back to the handbook

text curation

Reviewed June 2026

AI helps us curate rich (inter)disciplinary text sets to deepen and extend students' learning. The four frameworks below give us a way to organize those selections. Run each one to see how it shapes the request, using a worked example.

Generated Text
Generated Text
Generated Text
Generated Text
Core Text

sunburst

Prompt: What are supplementary texts that can enhance, extend, or challenge the ideas in [insert core text title here]? Provide examples from art, music, film, and popular culture as well as academic texts.

Generated Text
Generated Text
Theme

duet

Prompt: What are two texts that provide a contrasting view on [insert topic, theme, or phenomena here]?

Generated Other Texts
Generated Sources of Core Text
Core Text

tree ring

Prompt: Provide a list of sources that would help students understand the sources used by [insert name here] to write [insert text here].

Generated Text
Generated Text
Generated Text
Generated Text
Topic or Theme

solar system

Prompt: Provide a list of texts from a variety of genres and modes that are related to [insert topic, theme, novel, phenomena, etc.].

Cappiello, M.A. & Dawes, T.E. (2021). Text Sets in Action: Pathways Through Content Area Literacy. Stenhouse Publishers.

back to the handbook