Teach prompting as a five-part skill (role, task, audience, constraints, justification) with a structured ask-generate-evaluate cycle¶

Strategy · All strategies
Evidence · no claims cited

Description¶

The briefs prescribe a classroom strategy in which "A strong prompt usually includes:" a role, a task, an audience, constraints, and justification, noting teachers already ask specific and detailed questions in daily practice and AI makes this explicit. Students then follow a simple cycle: ask a question and develop a detailed prompt, AI generates a response, and students evaluate the output by checking accuracy, identifying missing perspectives, comparing sources with lateral reading checks, and revising.

Design Implications¶

Context¶

Requirements¶

• Teachers guide students through the evaluation step, which the briefs say supports critical thinking

Constraints¶

Target Learners¶

• K-12 students
• classroom teachers

Target Learning Goals¶

• clarity, writing, and thinking skills
• critical evaluation of AI outputs

Related Strategies¶

• Metacognitive Reflection Prompts
• Ideal Problem Solving
• Use GenAI across the writing process stages of pre-writing, drafting language support, and revision feedback, and for discussion questions, differentiated explanations, and scaffolded practice
• Use the Five S framework to scaffold students' prompt writing with generative AI in chemistry education
• Classroom exercise cycle: select a task, formulate a baseline prompt, submit it to an LLM, then critically analyse the output before revising instructions

Examples¶

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Key Sources¶

• Prado, Y.; Ruiz, P.; Fusco, J.; DuVall, D.; Hinkel, D.; Perkoff, M.; Rocha, O. (2026). AI in Education: A Set of Four Essential Resource Briefs for Educators. Digital Promise. https://doi.org/10.51388/20.500.12265/291