Use the Five S framework to scaffold students' prompt writing with generative AI in chemistry education¶

Strategy · All strategies
Evidence · no claims cited

Description¶

The Five S framework is a prompt-engineering scaffold for educators and students using generative AI, comprising five strategies: "set the scene", "be specific", "simplify language", "structure output", and "share feedback". In the reviewed study A1, chemistry teacher candidates performed exercises using ChatGPT and were informed about the Five S framework, then evaluated their prompts and answers. The review presents it as a solution to the risk of copying unverified AI-generated answers.

Design Implications¶

Context¶

Requirements¶

• Students need opportunities to evaluate their prompts and the AI's answers, as in study A1 where students evaluated their prompts and answers after using ChatGPT.

Constraints¶

• The review reports it as a response to accuracy and reliability risks in chemistry education contexts; the article does not print evidence of its effectiveness beyond the study's survey-based evaluation.

Target Learners¶

• pre-service chemistry teacher candidates
• middle and high school chemistry students

Target Learning Goals¶

• prompt writing skills
• reflective and critical use of generative AI
• chemistry problem solving

Related Strategies¶

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

Examples¶

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Key Sources¶

• Ali Kürşat Erümit, Rabia Özdemir Sarıalioğlu. (2025). Artificial intelligence in science and chemistry education: a systematic review. Discover Education. https://doi.org/10.1007/s44217-025-00622-3