do better? What did they do better? Which phrases would they adopt? This works best from B1 upwards.

Feedback support

AI can give quick feedback on drafts, for example focusing on one criterion. Whether this is appropriate for learner use depends on data protection and age rules (see below). For more on feedback types, see our guide to feedback in digital exercises.

Limits you should know

• Errors and hallucinations. AI can invent facts, sources and grammar rules with full confidence.
• Unnatural language. Texts are often fluent but generic; collocations or register may be slightly off.
• Bias. Stereotypical representations of countries, genders or professions occur and need checking.
• Level control. Simplified texts are not always at the requested CEFR level. Check vocabulary and sentence length.
• Over-reliance. If learners outsource writing to AI, they practise prompting rather than language.

Data protection and age requirements

This is not legal advice, but a few points apply in most European school contexts:

• Provider terms: according to OpenAI’s terms of use (as of October 2026), users must be at least 13, and under-18s need permission from a parent or guardian. Other providers have their own rules.
• No personal data: never enter learners’ names, grades, health information or identifiable texts into a general AI service.
• School approval: many schools and education authorities specify which AI services may be used with learners and under which conditions. Some provide their own data-protection-compliant access. Check with your school before learner use.
• Transparency: tell learners and, where relevant, parents how and why AI is used.

A framework for classroom rules

Instead of a blanket ban or free use, many teachers define levels of permitted AI use per task:

1. No AI: the task trains a skill that needs to be done independently (for example a timed in-class text).
2. AI for ideas: brainstorming allowed, writing by the learner.
3. AI for feedback: learners write, then use AI for feedback, and document what they changed.
4. AI as part of the task: the task includes working with AI output (evaluating, improving, comparing).

Making the level visible on every task sheet reduces uncertainty for everyone.

AI and differentiation

One of the most practical uses is creating parallel versions of material for mixed-ability groups. Our guide to differentiation shows how to combine this with other strategies. If you then want to turn AI-drafted items into interactive exercises, our comparison of interactive exercise tools helps you choose a platform.

Your next step

Pick one text from your next unit and ask an AI tool to produce two additional versions at different levels. Check them carefully, note what you had to correct and decide whether the time saved was worth it. That honest test tells you more than any general recommendation. Further guides on digital tools are in the tools section.