Resumen
Generative artificial intelligence (GenAI) tools such as ChatGPT, Gemini, and Claude are transforming instructional design, yet most PK–12 educators lack effective strategies for engaging with them. To address this gap, we developed the CRAFT framework—a teacher-centered model for GenAI prompt design that emphasizes Context, Role, Audience, Format, and Tone. CRAFT translates principles from prompt engineering, instructional design, and Universal Design for Learning into a practical structure aligned with teachers’ professional planning language. We implemented the framework in a professional development program with 94 PK–6 teachers who used GenAI to create lessons integrating computational thinking. Their 688 prompts and AI-generated responses were coded across 30 analytical features representing critique, launch behaviors, refinements, and supplemental material generation. Findings suggest that CRAFT helped teachers produce standards-aligned, differentiated, and instructionally coherent lessons while increasing confidence, creativity, and reflective engagement with GenAI tools.
| Idioma original | English |
|---|---|
| Título de la publicación alojada | SIGCSE TS 2026 - Proceedings of the 57th ACM Technical Symposium on Computer Science Education V.2 |
| Páginas | 1383-1384 |
| Número de páginas | 2 |
| ISBN (versión digital) | 9798400722554 |
| DOI | |
| Estado | Published - feb 17 2026 |
| Evento | 57th SIGCSE Technical Symposium on Computer Science Education, SIGCSE TS 2026 - St. Louis, United States Duración: feb 18 2026 → feb 21 2026 |
Serie de la publicación
| Nombre | SIGCSE TS 2026 - Proceedings of the 57th ACM Technical Symposium on Computer Science Education V.2 |
|---|
Conference
| Conference | 57th SIGCSE Technical Symposium on Computer Science Education, SIGCSE TS 2026 |
|---|---|
| País/Territorio | United States |
| Ciudad | St. Louis |
| Período | 2/18/26 → 2/21/26 |
Nota bibliográfica
Publisher Copyright:© 2026 Copyright is held by the owner/author(s).
Financiación
This material is based upon work supported by NSF under grant numbers 2300322 and 2300323.
| Financiadores | Número del financiador |
|---|---|
| National Science Foundation Arctic Social Science Program | 2300323, 2300322 |
ASJC Scopus subject areas
- Computer Science (miscellaneous)
- Education
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