AI and other new technologies bring real opportunities for teaching, but it is not always easy to know which tools are genuinely useful and which just look impressive in a demo. This course takes a look at both sides: what AI can really do for adult education and where the worry is bigger than the evidence.
You will try tools yourself and see how they can support differentiation, engagement, feedback, and skill development in your own subject, from language learning to vocational training, while saving you real planning time. We will also talk about the risks: relying on AI too much, bias built into the tools, and the growing gap between learners who feel comfortable using AI and those who do not.
AI is already changing how learners complete their work, and many traditional ways of checking learning no longer show you what a learner can actually do without help. We will examine how to adapt assessment and self-assessment for this unfamiliar landscape, protecting learner autonomy and critical thinking. Additionally, we will address how to teach responsible AI use instead of disregarding it.
By the end of the three days, you will leave with evidence-informed strategies and ready-to-use activities you can bring into your next class straight away, and your own clear position on how much to use AI in your teaching.
• Day 1: What AI can really do for adult education, and where the worry is bigger than the evidence
• Day 2: Hands-on work with tools that support differentiation, engagement, and feedback in your
own subject
• Day 3: Rethinking assessment and self-assessment for the AI era; learner autonomy, critical
thinking and writing your own guidelines
