AI in Practice Adapted Student Texts
I used AI to remove access barriers while keeping students in the same core lesson: adapting a credible source to a more accessible reading level and generating multilingual versions that preserved the original document’s structure. The key design choice was correspondence — students could work with the same ideas, line numbers, and prompts as the rest of the class rather than being shifted to a separate task.
ProcessTrial and error, driven by a real constraint: students needed different reading levels and languages, and I couldn’t adapt multiple versions of the same assignment every night.
An American Civil War Museum article was rewritten to Lexile 650 so students reading below grade level could engage with the same historical content.
Prompt: “Revise this text to Lexile 650.”
A reusable prompt produced English, Spanish, Arabic, and French versions with matching paragraphs, line numbers, and response spaces so students could follow whole-class instruction in real time.
Prompt: “Open in Canvas and create a document. Please translate this assignment into Spanish, Arabic, and French. I want all three languages on the exact same document. Stack the translations paragraph-by-paragraph (English, then Spanish, then Arabic, then French). Please keep the formatting exact, including (for example) all line breaks, line numbers and my blank question spaces. Here is the text:”
