Ask AI to generate the questions a beginner would actually ask about your topic — it can surface the gaps, confusions, and concerns your students have before they ever enroll.
Yes — AI can generate a structured resource list for any course topic, organized by type and experience level, which you then verify and curate before sharing with students.
Ask AI to identify the research or evidence base behind the concepts you teach — it can point you to relevant fields, key studies, and frameworks that give your content stronger credibility.
AI can give you a strong conceptual foundation on unfamiliar topics, but it cannot replace lived experience, verify its own accuracy on specific claims, or catch outdated information without your review.
Ask AI to separate established consensus from popular belief on your topic — it can flag which claims have strong research support and which are widely held but evidence-light.
Yes — AI can summarize articles, studies, and book chapters into plain-language teaching points that you can use directly in lessons, as long as you paste the original text into the prompt rather than asking AI to recall it from memory.
Verify AI research by treating it as a first draft: check any specific statistics or citations against the original source, and test claims against your own professional experience before teaching them.
The best approach is to prompt AI with the specific learning objective of the module, ask for a structured summary of key concepts, then follow up for examples, misconceptions, and gaps your students typically face.
Yes — AI can summarize what's changed in a fast-moving field and flag which updates are relevant to your course, so you stay informed without reading every article yourself.
Use AI as a structured research assistant — give it a specific question to answer, ask for a summary of key points, and build your course from those summaries rather than drowning in raw sources.