Set clear rules for AI in your Transition Year class and teach students to use it well.
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11 lessons, 40 to 45 minutes each. Take them in order, whenever suits you.
Two lessons that establish three things: an honest map of where you are starting from (the confidence audit); a working understanding of what TY students actually do with AI today and what the NCCA TY Programme Statement asks of you; and a productive mindset for teaching a topic that is moving faster than any teacher can keep up with on their own.
Two lessons that build the conditions for everything else to work: a sensible classroom AI use policy that you can actually enforce, and a Class AI Charter co-designed with your students so that the rules feel like theirs, not a pasted-in school document. These two artifacts become the foundation Modules 3, 4 and 5 build on.
Three lessons covering the practical assessment-design problem at the heart of TY AI delivery: which tasks should be designed so AI cannot easily do them (AI-robust), which should deliberately invite AI use as part of the learning (AI-friendly), why detection tools are not the answer, and how to assess TY projects in a portfolio-led, disclosure-led culture.
Two lessons covering the content TY students most need from you: how to evaluate AI output critically (hallucination, training-data bias, missing sources, image and audio deepfakes) and how to talk to TY students about AI in a way that is neither breathless hype nor doom-scroll fear.
Two lessons that close the course. The first treats AI literacy as a cross-curricular project, connecting the conversation a student has in Exploring AI (or in your subject-embedded module) to what their other TY teachers say. The second synthesises everything into your TY AI Year Plan and the final reflection.
11 short lessons, at your own pace, with a certificate at the end.
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