Keeping the human edge in an algorithmic age
AI is a partner, not a proxy
I’ve tested AI tools across course design, feedback loops, and learning analytics. They’re fast, scalable, and occasionally brilliant. But they still don’t understand nuance. AI can suggest a quiz, it can’t read a learner’s frustration. It can tag learning objectives, but not reframe them in language that inspires. In short, AI does pattern. People do meaning. And right now, that gap still matters.
Human insight builds learning that lands
I once used an AI tool to auto-generate course outlines. They looked sharp, but when we tested them with learners, they missed tone, pacing, and relevance. We kept the bones, but had to rewrite for clarity and connection. The real win was combining AI’s speed with a human filter for empathy and impact. That’s where I see the future, not automation, but augmentation.
Takeaway
AI can boost learning delivery, but people still craft the experience that connects.
Discussion Prompt
Where has AI helped, or hindered, your work in learning or design?
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