Episode Description
AI can feel like a runaway train in classrooms and training programs—powerful, fast, and a little scary. We take the controls and show how to turn generative tools into true co-pilots: clear roles, simple guardrails, and small pilots that free us to focus on coaching, feedback, and real human connection.
You’ll hear role-based examples across K-12, higher education, and corporate learning: differentiated reading passages and exit tickets, outcome-aligned case prompts and quiz banks, and realistic scenario practice plus microlearning nudges for on-the-job performance.
Want to put this into action? Grab the pilot checklist from the show notes, try one workflow this week, and tell us what changed. If this helped, follow the show, share it with a colleague, and leave a review so more educators and L&D pros can build ethical, effective AI co-pilots.
🔗 Resources and Related Episodes:
If you’d like to explore today’s topic further, here are a few resources to check out:
📝 Interactive Resource
AI Copilot Pilot Checklist: A ready-to-use guide you can copy and adapt to your context. Use this template to plan, run, and debrief a small AI copilot pilot—from choosing one workflow and setting guardrails to defining success and capturing what you’ll keep, tweak, or toss.
📊 Research Report
2025 AI in Education: A Microsoft Special Report: This research report, produced by Microsoft, provides key insights into how AI is transforming nearly every aspect of our society worldwide.
🎧 Listen Next: Related Episodes
Episode 54: Beyond Learning Outcomes: Designing for Humans or Learners?: A practical look at human-centered design, focusing on how to move beyond check-the-box objectives and create learning experiences that serve real people, real needs, and real contexts.
Episode 79: Top Emerging Technologies Shaping Instructional Design: A tour of five emerging tools, including VR, AR, and MR, and how they’re reshaping the way we design for real-world skills and authe
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