A Teacher's Guide to AI Prompting

Excited to share my first guest post for the FACTS blog!

When we first interact with a large language model (LLM), such as ChatGPT, Gemini, or Claude, we see a standard input textbox. We might resort to our usual search queries, as if we were using Google or another search engine (shout-out to Ask Jeeves!). However, due to the construction of their model, the accumulation of their training data, and the tool’s neural networks, the skill of prompting is the key to unlocking better results.

Fortunately, following the advice of the Wongs and other strong pedagogical approaches prepares educators to prompt effectively. The more detailed instructions we provide to the LLM, the clearer the results we receive. Just as when we give a writing assignment to students, we want to ensure we detail the length, topic, basic construction, steps along the way, rubric for assessment, and even provide examples. Doing these for our AI tools will get our results closer to an A.

Read the rest at: A Teacher's Guide to AI Prompting.