Season 1 Episode 22
This episode of Teachers AI Cafe introduces the RACE prompt framework, designed to create clear, consistent, and useful AI responses for educators. The framework stands for Role, Action, Context, and Execute, and aims to transform vague AI prompts into precise instructions, easing the cognitive load on teachers. The episode illustrates the application of RACE to different teaching contexts, such as creating lesson plans, providing feedback, and adapting resources. Practical examples include designing a medieval history lesson and crafting role-play activities for ESL students. Additional tips address common pitfalls when using the RACE method and emphasize the importance of aligning prompts with Bloom's taxonomy.
00:00 Introduction to the RACE Framework
00:49 Welcome to the Teachers AI Cafe
01:06 Understanding the RACE Framework
01:37 Breaking Down the RACE Components
02:50 Creating Effective Prompts with RACE
03:41 Practical Examples of RACE Prompts
05:03 Using RACE for Feedback and Marking
08:22 Adapting Resources with RACE
09:22 Common Pitfalls and Quick Fixes
10:25 Conclusion and Next Steps
Find the YouTube version of this here
Go to this Facebook group to access the cheatsheet
https://www.facebook.com/groups/learnaiforteachers/
Email: kane@learnaiquickly.com
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Published on 2 months, 3 weeks ago
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