Use generative AI as a no-code development tool so instructors can design laboratory software around their own pedagogical objectives¶

Strategy · All strategies
Evidence · no claims cited

Description¶

The article demonstrates producing a customized measurement application entirely through natural-language prompting, with no manual coding, by refining the specification until the interface met requirements and then asking the assistant for a consolidated prompt that regenerates the final version in one step. Instructors can thus design software around pedagogical objectives — presenting only relevant variables, simplifying the interface, removing unnecessary controls — which the authors say drastically reduces development time and eliminates the need for advanced programming skills.

Design Implications¶

Context¶

Requirements¶

• Refining the specification until the interface meets the instructor's requirements; only the block describing measured quantities is physics-specific, which makes the prompt reusable as a template

Constraints¶

• In the activity as implemented, the AI assistant intervenes before instruction rather than during it; students interact only with the resulting application, not with the assistant itself

Target Learners¶

• physics instructors developing laboratory activities

Target Learning Goals¶

• customized measurement interfaces aligned with specific physics activities

Related Strategies¶

• Smartphysics Rotation Lab App
• A proposed but not yet classroom-evaluated extension: have students write and refine the measurement-application prompt themselves
• Computing instructors should approach GenAI slide generation as programmers: work iteratively with coding assistants and text-based slide toolchains
• Use a natural-language strategy guideline in the generator prompt so tutoring strategy can be revised without code changes
• Iterate the prompt in plain language and validate the simulation on technical, physical, and pedagogical levels
• Use an AI-assisted vibe coding workflow with human pedagogical control to move educational tools from idea to classroom within days

Examples¶

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Key Sources¶

• Josep Ll. Suñer, Francisco M. Muñoz-Pérez, Juan C. Castro-Palacio, Juan A. Monsoriu, Martín Monteiro, Cecilia Stari, and Arturo C. Martí. (2026). Uniform and Accelerated Circular Motion with a Smartphone: A No-Code, AI-Generated Browser Laboratory. https://smartphysics.webs.upv.es/rotation-lab