What if every answer your adaptive quiz generates added another gram of CO₂ to the atmosphere. Would you still call it “paperless progress”?
AI-driven assessment promises instant feedback and richer data, yet its hidden energy hunger threatens the very future our students are being tested for. In this webinar we connect the dots between back-end model calls, front-end dashboards and real-world emissions. You’ll learn to weigh accuracy against energy, redesign workflows for minimal computation, and set climate-aligned metrics that belong in every assessment policy. Let’s make evidence-based learning truly sustainable.
🎤 Guest Speaker: Rita Bateson
An experienced educator and advocate for sustainable practice in assessment, Rita brings a sharp lens to AI’s role in reshaping learning — and what it means for the future of ethical and environmentally responsible education.
Takeaways
- Audit carbon costs of AI assessment tools
- Balance validity, reliability, and energy use in scoring designs
- Optimise prompts, batching and caching to cut compute cycles
- Embed climate accountability in school assessment policies
