Learn Prompt Engineering: Difference between revisions
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Revision as of 17:41, 25 February 2025
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| Summary | A general prompt engineering resource for faculty |
| Author | Maintained by Matthijs van Mierlo |
| Help | Get help with this article |
| Status | Up-to-date for the 2024-2025 school year. |
đĨī¸ Prompt Engineering Resources
Google has extensive resources for prompt engineering found here: Prompt Engineering Resources (Google)
If you have questions about prompt engineering, start by browsing the link above.
Remember, for general prompt engineering:
- Be specific
- Be even more specific đ
- Give context in the prompt related to:
- Resources the prompt should refer to (attachments, text blocks, images, etc.)
- The type and length of output (table, lesson plan, CSV format)
- The tone of the output (informal, scientific, analytic)
- Iteratively revise your prompts!
More prompt engineering resources can be found here:
- Prompt Engineering for Educators Webinar and the Prompt Engineering Library
- Learn Prompting (from learnprompting.org)
- Google AI for Educators Self-Paced Course
As always, if you have further questions about prompt engineering for your work at Riverdale, feel free to submit a tech ticket by emailing support-ticket@riverdale.edu.
đ Practical Prompts for Faculty
Prompt engineering is an essential skill for educators using AI tools like ChatGPT, Google Gemini, Meta AI, or other tools recommended by Riverdale. By crafting effective prompts, teachers can enhance lesson plans, differentiate instruction, develop rubrics, and frame feedback more precisely. Some example prompts are below.