Effective prompt engineering for education requires an iterative process where educators work together to refine prompts to avoid generic or low-quality feedback.

“The first one definitely was this idea of generic feedback. If we didn't actually give it what you know, Claude or or Gem the the correct way in which we were thinking about giving feedback, it was just so generic like, "Great job."”

The focus in AI development has shifted from simple prompt engineering to context engineering, such as providing models with the right tools and data.

“I think the name of the game now is is less on like prompt engineering. as we had thought about it two years ago. It's more of like it's like the context engineering side where it's like what are the tools you give it? What is like the data that it pulls in?”

Effective prompts for AI require assigning a specific role, using trusted data sources, and providing a clear, step-by-step structure.

“The clearer you can be with the instructions you wanted to follow, the better the information you will get back.”