Prompting is a core skill for modern learning designers. The clearer your request, the better the AI will perform. Define your outcome, specify the output format, add detail and context, provide examples and iterate if needed. AI tools work best when we treat them as collaborators. Everyone’s use of AI will vary, and there is no one perfect way to prompt. What matters is that you refine your approach over time, keep learning and focus on making the output genuinely useful for your work and your learners.

Self-led quality control is about taking ownership of learning design standards before issues reach learners. Rather than relying on external reviewers or waiting for feedback from frustrated users, designers can use structured checks to improve clarity, accessibility, flow, engagement and alignment. This blog post outlines why quality matters, how to make it part of your workflow, and what to look for at different stages of course development.

Great online learning doesn’t happen by accident. It’s the result of intentional design; aligning content, outcomes, activities, and experience. But for many educators using Moodle, that design support isn’t always available. You're juggling course editing with content creation, assessment design and learner support, mostly without dedicated learning design support. That’s where the Course Companion comes in. It brings expert support directly into your Moodle course - for educators, SMEs, and teams to improve learning experiences at the exact moment they’re building them.