The Professional Language Lab · AI, Learning & Education

AI in
Language Education

Beyond tool use. Towards critical, human-centred practice.

Artificial intelligence is already changing how language is taught, learned and assessed.

These tailored workshops help educators explore what that change actually means for language, learning and pedagogy — and decide what to do with it.

The question is not simply what AI can do for teaching. It is also what happens to teaching and learning when AI can do it.

AI is changing more than the tools we use.

AI tools are already present in classrooms, curriculum design, materials development, translation and assessment.

Yet discussions about AI in education often remain focused on which tools to use and how to use them.

We take a wider view. The important questions concern language, learning, teacher judgement, learner autonomy, assessment and the assumptions built into AI-generated language.

What changes when AI becomes part of the learning process?

The workshop invites participants to look beyond the immediate convenience of AI and examine its implications for language education.

Language

How does AI generate language, and what does apparently neutral or fluent output conceal about register, bias, standardisation and linguistic variation?

Learning

What happens when learners can generate, translate, explain, correct and receive feedback on demand?

Teaching

How does AI affect teacher authority, classroom interaction, feedback and the role of the teacher as a source of knowledge?

Assessment

What becomes harder to evaluate when the production of language can increasingly be shared with or generated by AI?

From understanding to practice.

The exact emphasis is adapted to the institution, participants and intended outcomes. A workshop may include the following areas:

01

AI and Language: What is actually happening?

An accessible exploration of how large language models generate text — and why fluent output should not be mistaken for neutral or authoritative language.

02

Linguistic Bias and AI Systems

How AI handles different languages, registers and varieties — and what may be flattened, overlooked or lost in apparently seamless output.

03

AI in the Classroom

What changes when AI becomes part of the learning process, including questions around feedback, learner behaviour, teacher roles and classroom interaction.

04

Designing Better Learning Tasks

Practical approaches to designing tasks in which AI can support learning without simply replacing the intellectual work the learner needs to do.

A clearer framework for making decisions about AI.

No standard package.

Every institution has a different context, audience and set of questions. The workshop is therefore adapted rather than delivered as a fixed programme.

Audience

Content and examples can be adapted for language teachers, trainers, programme coordinators, curriculum developers or leadership teams.

Focus

We can emphasise language, pedagogy, classroom practice, assessment, curriculum design or institutional questions.

Format

Online or in person, from a focused workshop to extended training or a multi-session programme.

For educators and organisations thinking seriously about AI.

The workshops are designed for professionals who do not simply want to add another AI tool to their toolkit, but want to understand the implications for language education and make informed decisions about practice.

  • Language teachers
  • Teacher trainers
  • Adult education providers
  • Teacher training institutions
  • Curriculum developers
  • Programme and education coordinators
  • Language organisations
  • Educational leadership teams

Let's explore what AI means for your context.

Tell us about your institution, your audience and the questions you are currently facing. We can develop a workshop around them.

Discuss a Workshop

Discuss a Workshop

Workshops are tailored to institutional needs, audience, context and intended outcomes.