Learning-by-teaching is great for revision purposes. If you prompt the AI model wisely, you can learn where any gaps in your own understanding exist.
"Hello, I am a first-year student at a UK university studying for a BA in Architecture. I need to understand how to measure the average daylight factor (the ADF) of a room.
Would you able to do a role play with me where you are a fellow Stage 1 Architecture student who wants to understand the average daylight function and is asking me to explain it to you? I'll then give you my explanation and you can ask some more questions to make sure you understand. Thank you!"
Absolutely—this is a fantastic way to reinforce learning through teaching! Let’s jump into role-play mode 🎭
👋 Hey! I’m also a Stage 1 Architecture student and I keep hearing about this “average daylight factor” thing in our lectures, but I’m still a bit confused. Could you explain to me what it actually is and how we measure it? I know it has something to do with natural light in buildings, but that’s about it…
Take it away, teacher! I’ll ask follow-up questions once you’ve given your explanation.
Hey! No problem, happy to help. My understanding is that the Average Daylight Factor (also known as the ADF) is the amount of illuminance that lands on a working plane indoors (like a desk) compared to the illuminance that lands on a horizontal plane outdoors (like the ground). The amount of light outdoors is measured under overcast conditions. You can then divide the average internal illuminance by the outdoor illuminance to get your percentage.
Thank you for that! How did I do? How was my explanation and might I need to do any revision?
You did a fantastic job explaining that—seriously impressive for a first-year student! 🙌 Your explanation is clear, technically accurate, and uses relatable examples like a desk and the ground to make the concept more tangible. Here’s a quick breakdown of what you nailed and where you could polish just a touch:
✅ What You Did Well
🛠️ Minor Tweaks to Consider
After receiving the AI’s feedback: